From a362b7348acbbc22e88660bbce69e1a279ea0e65 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Wed, 13 Sep 2023 23:20:56 -0700
Subject: [PATCH 1/3] Created using Colaboratory

---
 tutorials/16-homesale-forecasting.ipynb | 1669 +++++++++++++++++++++++
 1 file changed, 1669 insertions(+)
 create mode 100644 tutorials/16-homesale-forecasting.ipynb

diff --git a/tutorials/16-homesale-forecasting.ipynb b/tutorials/16-homesale-forecasting.ipynb
new file mode 100644
index 0000000000..5febe7dda2
--- /dev/null
+++ b/tutorials/16-homesale-forecasting.ipynb
@@ -0,0 +1,1669 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "toc_visible": true,
+      "authorship_tag": "ABX9TyMRs4OhSD+xFDErR5d6n38S",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/georgia-tech-db/evadb/blob/1063-add-a-model-forecasting-notebook-in-tutorials/tutorials/16-homesale-forecasting.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Setup\n",
+        "We first setup the backend postgres database and EvaDB to bring AI inside database systems."
+      ],
+      "metadata": {
+        "id": "GHToaA_NKiHY"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Start Postgres"
+      ],
+      "metadata": {
+        "id": "f1GutjuqECBh"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!apt install postgresql\n",
+        "!service postgresql start"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Z7PodOEEEDsQ",
+        "outputId": "2e1039a1-415f-47c0-bae6-784b15d10714"
+      },
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Reading package lists... Done\n",
+            "Building dependency tree... Done\n",
+            "Reading state information... Done\n",
+            "The following additional packages will be installed:\n",
+            "  libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl\n",
+            "  logrotate netbase postgresql-14 postgresql-client-14\n",
+            "  postgresql-client-common postgresql-common ssl-cert sysstat\n",
+            "Suggested packages:\n",
+            "  bsd-mailx | mailx postgresql-doc postgresql-doc-14 isag\n",
+            "The following NEW packages will be installed:\n",
+            "  libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl\n",
+            "  logrotate netbase postgresql postgresql-14 postgresql-client-14\n",
+            "  postgresql-client-common postgresql-common ssl-cert sysstat\n",
+            "0 upgraded, 13 newly installed, 0 to remove and 16 not upgraded.\n",
+            "Need to get 18.3 MB of archives.\n",
+            "After this operation, 51.5 MB of additional disk space will be used.\n",
+            "Get:1 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 logrotate amd64 3.19.0-1ubuntu1.1 [54.3 kB]\n",
+            "Get:2 http://archive.ubuntu.com/ubuntu jammy/main amd64 netbase all 6.3 [12.9 kB]\n",
+            "Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 libcommon-sense-perl amd64 3.75-2build1 [21.1 kB]\n",
+            "Get:4 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-perl all 4.04000-1 [81.8 kB]\n",
+            "Get:5 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtypes-serialiser-perl all 1.01-1 [11.6 kB]\n",
+            "Get:6 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-xs-perl amd64 4.030-1build3 [87.2 kB]\n",
+            "Get:7 http://archive.ubuntu.com/ubuntu jammy/main amd64 postgresql-client-common all 238 [29.6 kB]\n",
+            "Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 postgresql-client-14 amd64 14.9-0ubuntu0.22.04.1 [1,222 kB]\n",
+            "Get:9 http://archive.ubuntu.com/ubuntu jammy/main amd64 ssl-cert all 1.1.2 [17.4 kB]\n",
+            "Get:10 http://archive.ubuntu.com/ubuntu jammy/main amd64 postgresql-common all 238 [169 kB]\n",
+            "Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 postgresql-14 amd64 14.9-0ubuntu0.22.04.1 [16.1 MB]\n",
+            "Get:12 http://archive.ubuntu.com/ubuntu jammy/main amd64 postgresql all 14+238 [3,288 B]\n",
+            "Get:13 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 sysstat amd64 12.5.2-2ubuntu0.2 [487 kB]\n",
+            "Fetched 18.3 MB in 2s (12.2 MB/s)\n",
+            "Preconfiguring packages ...\n",
+            "Selecting previously unselected package logrotate.\n",
+            "(Reading database ... 120901 files and directories currently installed.)\n",
+            "Preparing to unpack .../00-logrotate_3.19.0-1ubuntu1.1_amd64.deb ...\n",
+            "Unpacking logrotate (3.19.0-1ubuntu1.1) ...\n",
+            "Selecting previously unselected package netbase.\n",
+            "Preparing to unpack .../01-netbase_6.3_all.deb ...\n",
+            "Unpacking netbase (6.3) ...\n",
+            "Selecting previously unselected package libcommon-sense-perl:amd64.\n",
+            "Preparing to unpack .../02-libcommon-sense-perl_3.75-2build1_amd64.deb ...\n",
+            "Unpacking libcommon-sense-perl:amd64 (3.75-2build1) ...\n",
+            "Selecting previously unselected package libjson-perl.\n",
+            "Preparing to unpack .../03-libjson-perl_4.04000-1_all.deb ...\n",
+            "Unpacking libjson-perl (4.04000-1) ...\n",
+            "Selecting previously unselected package libtypes-serialiser-perl.\n",
+            "Preparing to unpack .../04-libtypes-serialiser-perl_1.01-1_all.deb ...\n",
+            "Unpacking libtypes-serialiser-perl (1.01-1) ...\n",
+            "Selecting previously unselected package libjson-xs-perl.\n",
+            "Preparing to unpack .../05-libjson-xs-perl_4.030-1build3_amd64.deb ...\n",
+            "Unpacking libjson-xs-perl (4.030-1build3) ...\n",
+            "Selecting previously unselected package postgresql-client-common.\n",
+            "Preparing to unpack .../06-postgresql-client-common_238_all.deb ...\n",
+            "Unpacking postgresql-client-common (238) ...\n",
+            "Selecting previously unselected package postgresql-client-14.\n",
+            "Preparing to unpack .../07-postgresql-client-14_14.9-0ubuntu0.22.04.1_amd64.deb ...\n",
+            "Unpacking postgresql-client-14 (14.9-0ubuntu0.22.04.1) ...\n",
+            "Selecting previously unselected package ssl-cert.\n",
+            "Preparing to unpack .../08-ssl-cert_1.1.2_all.deb ...\n",
+            "Unpacking ssl-cert (1.1.2) ...\n",
+            "Selecting previously unselected package postgresql-common.\n",
+            "Preparing to unpack .../09-postgresql-common_238_all.deb ...\n",
+            "Adding 'diversion of /usr/bin/pg_config to /usr/bin/pg_config.libpq-dev by postgresql-common'\n",
+            "Unpacking postgresql-common (238) ...\n",
+            "Selecting previously unselected package postgresql-14.\n",
+            "Preparing to unpack .../10-postgresql-14_14.9-0ubuntu0.22.04.1_amd64.deb ...\n",
+            "Unpacking postgresql-14 (14.9-0ubuntu0.22.04.1) ...\n",
+            "Selecting previously unselected package postgresql.\n",
+            "Preparing to unpack .../11-postgresql_14+238_all.deb ...\n",
+            "Unpacking postgresql (14+238) ...\n",
+            "Selecting previously unselected package sysstat.\n",
+            "Preparing to unpack .../12-sysstat_12.5.2-2ubuntu0.2_amd64.deb ...\n",
+            "Unpacking sysstat (12.5.2-2ubuntu0.2) ...\n",
+            "Setting up logrotate (3.19.0-1ubuntu1.1) ...\n",
+            "Created symlink /etc/systemd/system/timers.target.wants/logrotate.timer → /lib/systemd/system/logrotate.timer.\n",
+            "Setting up libcommon-sense-perl:amd64 (3.75-2build1) ...\n",
+            "Setting up ssl-cert (1.1.2) ...\n",
+            "Setting up libtypes-serialiser-perl (1.01-1) ...\n",
+            "Setting up libjson-perl (4.04000-1) ...\n",
+            "Setting up netbase (6.3) ...\n",
+            "Setting up sysstat (12.5.2-2ubuntu0.2) ...\n",
+            "\n",
+            "Creating config file /etc/default/sysstat with new version\n",
+            "update-alternatives: using /usr/bin/sar.sysstat to provide /usr/bin/sar (sar) in auto mode\n",
+            "Created symlink /etc/systemd/system/sysstat.service.wants/sysstat-collect.timer → /lib/systemd/system/sysstat-collect.timer.\n",
+            "Created symlink /etc/systemd/system/sysstat.service.wants/sysstat-summary.timer → /lib/systemd/system/sysstat-summary.timer.\n",
+            "Created symlink /etc/systemd/system/multi-user.target.wants/sysstat.service → /lib/systemd/system/sysstat.service.\n",
+            "Setting up postgresql-client-common (238) ...\n",
+            "Setting up libjson-xs-perl (4.030-1build3) ...\n",
+            "Setting up postgresql-client-14 (14.9-0ubuntu0.22.04.1) ...\n",
+            "update-alternatives: using /usr/share/postgresql/14/man/man1/psql.1.gz to provide /usr/share/man/man1/psql.1.gz (psql.1.gz) in auto mode\n",
+            "Setting up postgresql-common (238) ...\n",
+            "Adding user postgres to group ssl-cert\n",
+            "\n",
+            "Creating config file /etc/postgresql-common/createcluster.conf with new version\n",
+            "Building PostgreSQL dictionaries from installed myspell/hunspell packages...\n",
+            "Removing obsolete dictionary files:\n",
+            "Created symlink /etc/systemd/system/multi-user.target.wants/postgresql.service → /lib/systemd/system/postgresql.service.\n",
+            "Setting up postgresql-14 (14.9-0ubuntu0.22.04.1) ...\n",
+            "Creating new PostgreSQL cluster 14/main ...\n",
+            "/usr/lib/postgresql/14/bin/initdb -D /var/lib/postgresql/14/main --auth-local peer --auth-host scram-sha-256 --no-instructions\n",
+            "The files belonging to this database system will be owned by user \"postgres\".\n",
+            "This user must also own the server process.\n",
+            "\n",
+            "The database cluster will be initialized with locale \"en_US.UTF-8\".\n",
+            "The default database encoding has accordingly been set to \"UTF8\".\n",
+            "The default text search configuration will be set to \"english\".\n",
+            "\n",
+            "Data page checksums are disabled.\n",
+            "\n",
+            "fixing permissions on existing directory /var/lib/postgresql/14/main ... ok\n",
+            "creating subdirectories ... ok\n",
+            "selecting dynamic shared memory implementation ... posix\n",
+            "selecting default max_connections ... 100\n",
+            "selecting default shared_buffers ... 128MB\n",
+            "selecting default time zone ... Etc/UTC\n",
+            "creating configuration files ... ok\n",
+            "running bootstrap script ... ok\n",
+            "performing post-bootstrap initialization ... ok\n",
+            "syncing data to disk ... ok\n",
+            "update-alternatives: using /usr/share/postgresql/14/man/man1/postmaster.1.gz to provide /usr/share/man/man1/postmaster.1.gz (postmaster.1.gz) in auto mode\n",
+            "invoke-rc.d: could not determine current runlevel\n",
+            "invoke-rc.d: policy-rc.d denied execution of start.\n",
+            "Setting up postgresql (14+238) ...\n",
+            "Processing triggers for man-db (2.10.2-1) ...\n",
+            " * Starting PostgreSQL 14 database server\n",
+            "   ...done.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Create User and Database"
+      ],
+      "metadata": {
+        "id": "hfBwvBTfEWIR"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!sudo -u postgres psql -c \"CREATE USER eva WITH SUPERUSER PASSWORD 'password'\"\n",
+        "!sudo -u postgres psql -c \"CREATE DATABASE evadb\""
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "UrlfWZOkEa4V",
+        "outputId": "dcbf46f5-489d-41bd-ad76-ce9254d3692c"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "CREATE ROLE\n",
+            "CREATE DATABASE\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "###Prettify  Output"
+      ],
+      "metadata": {
+        "id": "H2m43vfZE8x6"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import warnings\n",
+        "warnings.filterwarnings(\"ignore\")\n",
+        "\n",
+        "from IPython.core.display import display, HTML\n",
+        "def pretty_print(df):\n",
+        "    return display(HTML( df.to_html().replace(\"\\\\n\",\"<br>\")))"
+      ],
+      "metadata": {
+        "id": "EZf65ZkcFIX7"
+      },
+      "execution_count": 3,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Install EvaDB\n",
+        "\n",
+        "We install EvaDB with extra postgres and forecasting dependency."
+      ],
+      "metadata": {
+        "id": "CpYS09iMEhaT"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "%pip install --quiet \"evadb[postgres,forecasting] @ git+https://github.com/georgia-tech-db/evadb.git@a40c72ed6cb18993e2ae5bda28c7195f4de4f109\"\n",
+        "\n",
+        "import evadb\n",
+        "cursor = evadb.connect().cursor()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "NoAykveeElqm",
+        "outputId": "456ac4a4-0b88-4c86-b183-4fbd2f5a2b0c"
+      },
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\u001b[33mWARNING: Skipping evadb as it is not installed.\u001b[0m\u001b[33m\n",
+            "\u001b[0m  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m108.9/108.9 kB\u001b[0m \u001b[31m8.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.6/137.6 kB\u001b[0m \u001b[31m6.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.5/45.5 kB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m110.9/110.9 kB\u001b[0m \u001b[31m12.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m98.7/98.7 kB\u001b[0m \u001b[31m10.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m275.0/275.0 kB\u001b[0m \u001b[31m11.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m23.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.0/57.0 kB\u001b[0m \u001b[31m4.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m169.2/169.2 kB\u001b[0m \u001b[31m17.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.6/154.6 kB\u001b[0m \u001b[31m18.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m303.2/303.2 kB\u001b[0m \u001b[31m23.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m144.2/144.2 kB\u001b[0m \u001b[31m16.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.3/135.3 kB\u001b[0m \u001b[31m13.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h  Building wheel for evadb (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Building wheel for fugue-sql-antlr (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "Downloading: \"http://ml.cs.tsinghua.edu.cn/~chenxi/pytorch-models/mnist-b07bb66b.pth\" to /root/.cache/torch/hub/checkpoints/mnist-b07bb66b.pth\n",
+            "100%|██████████| 1.03M/1.03M [00:01<00:00, 1.05MB/s]\n",
+            "Downloading: \"https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\" to /root/.cache/torch/hub/checkpoints/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Prepare Data\n",
+        "We then prepara the dataset used in this time serise forecasting use case."
+      ],
+      "metadata": {
+        "id": "mUN-rlV8LHxN"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Create Data Source in EvaDB\n",
+        "We use data source to connect EvaDB directly to underlying database systems like Postgres."
+      ],
+      "metadata": {
+        "id": "nKwAY9eMFoc8"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "params = {\n",
+        "    \"user\": \"eva\",\n",
+        "    \"password\": \"password\",\n",
+        "    \"host\": \"localhost\",\n",
+        "    \"port\": \"5432\",\n",
+        "    \"database\": \"evadb\",\n",
+        "}\n",
+        "query = f\"CREATE DATABASE postgres_data WITH ENGINE = 'postgres', PARAMETERS = {params};\"\n",
+        "cursor.query(query).df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 81
+        },
+        "id": "IsP6rLZ2Ftxo",
+        "outputId": "4f337261-1a04-4a1f-b8a3-f521536e4171"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                                                   0\n",
+              "0  The database postgres_data has been successful..."
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-b0ce05e2-c408-4971-b37f-c5c8f6eda93f\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>0</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>The database postgres_data has been successful...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b0ce05e2-c408-4971-b37f-c5c8f6eda93f')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
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+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-b0ce05e2-c408-4971-b37f-c5c8f6eda93f button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-b0ce05e2-c408-4971-b37f-c5c8f6eda93f');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 5
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Load the Datasets\n",
+        "We load the [House Property Sales Time Series](https://www.kaggle.com/datasets/htagholdings/property-sales?resource=download) into our PostgreSQL database."
+      ],
+      "metadata": {
+        "id": "Lwls48NQJb6G"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!mkdir -p content\n",
+        "!wget -qnc -O /content/home_sales.csv https://www.dropbox.com/scl/fi/ww9qejjd3u9gc0m7dagiz/home_sales.csv?rlkey=3gy7yo3michjyumnhi8z24pys&dl=0"
+      ],
+      "metadata": {
+        "id": "msbHcP_xJpFV"
+      },
+      "execution_count": 6,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  USE postgres_data {\n",
+        "    CREATE TABLE IF NOT EXISTS home_sales (saledate VARCHAR(64), MA INT, type VARCHAR(64), bedrooms INT)\n",
+        "  }\n",
+        "\"\"\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 81
+        },
+        "id": "MhYfovbzNB-k",
+        "outputId": "ee87f25a-a6a6-4459-e808-8031ee356a27"
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    status\n",
+              "0  success"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-0b36c931-ccc1-4225-a5cc-5681f70b3643\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>status</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>success</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0b36c931-ccc1-4225-a5cc-5681f70b3643')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-0b36c931-ccc1-4225-a5cc-5681f70b3643 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-0b36c931-ccc1-4225-a5cc-5681f70b3643');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 7
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  USE postgres_data {\n",
+        "    COPY home_sales(saledate, MA, type, bedrooms)\n",
+        "    FROM '/content/home_sales.csv'\n",
+        "    DELIMITER ',' CSV HEADER\n",
+        "  }\n",
+        "\"\"\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 81
+        },
+        "id": "OH8Fxn0SNYO3",
+        "outputId": "1473db0e-2e2c-462b-c46a-85a425012545"
+      },
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    status\n",
+              "0  success"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-20324510-2173-4e9a-bb6e-edd94db55135\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>status</th>\n",
+              "    </tr>\n",
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+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>success</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-20324510-2173-4e9a-bb6e-edd94db55135')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-20324510-2173-4e9a-bb6e-edd94db55135 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-20324510-2173-4e9a-bb6e-edd94db55135');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 8
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Preview the Data\n",
+        "The `home_sales` table contains 4 columns.\n",
+        "- saledate: the date that home was sold\n",
+        "- ma: moving average of the historical median price of the home\n",
+        "- type: whether the home is house or unit\n",
+        "- bedrooms: number of bedrooms"
+      ],
+      "metadata": {
+        "id": "vKXHBLtxNsbg"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"SELECT * FROM postgres_data.home_sales LIMIT 3;\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 143
+        },
+        "id": "20_IEby7N1Pe",
+        "outputId": "979ac973-b746-4b2c-b28f-c9672f4f4b8f"
+      },
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "   home_sales.ma  home_sales.bedrooms home_sales.saledate home_sales.type\n",
+              "0         441854                    2          30/09/2007           house\n",
+              "1         441854                    2          31/12/2007           house\n",
+              "2         441854                    2          31/03/2008           house"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-fcae13ec-c500-455b-99a5-6771a2060dbc\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>home_sales.ma</th>\n",
+              "      <th>home_sales.bedrooms</th>\n",
+              "      <th>home_sales.saledate</th>\n",
+              "      <th>home_sales.type</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>441854</td>\n",
+              "      <td>2</td>\n",
+              "      <td>30/09/2007</td>\n",
+              "      <td>house</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>441854</td>\n",
+              "      <td>2</td>\n",
+              "      <td>31/12/2007</td>\n",
+              "      <td>house</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>441854</td>\n",
+              "      <td>2</td>\n",
+              "      <td>31/03/2008</td>\n",
+              "      <td>house</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fcae13ec-c500-455b-99a5-6771a2060dbc')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
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+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-fcae13ec-c500-455b-99a5-6771a2060dbc button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-fcae13ec-c500-455b-99a5-6771a2060dbc');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-09e849bc-61d8-462d-be7f-033ecadfaa89\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-09e849bc-61d8-462d-be7f-033ecadfaa89')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
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+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
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+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
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+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
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+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-09e849bc-61d8-462d-be7f-033ecadfaa89 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 9
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [],
+      "metadata": {
+        "id": "TPpLZnydO2Ti"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "## Analysis Data with EvaDB\n",
+        "\n",
+        "We then use EvaDB to train a model to forecast the home price."
+      ],
+      "metadata": {
+        "id": "7DX411TFO-Lp"
+      }
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Train the Forecast Model\n",
+        "We use the [statsforecast](https://github.com/Nixtla/statsforecast) engine to train a time serise forecast model for sale prices of home with two bedrooms."
+      ],
+      "metadata": {
+        "id": "hoLzadFlPOvh"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"\"\"\n",
+        "  CREATE FUNCTION IF NOT EXISTS HomeSaleForecast FROM\n",
+        "    (\n",
+        "      SELECT type, saledate, ma\n",
+        "      FROM postgres_data.home_sales\n",
+        "      WHERE bedrooms = 2\n",
+        "    )\n",
+        "  TYPE Forecasting\n",
+        "  PREDICT 'ma'\n",
+        "  TIME 'saledate'\n",
+        "  ID 'type'\n",
+        "  FREQUENCY 'M';\n",
+        "\"\"\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 81
+        },
+        "id": "IFstPBI8UINv",
+        "outputId": "1499f130-ce52-44ec-d398-5dddc3f5d3b6"
+      },
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "                                                   0\n",
+              "0  Function HomeSaleForecast successfully added t..."
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-b6d0a15a-7769-4923-a238-601083cb2845\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>0</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Function HomeSaleForecast successfully added t...</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b6d0a15a-7769-4923-a238-601083cb2845')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-b6d0a15a-7769-4923-a238-601083cb2845 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-b6d0a15a-7769-4923-a238-601083cb2845');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 10
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### Use the Forecast Model\n",
+        "We then use the `HomeSaleForecast` model to predict the sale price for homes with two bedrooms for the next three month."
+      ],
+      "metadata": {
+        "id": "AhItlDfBUHOo"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"SELECT HomeSaleForecast(3);\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 238
+        },
+        "id": "_7m-QQG5U3_C",
+        "outputId": "86383f52-ea94-47aa-847c-363bc65b5d56"
+      },
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  homesaleforecast.type homesaleforecast.saledate  homesaleforecast.ma\n",
+              "0                 house                2019-10-31         510712.00000\n",
+              "1                 house                2019-11-30         510712.00000\n",
+              "2                 house                2019-12-31         510712.00000\n",
+              "3                  unit                2019-10-31         423431.37500\n",
+              "4                  unit                2019-11-30         422450.78125\n",
+              "5                  unit                2019-12-31         421470.15625"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-ece70f18-7c0a-4f77-89d7-b8b4fb4cbe73\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>homesaleforecast.type</th>\n",
+              "      <th>homesaleforecast.saledate</th>\n",
+              "      <th>homesaleforecast.ma</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>house</td>\n",
+              "      <td>2019-10-31</td>\n",
+              "      <td>510712.00000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>house</td>\n",
+              "      <td>2019-11-30</td>\n",
+              "      <td>510712.00000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>house</td>\n",
+              "      <td>2019-12-31</td>\n",
+              "      <td>510712.00000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>unit</td>\n",
+              "      <td>2019-10-31</td>\n",
+              "      <td>423431.37500</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>unit</td>\n",
+              "      <td>2019-11-30</td>\n",
+              "      <td>422450.78125</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>unit</td>\n",
+              "      <td>2019-12-31</td>\n",
+              "      <td>421470.15625</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ece70f18-7c0a-4f77-89d7-b8b4fb4cbe73')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "  </svg>\n",
+              "    </button>\n",
+              "\n",
+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
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+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-ece70f18-7c0a-4f77-89d7-b8b4fb4cbe73 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-ece70f18-7c0a-4f77-89d7-b8b4fb4cbe73');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
+              "      }\n",
+              "    </script>\n",
+              "  </div>\n",
+              "\n",
+              "\n",
+              "<div id=\"df-88c4f64a-0fc3-44dd-848a-2d752312d0c5\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-88c4f64a-0fc3-44dd-848a-2d752312d0c5')\"\n",
+              "            title=\"Suggest charts.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
+              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
+              "     width=\"24px\">\n",
+              "    <g>\n",
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+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
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+              "    20% {\n",
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+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
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+              "    30% {\n",
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+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-88c4f64a-0fc3-44dd-848a-2d752312d0c5 button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 11
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "We can use `ORDER BY` to find out the type of home and months that have lower market price."
+      ],
+      "metadata": {
+        "id": "cShJsgoRVmXU"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cursor.query(\"SELECT HomeSaleForecast(3) ORDER BY ma;\").df()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 355
+        },
+        "id": "abmrZiOzVO5S",
+        "outputId": "14324529-618b-4158-9930-cf47b01e2196"
+      },
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "09-14-2023 06:17:03 ERROR [statement_binder_context:statement_binder_context.py:raise_error:0147] Found invalid column ma\n",
+            "ERROR:evadb.utils.logging_manager:Found invalid column ma\n"
+          ]
+        },
+        {
+          "output_type": "error",
+          "ename": "BinderError",
+          "evalue": "ignored",
+          "traceback": [
+            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+            "\u001b[0;31mBinderError\u001b[0m                               Traceback (most recent call last)",
+            "\u001b[0;32m<ipython-input-15-b8688bcf0d02>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcursor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"SELECT HomeSaleForecast(3).ma ORDER BY MA;\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/interfaces/relational/relation.py\u001b[0m in \u001b[0;36mdf\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    108\u001b[0m             \u001b[0mpandas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m         \"\"\"\n\u001b[0;32m--> 110\u001b[0;31m         \u001b[0mbatch\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    111\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mbatch\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"relation execute failed\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mframes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/interfaces/relational/relation.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    118\u001b[0m             \u001b[0mBatch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mevadb\u001b[0m \u001b[0mBatch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    119\u001b[0m         \"\"\"\n\u001b[0;32m--> 120\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexecute_statement\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_evadb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_query_node\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    121\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mframes\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    122\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/server/command_handler.py\u001b[0m in \u001b[0;36mexecute_statement\u001b[0;34m(evadb, stmt, do_not_raise_exceptions, do_not_print_exceptions, **kwargs)\u001b[0m\n\u001b[1;32m     42\u001b[0m     \u001b[0mplan_generator\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"plan_generator\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPlanGenerator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevadb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstmt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSKIP_BINDER_AND_OPTIMIZER_STATEMENTS\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 44\u001b[0;31m         \u001b[0mStatementBinder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mStatementBinderContext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevadb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcatalog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstmt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     45\u001b[0m         \u001b[0mlogical_plan\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mStatementToPlanConverter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvisit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstmt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     46\u001b[0m         \u001b[0mphysical_plan\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplan_generator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuild\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlogical_plan\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/lib/python3.10/functools.py\u001b[0m in \u001b[0;36m_method\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    924\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0m_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    925\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatcher\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 926\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__get__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    927\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    928\u001b[0m         \u001b[0m_method\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isabstractmethod__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isabstractmethod__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/binder/statement_binder.py\u001b[0m in \u001b[0;36m_bind_select_statement\u001b[0;34m(self, node)\u001b[0m\n\u001b[1;32m    206\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morderby_list\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    207\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mexpr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morderby_list\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 208\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    209\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munion_link\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    210\u001b[0m             \u001b[0mcurrent_context\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_binder_context\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/lib/python3.10/functools.py\u001b[0m in \u001b[0;36m_method\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    924\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0m_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    925\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatcher\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 926\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__get__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    927\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    928\u001b[0m         \u001b[0m_method\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isabstractmethod__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isabstractmethod__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/binder/statement_binder.py\u001b[0m in \u001b[0;36m_bind_tuple_expr\u001b[0;34m(self, node)\u001b[0m\n\u001b[1;32m    294\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregister\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mTupleValueExpression\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_bind_tuple_expr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTupleValueExpression\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m         table_alias, col_obj = self._binder_context.get_binded_column(\n\u001b[0m\u001b[1;32m    297\u001b[0m             \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtable_alias\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m         )\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/binder/statement_binder_context.py\u001b[0m in \u001b[0;36mget_binded_column\u001b[0;34m(self, col_name, alias)\u001b[0m\n\u001b[1;32m    159\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0malias\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcol_obj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 161\u001b[0;31m         \u001b[0mraise_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_check_table_alias_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malias\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcol_name\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mColumnCatalogEntry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/binder/statement_binder_context.py\u001b[0m in \u001b[0;36mraise_error\u001b[0;34m()\u001b[0m\n\u001b[1;32m    146\u001b[0m             \u001b[0merr_msg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"Found invalid column {col_name}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m             \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merr_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 148\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mBinderError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merr_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0malias\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+            "\u001b[0;31mBinderError\u001b[0m: Found invalid column ma"
+          ]
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file

From fd3432a0c3f2c24a126a5675b952f3782af86f26 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Wed, 13 Sep 2023 23:26:19 -0700
Subject: [PATCH 2/3] Update the title

---
 tutorials/16-homesale-forecasting.ipynb | 29 ++++++++++++++++++-------
 1 file changed, 21 insertions(+), 8 deletions(-)

diff --git a/tutorials/16-homesale-forecasting.ipynb b/tutorials/16-homesale-forecasting.ipynb
index 5febe7dda2..a6fa3c3044 100644
--- a/tutorials/16-homesale-forecasting.ipynb
+++ b/tutorials/16-homesale-forecasting.ipynb
@@ -5,8 +5,10 @@
     "colab": {
       "provenance": [],
       "toc_visible": true,
-      "authorship_tag": "ABX9TyMRs4OhSD+xFDErR5d6n38S",
-      "include_colab_link": true
+      "collapsed_sections": [
+        "GHToaA_NKiHY"
+      ],
+      "authorship_tag": "ABX9TyPDYDZy7r2CJmf1GcxtVkx9"
     },
     "kernelspec": {
       "name": "python3",
@@ -19,13 +21,24 @@
   "cells": [
     {
       "cell_type": "markdown",
-      "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
-      },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/georgia-tech-db/evadb/blob/1063-add-a-model-forecasting-notebook-in-tutorials/tutorials/16-homesale-forecasting.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
-      ]
+        "# Home Sale Forecasting\n",
+        "In this tutorial, we demonstrate how to use the forecasting capablity of EvaDB to predict the home sale price.\n",
+        "<table align=\"left\">\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/georgia-tech-db/eva/blob/master/tutorials/16-homesale-forecasting.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /> Run on Google Colab</a>\n",
+        "  </td>\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://github.com/georgia-tech-db/eva/blob/master/tutorials/16-homesale-forecasting.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a>\n",
+        "  </td>\n",
+        "  <td>\n",
+        "    <a target=\"_blank\" href=\"https://github.com/georgia-tech-db/eva/raw/master/tutorials/16-homesale-forecasting.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\" /> Download notebook</a>\n",
+        "  </td>\n",
+        "</table><br><br>"
+      ],
+      "metadata": {
+        "id": "QjHMHmrUW0Vg"
+      }
     },
     {
       "cell_type": "markdown",

From 3b1b7b6fed2829510ac739215dbc7004d2370e17 Mon Sep 17 00:00:00 2001
From: Andy Xu <xzdandy@gmail.com>
Date: Thu, 14 Sep 2023 22:53:53 -0700
Subject: [PATCH 3/3] Having a basic version

---
 tutorials/16-homesale-forecasting.ipynb | 608 +++++++++++++++++-------
 1 file changed, 433 insertions(+), 175 deletions(-)

diff --git a/tutorials/16-homesale-forecasting.ipynb b/tutorials/16-homesale-forecasting.ipynb
index a6fa3c3044..f2d81c9ff7 100644
--- a/tutorials/16-homesale-forecasting.ipynb
+++ b/tutorials/16-homesale-forecasting.ipynb
@@ -8,7 +8,7 @@
       "collapsed_sections": [
         "GHToaA_NKiHY"
       ],
-      "authorship_tag": "ABX9TyPDYDZy7r2CJmf1GcxtVkx9"
+      "authorship_tag": "ABX9TyPOmDfDbnc8CP+70g/FkjHR"
     },
     "kernelspec": {
       "name": "python3",
@@ -62,7 +62,7 @@
     {
       "cell_type": "code",
       "source": [
-        "!apt install postgresql\n",
+        "!apt -qq install postgresql\n",
         "!service postgresql start"
       ],
       "metadata": {
@@ -70,7 +70,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "Z7PodOEEEDsQ",
-        "outputId": "2e1039a1-415f-47c0-bae6-784b15d10714"
+        "outputId": "0dcaa531-ae05-4c13-ab74-6dacdf6d8739"
       },
       "execution_count": 1,
       "outputs": [
@@ -78,9 +78,6 @@
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Reading package lists... Done\n",
-            "Building dependency tree... Done\n",
-            "Reading state information... Done\n",
             "The following additional packages will be installed:\n",
             "  libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl\n",
             "  logrotate netbase postgresql-14 postgresql-client-14\n",
@@ -91,23 +88,9 @@
             "  libcommon-sense-perl libjson-perl libjson-xs-perl libtypes-serialiser-perl\n",
             "  logrotate netbase postgresql postgresql-14 postgresql-client-14\n",
             "  postgresql-client-common postgresql-common ssl-cert sysstat\n",
-            "0 upgraded, 13 newly installed, 0 to remove and 16 not upgraded.\n",
+            "0 upgraded, 13 newly installed, 0 to remove and 18 not upgraded.\n",
             "Need to get 18.3 MB of archives.\n",
             "After this operation, 51.5 MB of additional disk space will be used.\n",
-            "Get:1 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 logrotate amd64 3.19.0-1ubuntu1.1 [54.3 kB]\n",
-            "Get:2 http://archive.ubuntu.com/ubuntu jammy/main amd64 netbase all 6.3 [12.9 kB]\n",
-            "Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 libcommon-sense-perl amd64 3.75-2build1 [21.1 kB]\n",
-            "Get:4 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-perl all 4.04000-1 [81.8 kB]\n",
-            "Get:5 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtypes-serialiser-perl all 1.01-1 [11.6 kB]\n",
-            "Get:6 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-xs-perl amd64 4.030-1build3 [87.2 kB]\n",
-            "Get:7 http://archive.ubuntu.com/ubuntu jammy/main amd64 postgresql-client-common all 238 [29.6 kB]\n",
-            "Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 postgresql-client-14 amd64 14.9-0ubuntu0.22.04.1 [1,222 kB]\n",
-            "Get:9 http://archive.ubuntu.com/ubuntu jammy/main amd64 ssl-cert all 1.1.2 [17.4 kB]\n",
-            "Get:10 http://archive.ubuntu.com/ubuntu jammy/main amd64 postgresql-common all 238 [169 kB]\n",
-            "Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 postgresql-14 amd64 14.9-0ubuntu0.22.04.1 [16.1 MB]\n",
-            "Get:12 http://archive.ubuntu.com/ubuntu jammy/main amd64 postgresql all 14+238 [3,288 B]\n",
-            "Get:13 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 sysstat amd64 12.5.2-2ubuntu0.2 [487 kB]\n",
-            "Fetched 18.3 MB in 2s (12.2 MB/s)\n",
             "Preconfiguring packages ...\n",
             "Selecting previously unselected package logrotate.\n",
             "(Reading database ... 120901 files and directories currently installed.)\n",
@@ -228,7 +211,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "UrlfWZOkEa4V",
-        "outputId": "dcbf46f5-489d-41bd-ad76-ce9254d3692c"
+        "outputId": "1fc62319-0d3f-4f2a-bcc4-e408587e50fb"
       },
       "execution_count": 2,
       "outputs": [
@@ -291,7 +274,7 @@
           "base_uri": "https://localhost:8080/"
         },
         "id": "NoAykveeElqm",
-        "outputId": "456ac4a4-0b88-4c86-b183-4fbd2f5a2b0c"
+        "outputId": "de6547e5-670d-4fba-d081-30ffecc74849"
       },
       "execution_count": 4,
       "outputs": [
@@ -299,25 +282,25 @@
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "\u001b[33mWARNING: Skipping evadb as it is not installed.\u001b[0m\u001b[33m\n",
-            "\u001b[0m  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
             "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
             "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 kB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m108.9/108.9 kB\u001b[0m \u001b[31m8.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.6/137.6 kB\u001b[0m \u001b[31m6.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m98.7/98.7 kB\u001b[0m \u001b[31m10.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m275.0/275.0 kB\u001b[0m \u001b[31m11.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m23.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.0/57.0 kB\u001b[0m \u001b[31m4.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m169.2/169.2 kB\u001b[0m \u001b[31m17.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.6/154.6 kB\u001b[0m \u001b[31m18.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 kB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m108.9/108.9 kB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m137.6/137.6 kB\u001b[0m \u001b[31m15.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.5/45.5 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m110.9/110.9 kB\u001b[0m \u001b[31m14.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m98.7/98.7 kB\u001b[0m \u001b[31m11.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m275.0/275.0 kB\u001b[0m \u001b[31m26.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.1/3.1 MB\u001b[0m \u001b[31m32.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25h\u001b[33mWARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProtocolError('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))': /simple/triad/\u001b[0m\u001b[33m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m57.0/57.0 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m169.2/169.2 kB\u001b[0m \u001b[31m20.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.6/154.6 kB\u001b[0m \u001b[31m15.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
             "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m303.2/303.2 kB\u001b[0m \u001b[31m23.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m144.2/144.2 kB\u001b[0m \u001b[31m16.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
-            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.3/135.3 kB\u001b[0m \u001b[31m13.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m303.2/303.2 kB\u001b[0m \u001b[31m32.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m144.2/144.2 kB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m135.3/135.3 kB\u001b[0m \u001b[31m17.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
             "\u001b[?25h  Building wheel for evadb (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
             "  Building wheel for fugue-sql-antlr (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
           ]
@@ -327,7 +310,7 @@
           "name": "stderr",
           "text": [
             "Downloading: \"http://ml.cs.tsinghua.edu.cn/~chenxi/pytorch-models/mnist-b07bb66b.pth\" to /root/.cache/torch/hub/checkpoints/mnist-b07bb66b.pth\n",
-            "100%|██████████| 1.03M/1.03M [00:01<00:00, 1.05MB/s]\n",
+            "100%|██████████| 1.03M/1.03M [00:01<00:00, 898kB/s]\n",
             "Downloading: \"https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\" to /root/.cache/torch/hub/checkpoints/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\n"
           ]
         }
@@ -372,7 +355,7 @@
           "height": 81
         },
         "id": "IsP6rLZ2Ftxo",
-        "outputId": "4f337261-1a04-4a1f-b8a3-f521536e4171"
+        "outputId": "eee82699-fd4f-4aa8-edac-a9f0e0575e98"
       },
       "execution_count": 5,
       "outputs": [
@@ -385,7 +368,7 @@
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-b0ce05e2-c408-4971-b37f-c5c8f6eda93f\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-559fd0c5-3aa0-4b5c-be1b-18203fb7d960\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -418,7 +401,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b0ce05e2-c408-4971-b37f-c5c8f6eda93f')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-559fd0c5-3aa0-4b5c-be1b-18203fb7d960')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -470,12 +453,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-b0ce05e2-c408-4971-b37f-c5c8f6eda93f button.colab-df-convert');\n",
+              "        document.querySelector('#df-559fd0c5-3aa0-4b5c-be1b-18203fb7d960 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-b0ce05e2-c408-4971-b37f-c5c8f6eda93f');\n",
+              "        const element = document.querySelector('#df-559fd0c5-3aa0-4b5c-be1b-18203fb7d960');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -517,12 +500,12 @@
       "cell_type": "code",
       "source": [
         "!mkdir -p content\n",
-        "!wget -qnc -O /content/home_sales.csv https://www.dropbox.com/scl/fi/ww9qejjd3u9gc0m7dagiz/home_sales.csv?rlkey=3gy7yo3michjyumnhi8z24pys&dl=0"
+        "!wget -qnc -O /content/home_sales.csv https://www.dropbox.com/scl/fi/2e9yyzymm0rwzria2kvzo/raw_sales.csv?rlkey=lfdr9th7csw7ru42mtaw00hx1&dl=0"
       ],
       "metadata": {
         "id": "msbHcP_xJpFV"
       },
-      "execution_count": 6,
+      "execution_count": 23,
       "outputs": []
     },
     {
@@ -530,7 +513,7 @@
       "source": [
         "cursor.query(\"\"\"\n",
         "  USE postgres_data {\n",
-        "    CREATE TABLE IF NOT EXISTS home_sales (saledate VARCHAR(64), MA INT, type VARCHAR(64), bedrooms INT)\n",
+        "    CREATE TABLE IF NOT EXISTS home_sales (datesold VARCHAR(64), postcode INT, price INT, propertyType VARCHAR(64), bedrooms INT)\n",
         "  }\n",
         "\"\"\").df()"
       ],
@@ -540,9 +523,9 @@
           "height": 81
         },
         "id": "MhYfovbzNB-k",
-        "outputId": "ee87f25a-a6a6-4459-e808-8031ee356a27"
+        "outputId": "240995b6-2bba-4e34-e955-5ba9c4f1a171"
       },
-      "execution_count": 7,
+      "execution_count": 21,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -553,7 +536,7 @@
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-0b36c931-ccc1-4225-a5cc-5681f70b3643\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-2f4467d1-bc66-4eb4-a385-4c27587b0c81\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -586,7 +569,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0b36c931-ccc1-4225-a5cc-5681f70b3643')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2f4467d1-bc66-4eb4-a385-4c27587b0c81')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -638,12 +621,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-0b36c931-ccc1-4225-a5cc-5681f70b3643 button.colab-df-convert');\n",
+              "        document.querySelector('#df-2f4467d1-bc66-4eb4-a385-4c27587b0c81 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-0b36c931-ccc1-4225-a5cc-5681f70b3643');\n",
+              "        const element = document.querySelector('#df-2f4467d1-bc66-4eb4-a385-4c27587b0c81');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -667,7 +650,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 7
+          "execution_count": 21
         }
       ]
     },
@@ -676,7 +659,7 @@
       "source": [
         "cursor.query(\"\"\"\n",
         "  USE postgres_data {\n",
-        "    COPY home_sales(saledate, MA, type, bedrooms)\n",
+        "    COPY home_sales(datesold, postcode, price, propertyType, bedrooms)\n",
         "    FROM '/content/home_sales.csv'\n",
         "    DELIMITER ',' CSV HEADER\n",
         "  }\n",
@@ -688,9 +671,9 @@
           "height": 81
         },
         "id": "OH8Fxn0SNYO3",
-        "outputId": "1473db0e-2e2c-462b-c46a-85a425012545"
+        "outputId": "b0cbe3ac-f64a-454d-b39c-60735621c2df"
       },
-      "execution_count": 8,
+      "execution_count": 24,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -701,7 +684,7 @@
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-20324510-2173-4e9a-bb6e-edd94db55135\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-5d8d200d-836d-40f6-9ae0-f48178dd0cd2\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -734,7 +717,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-20324510-2173-4e9a-bb6e-edd94db55135')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5d8d200d-836d-40f6-9ae0-f48178dd0cd2')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -786,12 +769,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-20324510-2173-4e9a-bb6e-edd94db55135 button.colab-df-convert');\n",
+              "        document.querySelector('#df-5d8d200d-836d-40f6-9ae0-f48178dd0cd2 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-20324510-2173-4e9a-bb6e-edd94db55135');\n",
+              "        const element = document.querySelector('#df-5d8d200d-836d-40f6-9ae0-f48178dd0cd2');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -815,7 +798,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 8
+          "execution_count": 24
         }
       ]
     },
@@ -824,10 +807,11 @@
       "source": [
         "### Preview the Data\n",
         "The `home_sales` table contains 4 columns.\n",
-        "- saledate: the date that home was sold\n",
-        "- ma: moving average of the historical median price of the home\n",
-        "- type: whether the home is house or unit\n",
-        "- bedrooms: number of bedrooms"
+        "- postcode: 4 digit postcode of the suburb where the property was sold\n",
+        "- price: Price for which the property was sold\n",
+        "- bedrooms: Number of bedrooms\n",
+        "- datesold: Date on which this property was sold\n",
+        "- propertytype: Property type i.e. house or unit"
       ],
       "metadata": {
         "id": "vKXHBLtxNsbg"
@@ -844,22 +828,27 @@
           "height": 143
         },
         "id": "20_IEby7N1Pe",
-        "outputId": "979ac973-b746-4b2c-b28f-c9672f4f4b8f"
+        "outputId": "26159fd4-cbaf-4892-8e3f-53fa8124340c"
       },
-      "execution_count": 9,
+      "execution_count": 25,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "   home_sales.ma  home_sales.bedrooms home_sales.saledate home_sales.type\n",
-              "0         441854                    2          30/09/2007           house\n",
-              "1         441854                    2          31/12/2007           house\n",
-              "2         441854                    2          31/03/2008           house"
+              "   home_sales.postcode  home_sales.price  home_sales.bedrooms  \\\n",
+              "0                 2607            525000                    4   \n",
+              "1                 2906            290000                    3   \n",
+              "2                 2905            328000                    3   \n",
+              "\n",
+              "   home_sales.datesold home_sales.propertytype  \n",
+              "0  2007-02-07 00:00:00                   house  \n",
+              "1  2007-02-27 00:00:00                   house  \n",
+              "2  2007-03-07 00:00:00                   house  "
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-fcae13ec-c500-455b-99a5-6771a2060dbc\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-22a08351-a2b3-41a9-a13a-aa90d6cf32be\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -878,32 +867,36 @@
               "  <thead>\n",
               "    <tr style=\"text-align: right;\">\n",
               "      <th></th>\n",
-              "      <th>home_sales.ma</th>\n",
+              "      <th>home_sales.postcode</th>\n",
+              "      <th>home_sales.price</th>\n",
               "      <th>home_sales.bedrooms</th>\n",
-              "      <th>home_sales.saledate</th>\n",
-              "      <th>home_sales.type</th>\n",
+              "      <th>home_sales.datesold</th>\n",
+              "      <th>home_sales.propertytype</th>\n",
               "    </tr>\n",
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>441854</td>\n",
-              "      <td>2</td>\n",
-              "      <td>30/09/2007</td>\n",
+              "      <td>2607</td>\n",
+              "      <td>525000</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2007-02-07 00:00:00</td>\n",
               "      <td>house</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>441854</td>\n",
-              "      <td>2</td>\n",
-              "      <td>31/12/2007</td>\n",
+              "      <td>2906</td>\n",
+              "      <td>290000</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2007-02-27 00:00:00</td>\n",
               "      <td>house</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>441854</td>\n",
-              "      <td>2</td>\n",
-              "      <td>31/03/2008</td>\n",
+              "      <td>2905</td>\n",
+              "      <td>328000</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2007-03-07 00:00:00</td>\n",
               "      <td>house</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
@@ -912,7 +905,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fcae13ec-c500-455b-99a5-6771a2060dbc')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-22a08351-a2b3-41a9-a13a-aa90d6cf32be')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -964,12 +957,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-fcae13ec-c500-455b-99a5-6771a2060dbc button.colab-df-convert');\n",
+              "        document.querySelector('#df-22a08351-a2b3-41a9-a13a-aa90d6cf32be button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-fcae13ec-c500-455b-99a5-6771a2060dbc');\n",
+              "        const element = document.querySelector('#df-22a08351-a2b3-41a9-a13a-aa90d6cf32be');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -989,8 +982,8 @@
               "  </div>\n",
               "\n",
               "\n",
-              "<div id=\"df-09e849bc-61d8-462d-be7f-033ecadfaa89\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-09e849bc-61d8-462d-be7f-033ecadfaa89')\"\n",
+              "<div id=\"df-6d00b11c-1029-45d1-b8f4-646f93dc22c9\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6d00b11c-1029-45d1-b8f4-646f93dc22c9')\"\n",
               "            title=\"Suggest charts.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -1109,7 +1102,7 @@
               "    }\n",
               "    (() => {\n",
               "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-09e849bc-61d8-462d-be7f-033ecadfaa89 button');\n",
+              "        document.querySelector('#df-6d00b11c-1029-45d1-b8f4-646f93dc22c9 button');\n",
               "      quickchartButtonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "    })();\n",
@@ -1120,17 +1113,10 @@
             ]
           },
           "metadata": {},
-          "execution_count": 9
+          "execution_count": 25
         }
       ]
     },
-    {
-      "cell_type": "markdown",
-      "source": [],
-      "metadata": {
-        "id": "TPpLZnydO2Ti"
-      }
-    },
     {
       "cell_type": "markdown",
       "source": [
@@ -1155,18 +1141,19 @@
     {
       "cell_type": "code",
       "source": [
+        "cursor.query(\"DROP FUNCTION IF EXISTS HomeSaleForecast;\").df()\n",
         "cursor.query(\"\"\"\n",
         "  CREATE FUNCTION IF NOT EXISTS HomeSaleForecast FROM\n",
         "    (\n",
-        "      SELECT type, saledate, ma\n",
+        "      SELECT propertytype, datesold, price\n",
         "      FROM postgres_data.home_sales\n",
-        "      WHERE bedrooms = 2\n",
+        "      WHERE bedrooms = 3 AND postcode = 2607\n",
         "    )\n",
         "  TYPE Forecasting\n",
-        "  PREDICT 'ma'\n",
-        "  TIME 'saledate'\n",
-        "  ID 'type'\n",
-        "  FREQUENCY 'M';\n",
+        "  PREDICT 'price'\n",
+        "  TIME 'datesold'\n",
+        "  ID 'propertytype'\n",
+        "  FREQUENCY 'W'\n",
         "\"\"\").df()"
       ],
       "metadata": {
@@ -1175,9 +1162,9 @@
           "height": 81
         },
         "id": "IFstPBI8UINv",
-        "outputId": "1499f130-ce52-44ec-d398-5dddc3f5d3b6"
+        "outputId": "c5dcb3b1-47de-4a05-a41e-5a28e69abf80"
       },
-      "execution_count": 10,
+      "execution_count": 39,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1188,7 +1175,7 @@
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-b6d0a15a-7769-4923-a238-601083cb2845\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-60463c36-95ec-4d4e-b0a7-c3f86042b8fd\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -1221,7 +1208,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b6d0a15a-7769-4923-a238-601083cb2845')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-60463c36-95ec-4d4e-b0a7-c3f86042b8fd')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -1273,12 +1260,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-b6d0a15a-7769-4923-a238-601083cb2845 button.colab-df-convert');\n",
+              "        document.querySelector('#df-60463c36-95ec-4d4e-b0a7-c3f86042b8fd button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-b6d0a15a-7769-4923-a238-601083cb2845');\n",
+              "        const element = document.querySelector('#df-60463c36-95ec-4d4e-b0a7-c3f86042b8fd');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -1302,7 +1289,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 10
+          "execution_count": 39
         }
       ]
     },
@@ -1327,25 +1314,33 @@
           "height": 238
         },
         "id": "_7m-QQG5U3_C",
-        "outputId": "86383f52-ea94-47aa-847c-363bc65b5d56"
+        "outputId": "dba1c727-bf6d-4301-aaaf-0db3b5ebffd0"
       },
-      "execution_count": 11,
+      "execution_count": 40,
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
             "text/plain": [
-              "  homesaleforecast.type homesaleforecast.saledate  homesaleforecast.ma\n",
-              "0                 house                2019-10-31         510712.00000\n",
-              "1                 house                2019-11-30         510712.00000\n",
-              "2                 house                2019-12-31         510712.00000\n",
-              "3                  unit                2019-10-31         423431.37500\n",
-              "4                  unit                2019-11-30         422450.78125\n",
-              "5                  unit                2019-12-31         421470.15625"
+              "  homesaleforecast.propertytype homesaleforecast.datesold  \\\n",
+              "0                         house                2019-07-21   \n",
+              "1                         house                2019-07-28   \n",
+              "2                         house                2019-08-04   \n",
+              "3                          unit                2018-12-23   \n",
+              "4                          unit                2018-12-30   \n",
+              "5                          unit                2019-01-06   \n",
+              "\n",
+              "   homesaleforecast.price  \n",
+              "0            766572.93750  \n",
+              "1            766572.93750  \n",
+              "2            766572.93750  \n",
+              "3            417229.78125  \n",
+              "4            409601.65625  \n",
+              "5            402112.96875  "
             ],
             "text/html": [
               "\n",
-              "  <div id=\"df-ece70f18-7c0a-4f77-89d7-b8b4fb4cbe73\" class=\"colab-df-container\">\n",
+              "  <div id=\"df-73cc57a4-60e1-49bb-8415-4f9c15ea8fe4\" class=\"colab-df-container\">\n",
               "    <div>\n",
               "<style scoped>\n",
               "    .dataframe tbody tr th:only-of-type {\n",
@@ -1364,47 +1359,47 @@
               "  <thead>\n",
               "    <tr style=\"text-align: right;\">\n",
               "      <th></th>\n",
-              "      <th>homesaleforecast.type</th>\n",
-              "      <th>homesaleforecast.saledate</th>\n",
-              "      <th>homesaleforecast.ma</th>\n",
+              "      <th>homesaleforecast.propertytype</th>\n",
+              "      <th>homesaleforecast.datesold</th>\n",
+              "      <th>homesaleforecast.price</th>\n",
               "    </tr>\n",
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
               "      <td>house</td>\n",
-              "      <td>2019-10-31</td>\n",
-              "      <td>510712.00000</td>\n",
+              "      <td>2019-07-21</td>\n",
+              "      <td>766572.93750</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
               "      <td>house</td>\n",
-              "      <td>2019-11-30</td>\n",
-              "      <td>510712.00000</td>\n",
+              "      <td>2019-07-28</td>\n",
+              "      <td>766572.93750</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
               "      <td>house</td>\n",
-              "      <td>2019-12-31</td>\n",
-              "      <td>510712.00000</td>\n",
+              "      <td>2019-08-04</td>\n",
+              "      <td>766572.93750</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
               "      <td>unit</td>\n",
-              "      <td>2019-10-31</td>\n",
-              "      <td>423431.37500</td>\n",
+              "      <td>2018-12-23</td>\n",
+              "      <td>417229.78125</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
               "      <td>unit</td>\n",
-              "      <td>2019-11-30</td>\n",
-              "      <td>422450.78125</td>\n",
+              "      <td>2018-12-30</td>\n",
+              "      <td>409601.65625</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>5</th>\n",
               "      <td>unit</td>\n",
-              "      <td>2019-12-31</td>\n",
-              "      <td>421470.15625</td>\n",
+              "      <td>2019-01-06</td>\n",
+              "      <td>402112.96875</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
@@ -1412,7 +1407,7 @@
               "    <div class=\"colab-df-buttons\">\n",
               "\n",
               "  <div class=\"colab-df-container\">\n",
-              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ece70f18-7c0a-4f77-89d7-b8b4fb4cbe73')\"\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-73cc57a4-60e1-49bb-8415-4f9c15ea8fe4')\"\n",
               "            title=\"Convert this dataframe to an interactive table.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -1464,12 +1459,12 @@
               "\n",
               "    <script>\n",
               "      const buttonEl =\n",
-              "        document.querySelector('#df-ece70f18-7c0a-4f77-89d7-b8b4fb4cbe73 button.colab-df-convert');\n",
+              "        document.querySelector('#df-73cc57a4-60e1-49bb-8415-4f9c15ea8fe4 button.colab-df-convert');\n",
               "      buttonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "\n",
               "      async function convertToInteractive(key) {\n",
-              "        const element = document.querySelector('#df-ece70f18-7c0a-4f77-89d7-b8b4fb4cbe73');\n",
+              "        const element = document.querySelector('#df-73cc57a4-60e1-49bb-8415-4f9c15ea8fe4');\n",
               "        const dataTable =\n",
               "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
               "                                                    [key], {});\n",
@@ -1489,8 +1484,8 @@
               "  </div>\n",
               "\n",
               "\n",
-              "<div id=\"df-88c4f64a-0fc3-44dd-848a-2d752312d0c5\">\n",
-              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-88c4f64a-0fc3-44dd-848a-2d752312d0c5')\"\n",
+              "<div id=\"df-5dd181c2-a44d-4d15-88ce-fe36e7eedba4\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5dd181c2-a44d-4d15-88ce-fe36e7eedba4')\"\n",
               "            title=\"Suggest charts.\"\n",
               "            style=\"display:none;\">\n",
               "\n",
@@ -1609,7 +1604,7 @@
               "    }\n",
               "    (() => {\n",
               "      let quickchartButtonEl =\n",
-              "        document.querySelector('#df-88c4f64a-0fc3-44dd-848a-2d752312d0c5 button');\n",
+              "        document.querySelector('#df-5dd181c2-a44d-4d15-88ce-fe36e7eedba4 button');\n",
               "      quickchartButtonEl.style.display =\n",
               "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
               "    })();\n",
@@ -1620,7 +1615,7 @@
             ]
           },
           "metadata": {},
-          "execution_count": 11
+          "execution_count": 40
         }
       ]
     },
@@ -1636,45 +1631,308 @@
     {
       "cell_type": "code",
       "source": [
-        "cursor.query(\"SELECT HomeSaleForecast(3) ORDER BY ma;\").df()"
+        "cursor.query(\"SELECT * FROM (SELECT HomeSaleForecast(3)) AS T ORDER BY price;\").df()"
       ],
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 355
+          "height": 238
         },
         "id": "abmrZiOzVO5S",
-        "outputId": "14324529-618b-4158-9930-cf47b01e2196"
+        "outputId": "a09186b9-fa89-4763-9c21-e82224ea33a1"
       },
-      "execution_count": 15,
+      "execution_count": 42,
       "outputs": [
         {
-          "output_type": "stream",
-          "name": "stderr",
-          "text": [
-            "09-14-2023 06:17:03 ERROR [statement_binder_context:statement_binder_context.py:raise_error:0147] Found invalid column ma\n",
-            "ERROR:evadb.utils.logging_manager:Found invalid column ma\n"
-          ]
-        },
-        {
-          "output_type": "error",
-          "ename": "BinderError",
-          "evalue": "ignored",
-          "traceback": [
-            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-            "\u001b[0;31mBinderError\u001b[0m                               Traceback (most recent call last)",
-            "\u001b[0;32m<ipython-input-15-b8688bcf0d02>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcursor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"SELECT HomeSaleForecast(3).ma ORDER BY MA;\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/interfaces/relational/relation.py\u001b[0m in \u001b[0;36mdf\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    108\u001b[0m             \u001b[0mpandas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m         \"\"\"\n\u001b[0;32m--> 110\u001b[0;31m         \u001b[0mbatch\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    111\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mbatch\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"relation execute failed\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mframes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/interfaces/relational/relation.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    118\u001b[0m             \u001b[0mBatch\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mevadb\u001b[0m \u001b[0mBatch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    119\u001b[0m         \"\"\"\n\u001b[0;32m--> 120\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexecute_statement\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_evadb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_query_node\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    121\u001b[0m         \u001b[0;32massert\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mframes\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    122\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/server/command_handler.py\u001b[0m in \u001b[0;36mexecute_statement\u001b[0;34m(evadb, stmt, do_not_raise_exceptions, do_not_print_exceptions, **kwargs)\u001b[0m\n\u001b[1;32m     42\u001b[0m     \u001b[0mplan_generator\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"plan_generator\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPlanGenerator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevadb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstmt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mSKIP_BINDER_AND_OPTIMIZER_STATEMENTS\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 44\u001b[0;31m         \u001b[0mStatementBinder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mStatementBinderContext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mevadb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcatalog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstmt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     45\u001b[0m         \u001b[0mlogical_plan\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mStatementToPlanConverter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvisit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstmt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     46\u001b[0m         \u001b[0mphysical_plan\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplan_generator\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuild\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlogical_plan\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/lib/python3.10/functools.py\u001b[0m in \u001b[0;36m_method\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    924\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0m_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    925\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatcher\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 926\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__get__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    927\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    928\u001b[0m         \u001b[0m_method\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isabstractmethod__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isabstractmethod__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/binder/statement_binder.py\u001b[0m in \u001b[0;36m_bind_select_statement\u001b[0;34m(self, node)\u001b[0m\n\u001b[1;32m    206\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morderby_list\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    207\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mexpr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morderby_list\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 208\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    209\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munion_link\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    210\u001b[0m             \u001b[0mcurrent_context\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_binder_context\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/lib/python3.10/functools.py\u001b[0m in \u001b[0;36m_method\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    924\u001b[0m         \u001b[0;32mdef\u001b[0m \u001b[0m_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    925\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatcher\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 926\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__get__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    927\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    928\u001b[0m         \u001b[0m_method\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isabstractmethod__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__isabstractmethod__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/binder/statement_binder.py\u001b[0m in \u001b[0;36m_bind_tuple_expr\u001b[0;34m(self, node)\u001b[0m\n\u001b[1;32m    294\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mbind\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregister\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mTupleValueExpression\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_bind_tuple_expr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTupleValueExpression\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m         table_alias, col_obj = self._binder_context.get_binded_column(\n\u001b[0m\u001b[1;32m    297\u001b[0m             \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnode\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtable_alias\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m         )\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/binder/statement_binder_context.py\u001b[0m in \u001b[0;36mget_binded_column\u001b[0;34m(self, col_name, alias)\u001b[0m\n\u001b[1;32m    159\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0malias\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcol_obj\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 161\u001b[0;31m         \u001b[0mraise_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_check_table_alias_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malias\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcol_name\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mColumnCatalogEntry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/evadb/binder/statement_binder_context.py\u001b[0m in \u001b[0;36mraise_error\u001b[0;34m()\u001b[0m\n\u001b[1;32m    146\u001b[0m             \u001b[0merr_msg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"Found invalid column {col_name}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m             \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merr_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 148\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mBinderError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merr_msg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    149\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0malias\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-            "\u001b[0;31mBinderError\u001b[0m: Found invalid column ma"
-          ]
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "  T.propertytype T.datesold       T.price\n",
+              "0           unit 2019-01-06  402112.96875\n",
+              "1           unit 2018-12-30  409601.65625\n",
+              "2           unit 2018-12-23  417229.78125\n",
+              "3          house 2019-07-21  766572.93750\n",
+              "4          house 2019-07-28  766572.93750\n",
+              "5          house 2019-08-04  766572.93750"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-9d1a88a6-c6d9-454b-b030-43bccab80120\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>T.propertytype</th>\n",
+              "      <th>T.datesold</th>\n",
+              "      <th>T.price</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>unit</td>\n",
+              "      <td>2019-01-06</td>\n",
+              "      <td>402112.96875</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>unit</td>\n",
+              "      <td>2018-12-30</td>\n",
+              "      <td>409601.65625</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>unit</td>\n",
+              "      <td>2018-12-23</td>\n",
+              "      <td>417229.78125</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>house</td>\n",
+              "      <td>2019-07-21</td>\n",
+              "      <td>766572.93750</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>house</td>\n",
+              "      <td>2019-07-28</td>\n",
+              "      <td>766572.93750</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>house</td>\n",
+              "      <td>2019-08-04</td>\n",
+              "      <td>766572.93750</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9d1a88a6-c6d9-454b-b030-43bccab80120')\"\n",
+              "            title=\"Convert this dataframe to an interactive table.\"\n",
+              "            style=\"display:none;\">\n",
+              "\n",
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+              "  </svg>\n",
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+              "  <style>\n",
+              "    .colab-df-container {\n",
+              "      display:flex;\n",
+              "      gap: 12px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert {\n",
+              "      background-color: #E8F0FE;\n",
+              "      border: none;\n",
+              "      border-radius: 50%;\n",
+              "      cursor: pointer;\n",
+              "      display: none;\n",
+              "      fill: #1967D2;\n",
+              "      height: 32px;\n",
+              "      padding: 0 0 0 0;\n",
+              "      width: 32px;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-convert:hover {\n",
+              "      background-color: #E2EBFA;\n",
+              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert {\n",
+              "      background-color: #3B4455;\n",
+              "      fill: #D2E3FC;\n",
+              "    }\n",
+              "\n",
+              "    [theme=dark] .colab-df-convert:hover {\n",
+              "      background-color: #434B5C;\n",
+              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
+              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
+              "      fill: #FFFFFF;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "    <script>\n",
+              "      const buttonEl =\n",
+              "        document.querySelector('#df-9d1a88a6-c6d9-454b-b030-43bccab80120 button.colab-df-convert');\n",
+              "      buttonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "\n",
+              "      async function convertToInteractive(key) {\n",
+              "        const element = document.querySelector('#df-9d1a88a6-c6d9-454b-b030-43bccab80120');\n",
+              "        const dataTable =\n",
+              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                    [key], {});\n",
+              "        if (!dataTable) return;\n",
+              "\n",
+              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
+              "          + ' to learn more about interactive tables.';\n",
+              "        element.innerHTML = '';\n",
+              "        dataTable['output_type'] = 'display_data';\n",
+              "        await google.colab.output.renderOutput(dataTable, element);\n",
+              "        const docLink = document.createElement('div');\n",
+              "        docLink.innerHTML = docLinkHtml;\n",
+              "        element.appendChild(docLink);\n",
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+              "  </div>\n",
+              "\n",
+              "\n",
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+              "\n",
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+              "     width=\"24px\">\n",
+              "    <g>\n",
+              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
+              "    </g>\n",
+              "</svg>\n",
+              "  </button>\n",
+              "\n",
+              "<style>\n",
+              "  .colab-df-quickchart {\n",
+              "      --bg-color: #E8F0FE;\n",
+              "      --fill-color: #1967D2;\n",
+              "      --hover-bg-color: #E2EBFA;\n",
+              "      --hover-fill-color: #174EA6;\n",
+              "      --disabled-fill-color: #AAA;\n",
+              "      --disabled-bg-color: #DDD;\n",
+              "  }\n",
+              "\n",
+              "  [theme=dark] .colab-df-quickchart {\n",
+              "      --bg-color: #3B4455;\n",
+              "      --fill-color: #D2E3FC;\n",
+              "      --hover-bg-color: #434B5C;\n",
+              "      --hover-fill-color: #FFFFFF;\n",
+              "      --disabled-bg-color: #3B4455;\n",
+              "      --disabled-fill-color: #666;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart {\n",
+              "    background-color: var(--bg-color);\n",
+              "    border: none;\n",
+              "    border-radius: 50%;\n",
+              "    cursor: pointer;\n",
+              "    display: none;\n",
+              "    fill: var(--fill-color);\n",
+              "    height: 32px;\n",
+              "    padding: 0;\n",
+              "    width: 32px;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart:hover {\n",
+              "    background-color: var(--hover-bg-color);\n",
+              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
+              "    fill: var(--button-hover-fill-color);\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-quickchart-complete:disabled,\n",
+              "  .colab-df-quickchart-complete:disabled:hover {\n",
+              "    background-color: var(--disabled-bg-color);\n",
+              "    fill: var(--disabled-fill-color);\n",
+              "    box-shadow: none;\n",
+              "  }\n",
+              "\n",
+              "  .colab-df-spinner {\n",
+              "    border: 2px solid var(--fill-color);\n",
+              "    border-color: transparent;\n",
+              "    border-bottom-color: var(--fill-color);\n",
+              "    animation:\n",
+              "      spin 1s steps(1) infinite;\n",
+              "  }\n",
+              "\n",
+              "  @keyframes spin {\n",
+              "    0% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "      border-left-color: var(--fill-color);\n",
+              "    }\n",
+              "    20% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    30% {\n",
+              "      border-color: transparent;\n",
+              "      border-left-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    40% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-top-color: var(--fill-color);\n",
+              "    }\n",
+              "    60% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "    }\n",
+              "    80% {\n",
+              "      border-color: transparent;\n",
+              "      border-right-color: var(--fill-color);\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "    90% {\n",
+              "      border-color: transparent;\n",
+              "      border-bottom-color: var(--fill-color);\n",
+              "    }\n",
+              "  }\n",
+              "</style>\n",
+              "\n",
+              "  <script>\n",
+              "    async function quickchart(key) {\n",
+              "      const quickchartButtonEl =\n",
+              "        document.querySelector('#' + key + ' button');\n",
+              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
+              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
+              "      try {\n",
+              "        const charts = await google.colab.kernel.invokeFunction(\n",
+              "            'suggestCharts', [key], {});\n",
+              "      } catch (error) {\n",
+              "        console.error('Error during call to suggestCharts:', error);\n",
+              "      }\n",
+              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
+              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
+              "    }\n",
+              "    (() => {\n",
+              "      let quickchartButtonEl =\n",
+              "        document.querySelector('#df-db5d2477-0c07-43e8-b2ad-0d5b076494ce button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "    </div>\n",
+              "  </div>\n"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 42
         }
       ]
     }