r_demo.ipynb

{"cells":[{"attachments":{},"cell_type":"markdown","id":"4e878f3f-ddc0-495e-9aef-d8fba4564a42","metadata":{"language":"python"},"source":"<img src = \"https://github.com/singlestore-labs/spaces-notebooks/blob/e551e274bb67bb1e5081131ee1150cdba713fc43/common/images/singlestore-jupyter.png?raw=true\">"},{"attachments":{},"cell_type":"markdown","id":"5e34d11b-96f9-4919-9047-b621f99d4c89","metadata":{"language":"python"},"source":"<div id=\"singlestore-header\" style=\"display: flex; background-color: rgba(235, 249, 245, 0.25); padding: 5px;\">\n    <div id=\"icon-image\" style=\"width: 90px; height: 90px;\">\n        <img width=\"100%\" height=\"100%\" src=\"https://raw.githubusercontent.com/singlestore-labs/spaces-notebooks/master/common/images/header-icons/browser.png\" />\n    </div>\n    <div id=\"text\" style=\"padding: 5px; margin-left: 10px;\">\n        <div id=\"badge\" style=\"display: inline-block; background-color: rgba(0, 0, 0, 0.15); border-radius: 4px; padding: 4px 8px; align-items: center; margin-top: 6px; margin-bottom: -2px; font-size: 80%\">SingleStore Notebooks</div>\n        <h1 style=\"font-weight: 500; margin: 8px 0 0 4px;\">Using R with SingleStore Notebooks</h1>\n    </div>\n</div>"},{"cell_type":"code","execution_count":4,"id":"4efdbe6e-ec75-430f-915f-911c69ab24ce","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:05.244048Z","iopub.status.busy":"2024-04-06T15:00:05.243656Z","iopub.status.idle":"2024-04-06T15:00:33.587738Z","shell.execute_reply":"2024-04-06T15:00:33.587193Z","shell.execute_reply.started":"2024-04-06T15:00:05.244031Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"Collecting package metadata (current_repodata.json): ...working... done\nSolving environment: ...working... done\n\n# All requested packages already installed.\n\n"}],"source":"!conda install -y --quiet -c conda-forge r-irkernel r-rjava r-rjdbc r-ggplot2"},{"cell_type":"markdown","id":"7feb8ec0-1d45-4c25-a2d7-7951ae17a70e","metadata":{"language":"python"},"source":"<div class=\"alert alert-block alert-warning\">\n    <b class=\"fa fa-solid fa-exclamation-circle\"></b>\n    <div>\n        <p><b>Action Required</b></p>\n        <p>Switch the kernel from Python to R before running the code below.</p>\n    </div>\n</div>"},{"cell_type":"code","execution_count":2,"id":"65cacf2a-4a0a-426e-8123-4c9799f97be3","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:50.039292Z","iopub.status.busy":"2024-04-06T15:00:50.016600Z","iopub.status.idle":"2024-04-06T15:00:50.286774Z","shell.execute_reply":"2024-04-06T15:00:50.285611Z"},"language":"python","trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":"Loading required package: DBI\n\nLoading required package: rJava\n\n"}],"source":"library(RJDBC)"},{"cell_type":"code","execution_count":3,"id":"eb795ec3-eccd-476e-8bb0-24100e48f9ef","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:50.289426Z","iopub.status.busy":"2024-04-06T15:00:50.288373Z","iopub.status.idle":"2024-04-06T15:00:50.308529Z","shell.execute_reply":"2024-04-06T15:00:50.307425Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"[1] \"Driver file downloaded successfully\"\n"}],"source":"# URL of the JDBC driver file\ndriver_url <- \"https://repo1.maven.org/maven2/com/singlestore/singlestore-jdbc-client/1.2.1/singlestore-jdbc-client-1.2.1.jar\"\n\n# Set the JDBC driver class name\ndriver <- \"com.singlestore.jdbc.Driver\"\n\n# Local directory to save the driver file\nlocal_dir <- \"jars\"\ndir.create(local_dir, showWarnings = FALSE, recursive = TRUE)\n\n# Check if the driver file already exists\ndriver_file <- file.path(\n    local_dir,\n    \"singlestore-jdbc-client-1.2.1.jar\"\n)\n\nif (!file.exists(driver_file)) {\n    # Download the JDBC driver file if it doesn't exist\n    download.file(\n        driver_url,\n        destfile = driver_file,\n        mode = \"wb\",\n        quiet = TRUE\n    )\n}\n\n# Check if the driver file has been downloaded successfully\nif (file.exists(driver_file)) {\n    print(\"Driver file downloaded successfully\")\n} else {\n    print(\"Failed to download the driver file\")\n}"},{"cell_type":"code","execution_count":4,"id":"8cf8ffb6-e27e-41e9-9aef-c2a31ad135da","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:50.310824Z","iopub.status.busy":"2024-04-06T15:00:50.310017Z","iopub.status.idle":"2024-04-06T15:00:50.322286Z","shell.execute_reply":"2024-04-06T15:00:50.321238Z"},"language":"python","trusted":true},"outputs":[],"source":"host <- \"<HOST>\"\nport <- 3306\ndatabase <- \"iris_db\"\nuser <- \"admin\"\npassword <- \"<PASSWORD>\"\n\nurl <- paste0(\"jdbc:singlestore://\", host, \":\", port, \"/\", database)"},{"cell_type":"code","execution_count":5,"id":"1a803301-7a31-46c8-8eca-6a5de589f8c1","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:50.324676Z","iopub.status.busy":"2024-04-06T15:00:50.323836Z","iopub.status.idle":"2024-04-06T15:00:50.346372Z","shell.execute_reply":"2024-04-06T15:00:50.345277Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/html":"<table class=\"dataframe\">\n<caption>A data.frame: 6 × 5</caption>\n<thead>\n\t<tr><th></th><th scope=col>Sepal_Length</th><th scope=col>Sepal_Width</th><th scope=col>Petal_Length</th><th scope=col>Petal_Width</th><th scope=col>Species</th></tr>\n\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><th scope=row>1</th><td>5.1</td><td>3.5</td><td>1.4</td><td>0.2</td><td>setosa</td></tr>\n\t<tr><th scope=row>2</th><td>4.9</td><td>3.0</td><td>1.4</td><td>0.2</td><td>setosa</td></tr>\n\t<tr><th scope=row>3</th><td>4.7</td><td>3.2</td><td>1.3</td><td>0.2</td><td>setosa</td></tr>\n\t<tr><th scope=row>4</th><td>4.6</td><td>3.1</td><td>1.5</td><td>0.2</td><td>setosa</td></tr>\n\t<tr><th scope=row>5</th><td>5.0</td><td>3.6</td><td>1.4</td><td>0.2</td><td>setosa</td></tr>\n\t<tr><th scope=row>6</th><td>5.4</td><td>3.9</td><td>1.7</td><td>0.4</td><td>setosa</td></tr>\n</tbody>\n</table>\n","text/latex":"A data.frame: 6 × 5\n\\begin{tabular}{r|lllll}\n  & Sepal\\_Length & Sepal\\_Width & Petal\\_Length & Petal\\_Width & Species\\\\\n  & <dbl> & <dbl> & <dbl> & <dbl> & <fct>\\\\\n\\hline\n\t1 & 5.1 & 3.5 & 1.4 & 0.2 & setosa\\\\\n\t2 & 4.9 & 3.0 & 1.4 & 0.2 & setosa\\\\\n\t3 & 4.7 & 3.2 & 1.3 & 0.2 & setosa\\\\\n\t4 & 4.6 & 3.1 & 1.5 & 0.2 & setosa\\\\\n\t5 & 5.0 & 3.6 & 1.4 & 0.2 & setosa\\\\\n\t6 & 5.4 & 3.9 & 1.7 & 0.4 & setosa\\\\\n\\end{tabular}\n","text/markdown":"\nA data.frame: 6 × 5\n\n| <!--/--> | Sepal_Length &lt;dbl&gt; | Sepal_Width &lt;dbl&gt; | Petal_Length &lt;dbl&gt; | Petal_Width &lt;dbl&gt; | Species &lt;fct&gt; |\n|---|---|---|---|---|---|\n| 1 | 5.1 | 3.5 | 1.4 | 0.2 | setosa |\n| 2 | 4.9 | 3.0 | 1.4 | 0.2 | setosa |\n| 3 | 4.7 | 3.2 | 1.3 | 0.2 | setosa |\n| 4 | 4.6 | 3.1 | 1.5 | 0.2 | setosa |\n| 5 | 5.0 | 3.6 | 1.4 | 0.2 | setosa |\n| 6 | 5.4 | 3.9 | 1.7 | 0.4 | setosa |\n\n","text/plain":"  Sepal_Length Sepal_Width Petal_Length Petal_Width Species\n1 5.1          3.5         1.4          0.2         setosa \n2 4.9          3.0         1.4          0.2         setosa \n3 4.7          3.2         1.3          0.2         setosa \n4 4.6          3.1         1.5          0.2         setosa \n5 5.0          3.6         1.4          0.2         setosa \n6 5.4          3.9         1.7          0.4         setosa "},"metadata":{},"output_type":"display_data"}],"source":"# Load the iris dataset\ndata(iris)\n\n# Replace \".\" with \"_\" in column names\ncolnames(iris) <- gsub(\"\\\\.\", \"_\", colnames(iris))\n\n# Print the first few rows of the dataset\nhead(iris)"},{"cell_type":"code","execution_count":6,"id":"e176b14a-0f6e-42e7-b6bd-30d33d2b5f8e","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:50.348758Z","iopub.status.busy":"2024-04-06T15:00:50.347925Z","iopub.status.idle":"2024-04-06T15:00:51.858632Z","shell.execute_reply":"2024-04-06T15:00:51.857512Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/html":"<table class=\"dataframe\">\n<caption>A data.frame: 6 × 5</caption>\n<thead>\n\t<tr><th></th><th scope=col>Sepal_Length</th><th scope=col>Sepal_Width</th><th scope=col>Petal_Length</th><th scope=col>Petal_Width</th><th scope=col>Species</th></tr>\n\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><th scope=row>1</th><td>6.1</td><td>3.0</td><td>4.6</td><td>1.4</td><td>versicolor</td></tr>\n\t<tr><th scope=row>2</th><td>5.7</td><td>2.8</td><td>4.1</td><td>1.3</td><td>versicolor</td></tr>\n\t<tr><th scope=row>3</th><td>4.4</td><td>3.0</td><td>1.3</td><td>0.2</td><td>setosa    </td></tr>\n\t<tr><th scope=row>4</th><td>5.7</td><td>4.4</td><td>1.5</td><td>0.4</td><td>setosa    </td></tr>\n\t<tr><th scope=row>5</th><td>6.4</td><td>2.8</td><td>5.6</td><td>2.2</td><td>virginica </td></tr>\n\t<tr><th scope=row>6</th><td>6.0</td><td>3.0</td><td>4.8</td><td>1.8</td><td>virginica </td></tr>\n</tbody>\n</table>\n","text/latex":"A data.frame: 6 × 5\n\\begin{tabular}{r|lllll}\n  & Sepal\\_Length & Sepal\\_Width & Petal\\_Length & Petal\\_Width & Species\\\\\n  & <dbl> & <dbl> & <dbl> & <dbl> & <chr>\\\\\n\\hline\n\t1 & 6.1 & 3.0 & 4.6 & 1.4 & versicolor\\\\\n\t2 & 5.7 & 2.8 & 4.1 & 1.3 & versicolor\\\\\n\t3 & 4.4 & 3.0 & 1.3 & 0.2 & setosa    \\\\\n\t4 & 5.7 & 4.4 & 1.5 & 0.4 & setosa    \\\\\n\t5 & 6.4 & 2.8 & 5.6 & 2.2 & virginica \\\\\n\t6 & 6.0 & 3.0 & 4.8 & 1.8 & virginica \\\\\n\\end{tabular}\n","text/markdown":"\nA data.frame: 6 × 5\n\n| <!--/--> | Sepal_Length &lt;dbl&gt; | Sepal_Width &lt;dbl&gt; | Petal_Length &lt;dbl&gt; | Petal_Width &lt;dbl&gt; | Species &lt;chr&gt; |\n|---|---|---|---|---|---|\n| 1 | 6.1 | 3.0 | 4.6 | 1.4 | versicolor |\n| 2 | 5.7 | 2.8 | 4.1 | 1.3 | versicolor |\n| 3 | 4.4 | 3.0 | 1.3 | 0.2 | setosa     |\n| 4 | 5.7 | 4.4 | 1.5 | 0.4 | setosa     |\n| 5 | 6.4 | 2.8 | 5.6 | 2.2 | virginica  |\n| 6 | 6.0 | 3.0 | 4.8 | 1.8 | virginica  |\n\n","text/plain":"  Sepal_Length Sepal_Width Petal_Length Petal_Width Species   \n1 6.1          3.0         4.6          1.4         versicolor\n2 5.7          2.8         4.1          1.3         versicolor\n3 4.4          3.0         1.3          0.2         setosa    \n4 5.7          4.4         1.5          0.4         setosa    \n5 6.4          2.8         5.6          2.2         virginica \n6 6.0          3.0         4.8          1.8         virginica "},"metadata":{},"output_type":"display_data"},{"data":{"text/html":"TRUE","text/latex":"TRUE","text/markdown":"TRUE","text/plain":"[1] TRUE"},"metadata":{},"output_type":"display_data"}],"source":"# Establish the JDBC connection\nconn <- dbConnect(\n    drv = JDBC(driver, driver_file),\n    url = url,\n    user = user,\n    password = password\n)\n\n# Write the iris dataset to the database\ndbWriteTable(conn, \"iris\", iris, overwrite = TRUE)\n\n# Read the iris dataset from the database\niris_from_db <- dbReadTable(conn, \"iris\")\n\n# Print the first few rows of the dataset read from the database\nhead(iris_from_db)\n\n# Close the JDBC connection\ndbDisconnect(conn)"},{"cell_type":"code","execution_count":7,"id":"8c2c13a0-c90e-4753-8821-3d87eba27314","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:51.861089Z","iopub.status.busy":"2024-04-06T15:00:51.860236Z","iopub.status.idle":"2024-04-06T15:00:51.980042Z","shell.execute_reply":"2024-04-06T15:00:51.978800Z"},"language":"python","trusted":true},"outputs":[],"source":"library(ggplot2)"},{"cell_type":"code","execution_count":8,"id":"3bff1313-3782-4ebd-9980-5aa6d50e5f93","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:51.982462Z","iopub.status.busy":"2024-04-06T15:00:51.981616Z","iopub.status.idle":"2024-04-06T15:00:52.434103Z","shell.execute_reply":"2024-04-06T15:00:52.432941Z"},"language":"python","trusted":true},"outputs":[{"data":{"application/pdf":"JVBERi0xLjcKJbXtrvsKNCAwIG9iago8PCAvTGVuZ3RoIDUgMCBSCiAgIC9GaWx0ZXIgL0Zs\nYXRlRGVjb2RlCj4+CnN0cmVhbQp4nOVdy47lthHd36+4y+5FKyJFvbYDBAGMZGF7AC8ML4ye\nR2LM+A3n91MU65yiSnc8vrrCtNuB4Z4+p8UiRZHFqmJRCudW/nsI8qNv0/nx/emnUzjn/35+\ne/7bt+357S+nVv+Y///59fnNliglvvjHOTTtMMzjdP6vcJ/J/9+dvv7m3Dbt+dUptOd/nV3R\nL0+fn386dX0T+niOXTP347mbQjPM4ZzS1Ezyr1z21fn7U9vMMfTDfN7+Yk39qKQ3dYWpnXlN\nRD28F9x903ddmma5pfbiLZmwZu6m8/tzCkMzpUTm3fo2u5iOq1WENXOoawXzznfugfcqwpq5\njVWtYFytoT/wXkVYM01jVSsYV+tw4K0OczMNdZ1KoMoxYLRFP2KvrnIMzTiO5zRGqSk/UyW0\nAlQZhvG4OsMwNWFIVaVgXK3RqM3cvLpWEdb0fahqBeNq7Yb2uHsVYcuEtFrB+Fp1Skt7PjqQ\nKpX3+/qhj01Kfa0flPH6YRiOq7UbxiZ1tXoohNcO04F3Gie5r1Arh0J43TAfeJ9hHpturnsX\njK81HHinIcSmG1e1KuP798BbjXJf/Vx3byGoHsL8h6fMR+sUYc08drV6UMarh9AfV2uUO8u3\nVKkHZfxEDfG4WkVYM6ahVg/KuFpTOx1Xa7YSQlf3MBhXq5hOzRjnJLfcNlFmj7RiZaRt/iqt\nELKdhiF80CCLMnrmvrNJa0TftEHuXeyJNl3CS4FHECcZh7I0tr1J8BglXnzoXj5wE2GaZSpP\n8jgGEbAMQjJz08ZOcN+k6RIuJR7BnITqmkkqMBEeo8iLbHOOsU/Z1ExDHEVXyy/538U8/p2/\nSqNlPWvnZP1KXLpRFp4wXYDaRcClC08srV26Fn5rU3HrKTXd0FXdm4ZmFmMKvelhubzq2yT2\nSj9ZcQdxfW5tN7XdnB/zEMI49Gdt5paW9sV+WGwue/7GlOcdZSldLP4NxsNUxp6/ifC4fv5X\nNTNMzaKQOJVI6NQJqUntJYypVIhqKkGCx/WDv6qNUvU4ZVUdlqrfV4yMqazYZJ2axku4lHgE\nI62MUzPOnYnwmEVuHJ8xiKtX+isPpPcVM0oj87I7aY96XEo8gpFGBxmVYiSaCI9R5Fo1Fceh\nCdJ0e/4k9HmLipduvYDx/AtRPX9I8PigiS8PqBdzM8jM7qZl5pOZmlnmeBDdPfSXcCnxCOYk\nVLd4KybCYxS5dtB2crdhrCaWEaUju3Fq4nAJazcpYR1LCR4f27HViCWjI1Q7cos5YtGxHKEU\n4XE1Yq/qWK558BJIjGIidL2tox6XAvWyKkvSVK2iHur1V+urdmqGcajmFAmdQ21qxuESxpwq\nRDWnIMHjYx49lmaZMEXBgujFFBSNgZXdQb2cK/8pJlGi82jyHJwq1XpVjw5D0y96HT1KQntw\niE0/X8Lo0UJUPQoJHh80maCZuWYZU9YoqvsNxgJk6l/XKIrw+OA1K0zyHOZQNTpIr8zi+6KR\nW1xKVI0O47gsqBThMYvc2Gjxd6JoljjIrG6HxdsDo42TydKNl3Ap8QjmtAyTqQ2VCI9R5LZG\nz90ykWzCgdAZJiootFvICaQEJxzlOVhNuOu8FzGDY9udu66TVi/Dl8wg1mpeIccmzpdwKfEI\nRtRs14q1OlQiPEaRG0dCG5tBvNFqJJApT36WedNdgHiohaiGAct7XA2D6zpWFiWZAeeuzy1f\n2khGHlondYgiiuESLiUewUjHprF0JER4zCJ7rRfzXowp3grMlS2GK0L7Bd6KifC48l729eaU\n1BYgIRZKN1vnbXBSW4B9mR2EmCoJHidaA9dZ2DINclhI9GJatlpAiB5cYhIy+odpA/XyRxCn\nFPpm6qLJcxDXX722PoNgCp0zzmxjdNWEx7fBmKnmAepkNhEe1zr+L26miOWW9ZmZ/CDUwu+l\nunELae8X4kTzHsUdrI39A+wTBs5pAbWtGVDV77jysWJSbtqpEpZWvrQVufrxl6lonUmi9J7O\n5A1E52Cmo/dY3MG9nhPHDq0OMmpncDx6TEPCBqiaGibU4+kYm/Tp3P1nNVAP8PvNVSGjrgn8\n/A2mq0K/H64JRHhcuyrXrQFi3GQ7A24/sHr5UR6lLIcewocnzi7+yYQtHv9a9H5rycaoMWVM\nwjraYgw4WksYkybC490hKdEvc96aZ0iKhIagxDBvq7iEYYSkClGFpCDB44NjfYM8vSWLwphe\nHNBok32DS4l68stiNE6hEuExiuw2QxmSAoEQFMxOjxmSohmqMShKdLAaoTd0qzpe1bJPRhd6\n9ea2mCs/vDuu9RTh8bGLv61eZHS1ol71mEuRRVR0tTKhHh+zek0ypHK2DdsMQpso0yYNW8ja\nlaCfT3kO7vbz1UCDRiAuCgD2noc6uYGx4YfSqgzWwnc0TiemTSsQmEY62TeY0wpzH/OIEh3c\nG+md+yVyUVlUYGBBzVJFuIDNoipMZVFRqMd7w6ddK88vby3QfTKmTJGuDZrz4TF8IWXMfTIR\nHh8TIsPYZptJlCZirniI2jl1tH0s7uDeSM5z8Un/vGbTE7nLVy7t85IPEGcZTiEta3thujY2\nbV6a+yUFxkFc/whG2jgP0qa5Eukxihzi04c4L1FuKvWs7Rb/qGhtD/Vy8+lDHMTw7Eyeg7h+\nd2aMhUDJaMgTO3YbzBAot/AQ8oQIj1ch0NtNJtHFJXmOxCi9SPvIoXLxoxGxbOux8IK98B26\nSFMsqiAjGIQVNW1jgy3OiDwORhYp1OM61HjAxg2NDxL9ep9mg2F/cNsGFgckeLw78Khrb5XF\nQ0azdnRB32Jm8WCBZ9YORXi8O4sHJgI1KQnVnDA7NhialFYINCckeLy3KzsZX8M8V7YSGbWN\nutCWQJfHNHyUMVvJhHq8e6tZU6oqkw4MTDjN09pgM+mQt0UTjkI9vtmks94Eg96DCeex9SZN\nOvQehXp8UCwP22fmd5IpfiZ25DyEC8kNOjiZLO/x3oQorsbUSiRUC2GF32BoJS740EKQ4PHz\nS4jbtdBXthNWZTWWsK6vYWU7YZmnrUSRHte2066+/HOb8VjJzBcGAd9XF8cNpi+MxRLOLyU6\nuNeaRy4qUwaMKSkCTHDdYOz/W8KrpgiYCI+rlIHrVvTitCTRfalL5hClVnc1i8ezgeVyekQn\nGXXSbROdoDW064/Jcq52P8jobodOmi3m7gcmEXc7KMLjvZFl3ZqqrCQQahSVna0NpImkO1+0\niFDcwVvzBOypG1OeMyKyW4wHaSFafdQMyjp82LP/9Huz13Wq6NysaaocITKaEyQ2Y4iXMHOE\nClPlCFGEx7snPFIlzaADAwMO6Zcem0HHfEwYcBTq8d5ILLyrSn2SUXWpLtsWU33ChaO6pAiP\nd/embkJzScfcLEs4ZvYK2eJMYlm9TyatrOZO+I7WIdHEmqcMWqS5Kw5WLWQuC9pEkR7vtThy\nVCPmM8aWW0VGc6mSKOR0CTO3qjBVbhVFeLxfZz6NIXzAbqHtumPXOe+0Y9O6+r3adSeDXXcK\nS6vE9cN23Z/sfMgBIZsqQZiMJgSr2bnFTBCGHcqEYIjwuE4Q3qfyP20C/nXTC/Y2UxdJaKoi\nDPgNTt6gR6oiJXic9pn0DHXbGUYyemYR0e8N5hlGKAGeWaQIj2/VVJUhQkYNDzRrg2mIsJkw\nPCjC491LJ4I+tjjBm9HVCP7QGlaLE+NKWIwo0uPdK6humFSmPBk13nUTZotpzWNXhvY7RXi8\nN+D5XGxPHH20lEAymgSI45QbzKxAnq9EHiBFeHyQkn+yjLvrZr2ubfaOCmNEq/eBC+YWlxLV\nAprEnpqSSXCQBXYPAJvzMMF1ksOIX8NqzvPxY45TpMe7Q2AawjDPA4Q6GroJ7CHdDoRE4GWg\nuIP1KY8d7auinSA0uFnq30CGOrV9jGxqcQf3ZyYiukdzg0S/jhhuMMwNBhBhXkCCxwdZys/x\nzFQvE6GvsheJS6f2bdOnC1A7DBi5SiitHbwWfkOsm9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2I8h+Oh7R4Z7w3fiieNsaDoTc6muiRPe1sGp5Ig7TiEXvSDjbCHIEjRPceS9x7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\nagogICA4ODgzCmVuZG9i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HE8bKgBJJOaAPuis3UfEmkaRqemabf6pZWWo6pI8VhaXFwkc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\nwiaIDyoxkzKfNO51OEwoOd4q3o/jjw54ht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1W31L4h/FfxJoH/CQ6roOm6FpVlLCmkziF5Li5a4JldsHcFWFAqH5clsg1qaV8IZLTVk1X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\nfwLiJV+aTGfce1ZVXNS623/XBP5UAT2dgY7uFvPgbDg4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CggIhhHaM7Mknnzx8+PD111+/dOlS/6fs1q1b33rrrdCuQu0Lrpl2koR2WNav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\nunKFP9UJIQwXLlg+XC68Qa7mXUvl5eV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gzDCgsLJawNW6f1AAAgAElEQVTf1gZD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title"},"metadata":{"application/pdf":{"height":420,"width":420},"image/jpeg":{"height":420,"width":420},"image/png":{"height":420,"width":420},"image/svg+xml":{"height":420,"isolated":true,"width":420}},"output_type":"display_data"}],"source":"# Scatter plot of Sepal Length vs Sepal Width\nggplot(iris_from_db, aes(x = Sepal_Length, y = Sepal_Width, color = Species)) +\n    geom_point() +\n    labs(x = \"Sepal Length\", y = \"Sepal Width\", title = \"Sepal Length vs Sepal Width\")"},{"cell_type":"code","execution_count":9,"id":"1f962e43-3227-4665-b239-fb5ea2e34115","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:52.436992Z","iopub.status.busy":"2024-04-06T15:00:52.435996Z","iopub.status.idle":"2024-04-06T15:00:52.858335Z","shell.execute_reply":"2024-04-06T15:00:52.857244Z"},"language":"python","trusted":true},"outputs":[{"data":{"application/pdf":"JVBERi0xLjcKJbXtrvsKNCAwIG9iago8PCAvTGVuZ3RoIDUgMCBSCiAgIC9GaWx0ZXIgL0Zs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\nXjImBzfxd/CP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UnVnk72andb7gwS9vI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\nFdFHbKrnqK6RvV8ngaxjgz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Hz29/evV6+eVeuBQq1WCyGUy6hA4dJoNEIIrVbLDwzW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\nnhU7ELHHzhsFBASEhYVpXQUAAOhjBDsAAABJEOwAAAAkQbADA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title"},"metadata":{"application/pdf":{"height":420,"width":420},"image/jpeg":{"height":420,"width":420},"image/png":{"height":420,"width":420},"image/svg+xml":{"height":420,"isolated":true,"width":420}},"output_type":"display_data"}],"source":"# Box plot of Petal Length by Species\nggplot(iris_from_db, aes(x = Species, y = Petal_Length, fill = Species)) +\n    geom_boxplot() +\n    labs(x = \"Species\", y = \"Petal Length\", title = \"Petal Length by Species\")"},{"cell_type":"code","execution_count":10,"id":"21612012-4c9a-41a3-96d4-a97fc6367a1a","metadata":{"execution":{"iopub.execute_input":"2024-04-06T15:00:52.860770Z","iopub.status.busy":"2024-04-06T15:00:52.859941Z","iopub.status.idle":"2024-04-06T15:00:53.062576Z","shell.execute_reply":"2024-04-06T15:00:53.061456Z"},"language":"python","trusted":true},"outputs":[{"data":{"application/pdf":"JVBERi0xLjcKJbXtrvsKNCAwIG9iago8PCAvTGVuZ3RoIDUgMCBSCiAgIC9GaWx0ZXIgL0Zs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\nWei2g13xj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f5HoFFFFfTnwx534T/wCT6/Cv/Yj6j/6VwV9g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\n/gZaf/GK+oaKF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ZsyYEMK6desSHhAAgPzkFXYnn3zyD3/4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\nlk9vFFa2GH7yk5/8/Oc/73lk/Pjx8+bN637z8ssvP+Rvjj322A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title"},"metadata":{"application/pdf":{"height":420,"width":420},"image/jpeg":{"height":420,"width":420},"image/png":{"height":420,"width":420},"image/svg+xml":{"height":420,"isolated":true,"width":420}},"output_type":"display_data"}],"source":"# Histogram of Petal Width\nggplot(iris_from_db, aes(x = Petal_Width)) +\n    geom_histogram(binwidth = 0.1, fill = \"skyblue\", color = \"black\") +\n    labs(x = \"Petal Width\", y = \"Frequency\", title = \"Petal Width\")"}],"metadata":{"jupyterlab":{"notebooks":{"version_major":6,"version_minor":4}},"kernelspec":{"display_name":"R","language":"R","name":"ir"},"language_info":{"codemirror_mode":"r","file_extension":".r","mimetype":"text/x-r-source","name":"R","pygments_lexer":"r","version":"4.2.3"},"singlestore_cell_default_language":"python","singlestore_connection":{"connectionID":"57e2367b-3b1b-4ffc-aa09-0bf89add18eb","defaultDatabase":"iris_db"}},"nbformat":4,"nbformat_minor":5}