diff --git a/Prince_2401109217.ipynb b/Prince_2401109217.ipynb
new file mode 100644
index 0000000..4683f99
--- /dev/null
+++ b/Prince_2401109217.ipynb
@@ -0,0 +1,573 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 20,
+      "metadata": {
+        "id": "ne7_9YsSzCHr"
+      },
+      "outputs": [],
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df=pd.read_csv('/content/irisdata.csv')"
+      ],
+      "metadata": {
+        "id": "xkIAvVFD01pe"
+      },
+      "execution_count": 21,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 423
+        },
+        "id": "v69usZUG1B1b",
+        "outputId": "e18c3534-6b56-48e3-999e-67e14fef32d8"
+      },
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "     5.1  3.5  1.4  0.2     Iris-setosa\n",
+              "0    4.9  3.0  1.4  0.2     Iris-setosa\n",
+              "1    4.7  3.2  1.3  0.2     Iris-setosa\n",
+              "2    4.6  3.1  1.5  0.2     Iris-setosa\n",
+              "3    5.0  3.6  1.4  0.2     Iris-setosa\n",
+              "4    5.4  3.9  1.7  0.4     Iris-setosa\n",
+              "..   ...  ...  ...  ...             ...\n",
+              "144  6.7  3.0  5.2  2.3  Iris-virginica\n",
+              "145  6.3  2.5  5.0  1.9  Iris-virginica\n",
+              "146  6.5  3.0  5.2  2.0  Iris-virginica\n",
+              "147  6.2  3.4  5.4  2.3  Iris-virginica\n",
+              "148  5.9  3.0  5.1  1.8  Iris-virginica\n",
+              "\n",
+              "[149 rows x 5 columns]"
+            ],
+            "text/html": [
+              "\n",
+              "  <div id=\"df-5766f1b0-e09b-45a3-a956-ccd42b1c39a8\" 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>5.1</th>\n",
+              "      <th>3.5</th>\n",
+              "      <th>1.4</th>\n",
+              "      <th>0.2</th>\n",
+              "      <th>Iris-setosa</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>4.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>Iris-setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>4.7</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>Iris-setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>Iris-setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>5.0</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.2</td>\n",
+              "      <td>Iris-setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>5.4</td>\n",
+              "      <td>3.9</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.4</td>\n",
+              "      <td>Iris-setosa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>144</th>\n",
+              "      <td>6.7</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>Iris-virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>145</th>\n",
+              "      <td>6.3</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>Iris-virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>146</th>\n",
+              "      <td>6.5</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>Iris-virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>147</th>\n",
+              "      <td>6.2</td>\n",
+              "      <td>3.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>Iris-virginica</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>148</th>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>Iris-virginica</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>149 rows × 5 columns</p>\n",
+              "</div>\n",
+              "    <div class=\"colab-df-buttons\">\n",
+              "\n",
+              "  <div class=\"colab-df-container\">\n",
+              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5766f1b0-e09b-45a3-a956-ccd42b1c39a8')\"\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",
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+              "      height: 32px;\n",
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+              "      width: 32px;\n",
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+              "      background-color: #E2EBFA;\n",
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+              "      fill: #174EA6;\n",
+              "    }\n",
+              "\n",
+              "    .colab-df-buttons div {\n",
+              "      margin-bottom: 4px;\n",
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+              "\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",
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+              "\n",
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+              "      const buttonEl =\n",
+              "        document.querySelector('#df-5766f1b0-e09b-45a3-a956-ccd42b1c39a8 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-5766f1b0-e09b-45a3-a956-ccd42b1c39a8');\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",
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+              "      --bg-color: #E8F0FE;\n",
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+              "type": "dataframe",
+              "variable_name": "df",
+              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 149,\n  \"fields\": [\n    {\n      \"column\": \"5.1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8285940572656172,\n        \"min\": 4.3,\n        \"max\": 7.9,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          6.2,\n          4.5,\n          5.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"3.5\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4334988777167477,\n        \"min\": 2.0,\n        \"max\": 4.4,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          2.3,\n          4.4,\n          3.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"1.4\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7596511617753423,\n        \"min\": 1.0,\n        \"max\": 6.9,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          6.7,\n          3.8,\n          3.7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"0.2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7612920413899608,\n        \"min\": 0.1,\n        \"max\": 2.5,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.2,\n          1.2,\n          1.3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Iris-setosa\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Iris-setosa\",\n          \"Iris-versicolor\",\n          \"Iris-virginica\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
+            }
+          },
+          "metadata": {},
+          "execution_count": 22
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "\n",
+        "print(\"This is mean\")\n",
+        "\n",
+        "mean = df.mean(numeric_only=True)\n",
+        "print(f\"Mean Values =\\n {mean} \\n\\n\" )\n",
+        "\n",
+        "\n",
+        "print(\"This is median\\n\")\n",
+        "median = df.median(numeric_only=True)\n",
+        "print(f\"Median Values=\\n{median}\\n\")\n",
+        "\n",
+        "print(\"This is mode\")\n",
+        "mode = df.mode(numeric_only=True).iloc[0]\n",
+        "print(f\" Mode Values=\\n{mode}\\n\")\n",
+        "\n",
+        "print(\"This is standard deviation\\n\")\n",
+        "std = df.std(numeric_only=True)\n",
+        "print(f\"Standard Deviation =\\n{std}\\n\")\n",
+        "\n",
+        "print(\"Correlation Matrix\\n\")\n",
+        "corr_mat = df.corr(numeric_only=True)\n",
+        "print(f\"Correlation Matrix =\\n{corr_mat}\\n\")\n",
+        "\n",
+        "print(\"Covariance Matrix\\n\")\n",
+        "cov_mat = df.cov(numeric_only=True)\n",
+        "print(f\" Covariance Matrix =\\n{cov_mat}\\n\")\n",
+        "\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Uxpa9TxdT3XI",
+        "outputId": "195b0c33-59cf-4274-fd0b-2d78b488fc2e"
+      },
+      "execution_count": 23,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "This is mean\n",
+            "Mean Values =\n",
+            " 5.1    5.848322\n",
+            "3.5    3.051007\n",
+            "1.4    3.774497\n",
+            "0.2    1.205369\n",
+            "dtype: float64 \n",
+            "\n",
+            "\n",
+            "This is median\n",
+            "\n",
+            "Median Values=\n",
+            "5.1    5.8\n",
+            "3.5    3.0\n",
+            "1.4    4.4\n",
+            "0.2    1.3\n",
+            "dtype: float64\n",
+            "\n",
+            "This is mode\n",
+            " Mode Values=\n",
+            "5.1    5.0\n",
+            "3.5    3.0\n",
+            "1.4    1.5\n",
+            "0.2    0.2\n",
+            "Name: 0, dtype: float64\n",
+            "\n",
+            "This is standard deviation\n",
+            "\n",
+            "Standard Deviation =\n",
+            "5.1    0.828594\n",
+            "3.5    0.433499\n",
+            "1.4    1.759651\n",
+            "0.2    0.761292\n",
+            "dtype: float64\n",
+            "\n",
+            "Correlation Matrix\n",
+            "\n",
+            "Correlation Matrix =\n",
+            "          5.1       3.5       1.4       0.2\n",
+            "5.1  1.000000 -0.103784  0.871283  0.816971\n",
+            "3.5 -0.103784  1.000000 -0.415218 -0.350733\n",
+            "1.4  0.871283 -0.415218  1.000000  0.962314\n",
+            "0.2  0.816971 -0.350733  0.962314  1.000000\n",
+            "\n",
+            "Covariance Matrix\n",
+            "\n",
+            " Covariance Matrix =\n",
+            "          5.1       3.5       1.4       0.2\n",
+            "5.1  0.686568 -0.037279  1.270362  0.515347\n",
+            "3.5 -0.037279  0.187921 -0.316731 -0.115749\n",
+            "1.4  1.270362 -0.316731  3.096372  1.289124\n",
+            "0.2  0.515347 -0.115749  1.289124  0.579566\n",
+            "\n"
+          ]
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file