39110394_JAGADEESH_P{Assignment_3}.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "ac42c1d9",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "ac42c1d9",
        "outputId": "60e60cef-ede6-40ad-d093-ad483883316f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7fe954c29990>]"
            ]
          },
          "metadata": {},
          "execution_count": 1
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "#Line graph\n",
        "from matplotlib import pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "x=[1,2,3,4,5]\n",
        "y=np.power(x,2)\n",
        "plt.plot(x,y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "2061355b",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "2061355b",
        "outputId": "41c58a85-3a0a-444b-8ba4-33d1ba876bdd"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'Y-axis')"
            ]
          },
          "metadata": {},
          "execution_count": 2
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "#Scatter plot\n",
        "plt.scatter(x,y,color='green',marker='^')\n",
        "plt.xlabel('X-axis')\n",
        "plt.ylabel('Y-axis')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "69fb8220",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 330
        },
        "id": "69fb8220",
        "outputId": "8cf83b17-9f3f-4952-d442-0579cfb3abbe"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "No handles with labels found to put in legend.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Bar Plot')"
            ]
          },
          "metadata": {},
          "execution_count": 3
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Bar plot\n",
        "plt.bar(x,y,width=.5,color='green')\n",
        "plt.xlabel('X-axis')\n",
        "plt.ylabel('Y-axis')\n",
        "plt.legend()\n",
        "plt.title(\"Bar Plot\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "c69a5d76",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 317
        },
        "id": "c69a5d76",
        "outputId": "447eb04e-18cf-41ef-b590-a49ed35d217b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(array([1., 0., 1., 0., 0., 1., 0., 1., 0., 1.]),\n",
              " array([1. , 1.4, 1.8, 2.2, 2.6, 3. , 3.4, 3.8, 4.2, 4.6, 5. ]),\n",
              " <a list of 10 Patch objects>)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAOOUlEQVR4nO3df4zk9V3H8eeLO7BGsCTequR+9Ei8Gs9aBTcnBlOJbc1Bzd0fJeZIaKWhvahFa2g0VA1V/MfapJoqipeW9JdAT7TNSg+xsRgSI8hSKOVAmhVR7iS5g1KqQYunb/+YLzpddne+ezc7s/fh+Ug2zHe+H/b7vg/sk9mZ3SFVhSTp9HfGtAeQJI2HQZekRhh0SWqEQZekRhh0SWrExmldeNOmTbV9+/ZpXV6STksPPPDAM1U1s9S5qQV9+/btzM/PT+vyknRaSvLPy53zKRdJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGjAx6kpuTHEvyyDLnk+TDSRaSPJzkwvGPKUkapc8j9I8Bu1c4fymwo/vYD/zRqY8lSVqtkUGvqnuAr66wZC/wiRq4Fzg3yXnjGlCS1M84flN0M/DU0PGR7r6nFy9Msp/Bo3i2bdt20hfcft3nTvrvPVVP/vZbpnLdV+KfeVpeiXvtn3my1urPPNEXRavqQFXNVtXszMySb0UgSTpJ4wj6UWDr0PGW7j5J0gSNI+hzwNu7n3a5CHi+ql72dIskaW2NfA49ya3AJcCmJEeA9wNnAlTVTcAh4DJgAXgBeMdaDStJWt7IoFfVFSPOF/DusU0kSTop/qaoJDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSIwy6JDXCoEtSI3oFPcnuJI8nWUhy3RLntyW5O8mDSR5Octn4R5UkrWRk0JNsAG4ELgV2Alck2blo2a8DB6vqAmAf8IfjHlSStLI+j9B3AQtV9URVvQjcBuxdtKaAb+9uvxr41/GNKEnqo0/QNwNPDR0f6e4b9hvAlUmOAIeAX1jqEyXZn2Q+yfzx48dPYlxJ0nLG9aLoFcDHqmoLcBnwySQv+9xVdaCqZqtqdmZmZkyXliRBv6AfBbYOHW/p7ht2NXAQoKr+DngVsGkcA0qS+ukT9PuBHUnOT3IWgxc95xat+RfgjQBJvo9B0H1ORZImaGTQq+oEcA1wF/AYg59mOZzkhiR7umXvBd6V5EvArcBVVVVrNbQk6eU29llUVYcYvNg5fN/1Q7cfBS4e72iSpNXwN0UlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIa0SvoSXYneTzJQpLrllnz00keTXI4yS3jHVOSNMrGUQuSbABuBN4MHAHuTzJXVY8OrdkBvA+4uKqeS/KdazWwJGlpfR6h7wIWquqJqnoRuA3Yu2jNu4Abq+o5gKo6Nt4xJUmj9An6ZuCpoeMj3X3DXgu8NsnfJrk3ye5xDShJ6mfkUy6r+Dw7gEuALcA9SX6gqr42vCjJfmA/wLZt28Z0aUkS9HuEfhTYOnS8pbtv2BFgrqr+q6r+CfgKg8B/k6o6UFWzVTU7MzNzsjNLkpbQJ+j3AzuSnJ/kLGAfMLdozWcZPDonySYGT8E8McY5JUkjjAx6VZ0ArgHuAh4DDlbV4SQ3JNnTLbsLeDbJo8DdwC9X1bNrNbQk6eV6PYdeVYeAQ4vuu37odgHXdh+SpCnwN0UlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqREGXZIaYdAlqRG9gp5kd5LHkywkuW6FdW9NUklmxzeiJKmPkUFPsgG4EbgU2AlckWTnEuvOAd4D3DfuISVJo/V5hL4LWKiqJ6rqReA2YO8S634L+ADwn2OcT5LUU5+gbwaeGjo+0t33f5JcCGytqs+t9ImS7E8yn2T++PHjqx5WkrS8U35RNMkZwIeA945aW1UHqmq2qmZnZmZO9dKSpCF9gn4U2Dp0vKW77yXnAK8D/ibJk8BFwJwvjErSZPUJ+v3AjiTnJzkL2AfMvXSyqp6vqk1Vtb2qtgP3Anuqan5NJpYkLWlk0KvqBHANcBfwGHCwqg4nuSHJnrUeUJLUz8Y+i6rqEHBo0X3XL7P2klMfS5K0Wv6mqCQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiMMuiQ1wqBLUiN6BT3J7iSPJ1lIct0S569N8miSh5P8dZLXjH9USdJKRgY9yQbgRuBSYCdwRZKdi5Y9CMxW1euB24HfGfegkqSV9XmEvgtYqKonqupF4DZg7/CCqrq7ql7oDu8Ftox3TEnSKH2Cvhl4auj4SHffcq4G7lzqRJL9SeaTzB8/frz/lJKkkcb6omiSK4FZ4INLna+qA1U1W1WzMzMz47y0JL3ibeyx5iiwdeh4S3ffN0nyJuDXgB+vqm+MZzxJUl99HqHfD+xIcn6Ss4B9wNzwgiQXAH8M7KmqY+MfU5I0ysigV9UJ4BrgLuAx4GBVHU5yQ5I93bIPAmcDf5rkoSRzy3w6SdIa6fOUC1V1CDi06L7rh26/acxzSZJWyd8UlaRGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RGGHRJaoRBl6RG9Ap6kt1JHk+ykOS6Jc5/S5JPd+fvS7J93INKklY2MuhJNgA3ApcCO4ErkuxctOxq4Lmq+h7gd4EPjHtQSdLK+jxC3wUsVNUTVfUicBuwd9GavcDHu9u3A29MkvGNKUkaJVW18oLkcmB3Vb2zO34b8CNVdc3Qmke6NUe643/s1jyz6HPtB/Z3h98LPH6Sc28Cnhm5avKca3Wca/XW62zOtTqnMtdrqmpmqRMbT36e1auqA8CBU/08SearanYMI42Vc62Oc63eep3NuVZnrebq85TLUWDr0PGW7r4l1yTZCLwaeHYcA0qS+ukT9PuBHUnOT3IWsA+YW7RmDviZ7vblwBdq1HM5kqSxGvmUS1WdSHINcBewAbi5qg4nuQGYr6o54KPAJ5MsAF9lEP21dMpP26wR51od51q99Tqbc63Omsw18kVRSdLpwd8UlaRGGHRJasS6DXqSm5Mc637GfanzSfLh7u0GHk5y4TqZ65Ikzyd5qPu4fkJzbU1yd5JHkxxO8p4l1kx8z3rONfE9S/KqJH+f5EvdXL+5xJqJv6VFz7muSnJ8aL/eudZzDV17Q5IHk9yxxLmpvQXIiLmmuV9PJvlyd935Jc6P92uyqtblB/AG4ELgkWXOXwbcCQS4CLhvncx1CXDHFPbrPODC7vY5wFeAndPes55zTXzPuj04u7t9JnAfcNGiNT8P3NTd3gd8ep3MdRXwB5P+d6y79rXALUv985rGfvWca5r79SSwaYXzY/2aXLeP0KvqHgY/MbOcvcAnauBe4Nwk562Duaaiqp6uqi92t/8NeAzYvGjZxPes51wT1+3Bv3eHZ3Yfi39CYOJvadFzrqlIsgV4C/CRZZZM5S1Aesy1no31a3LdBr2HzcBTQ8dHWAeh6Pxo9y3znUm+f9IX777VvYDBo7thU92zFeaCKexZ9236Q8Ax4PNVtex+VdUJ4HngO9bBXABv7b5Fvz3J1iXOr4XfA34F+J9lzk9lv3rMBdPZLxj8x/ivkjyQwVufLDbWr8nTOejr1RcZvNfCDwK/D3x2khdPcjbwZ8AvVdXXJ3ntlYyYayp7VlX/XVU/xOC3n3cled0krjtKj7n+AtheVa8HPs//PypeM0l+CjhWVQ+s9bVWo+dcE9+vIT9WVRcyeLfadyd5w1pe7HQOep+3JJi4qvr6S98yV9Uh4MwkmyZx7SRnMojmn1TVny+xZCp7Nmquae5Zd82vAXcDuxedmupbWiw3V1U9W1Xf6A4/AvzwBMa5GNiT5EkG77j6E0k+tWjNNPZr5FxT2q+Xrn20++sx4DMM3r122Fi/Jk/noM8Bb+9eJb4IeL6qnp72UEm++6XnDZPsYrDHax6B7pofBR6rqg8ts2zie9ZnrmnsWZKZJOd2t78VeDPwD4uWTfwtLfrMteg51j0MXpdYU1X1vqraUlXbGbzg+YWqunLRsonvV5+5prFf3XW/Lck5L90GfhJY/NNxY/2anOi7La5GklsZ/PTDpiRHgPczeIGIqroJOMTgFeIF4AXgHetkrsuBn0tyAvgPYN9a/0vduRh4G/Dl7vlXgF8Ftg3NNo096zPXNPbsPODjGfwPXM4ADlbVHZnuW1r0nesXk+wBTnRzXTWBuZa0Dvarz1zT2q/vAj7TPVbZCNxSVX+Z5Gdhbb4m/dV/SWrE6fyUiyRpiEGXpEYYdElqhEGXpEYYdElqhEGXpEYYdElqxP8CFHgIn8KUJJEAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Histogram\n",
        "plt.hist(x)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "217f4ed9",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "217f4ed9",
        "outputId": "b1cf6151-8493-4b80-f9b1-723915bf2f8c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe945b85bd0>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "#Count plot\n",
        "import seaborn as sns\n",
        "x=[120,60]\n",
        "sns.countplot(x)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "e1f878ef",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "e1f878ef",
        "outputId": "76ae01d2-378e-4288-9644-b517bc164040"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe945b0e950>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVoAAAD4CAYAAACt8i4nAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAOTElEQVR4nO3df4gc533H8c9HlkTdyiQObsVVUSsncWPSlsg0MSkuxbXsVpiCHCilLjjCiF6gVWtD/qjJP42hFBcam/4VukZ2VHDtmNjGxoS0yqFi0rqOZFd19KOtXcVBOi4SxoltkVJ5d7/940bW5nTamb2dZ2f22ffLDLc7c/vs14f48PCdZ2YcEQIApLOu6QIAIHcELQAkRtACQGIELQAkRtACQGLrJ/AdLGsAUJXHHeC9N09WzpwN13xk7O+rYhJBq/Ubt0zia2ZS9/yiJOnUp3c0XEneth5akCT970Kn4UrydeWO+aZLSGYiQQsAE9PvNV3BJQhaAHnpdZuu4BIELYCsRPSbLuESBC2AvPQJWgBIixktACTGyTAASIwZLQCkFaw6AIDEOBkGAInROgCAxDgZBgCJMaMFgMQ4GQYAiXEyDADSiqBHCwBp0aMFgMRoHQBAYsxoASCx3ntNV3AJghZAXmgdAEBitA4AILEWzmjXNV0AANSq36++DWH7p2x/x/Z/2D5m+/5i/7W2X7L9uu2v2d5YVhJBCyAr0Xuv8lbi/yTdEhGflLRd0k7bn5H015IeioiPSfqhpD1lAxG0APIS/erbsGGWnSvebii2kHSLpK8X+/dLuqOsJIIWQF5GaB3Ynrd9eGCbHxzK9hW2j0g6K+mApP+R9KOIuHDnmtOStpSVxMkwAHkZYdVBRHQkdYYc70nabvuDkp6RdP1aSiJoAeQlwaqDiPiR7YOSfl3SB22vL2a1H5a0WPZ5WgcA8lJTj9b2zxYzWdm+UtJtkk5IOijp94pf2y3p2bKSmNECyEu3tht/z0nab/sKLU9Kn4yI520fl/SE7b+U9O+S9pUNRNACyEtNV4ZFxKuSblhl/0lJN44yFkELIC8tvDKMoAWQF+51AACJTeOM1vb1knbp4qLcRUnPRcSJlIUBwJq0cEY7dHmX7T+X9IQkS/pOsVnS47bvG/K596+26HQuuxYYAOrX7VbfJqRsRrtH0i9HxE/cfcH2g5KOSXpgtQ+tuNoi/njv/ePWCQDVRDRdwSXKgrYv6eclfX/F/rniGAC0yxT2aO+VtGD7NUmnin2/IOljkvamLAwA1mTagjYivmn7l7S8OHfwZNih4mYLANAuLTwZVrrqICL6kv5tArUAwPh67ZsDso4WQF6mrXUAAFOHoAWAxKaxRwsA0yT607eOFgCmC60DAEiMVQcAkBgzWgBIjKAFgMSm8KYyADBdmNECQGIs7wKAxFh1AABpBa0DAEisha2Doc8MA4CpE/3q2xC2t9o+aPu47WO27yn2f8n2ou0jxXZ7WUnMaAHkpb4ZbVfSFyLiFdtXSXrZ9oHi2EMR8TdVByJoAeSlW8/JsIhYkrRUvH7X9gldfNLMSGgdAMjLCK0D2/O2Dw9s86sNaXubpBskvVTs2mv7VduP2L66rCSCFkBe+lF5i4hORHxqYOusHM72JklPSbo3It6R9BVJH5W0Xcsz3i+XlUTrAEBW6lzeZXuDlkP2sYh4WpIi4szA8YclPV82DkELIC81nQyzbUn7JJ2IiAcH9s8V/VtJ+qyko2VjEbQA8lLfqoObJN0l6bu2jxT7vijpTtvbJYWkNyR9vmwgghZAXmq6BDcivi3Jqxz6xqhjEbQAssIzwwAgNYIWABLjpjIAkBgzWgBIjKAFgLSiN6Otg+75xUl8zUzbemih6RJmwpU7Vr0UHm3CjBYA0prZ5V2nPr1jEl8zky7MZDf99LUNV5K3cz/+niTp7btvbbiSfH3g0W/VM9CsBi0ATEz7WrQELYC8RLd9SUvQAshL+3KWoAWQl5k9GQYAE8OMFgDSYkYLAKkxowWAtKLbdAWXImgBZCWY0QJAYgQtAKTFjBYAEiNoASCx6K324NpmEbQAstLGGe26pgsAgDpF35W3YWxvtX3Q9nHbx2zfU+z/kO0Dtl8rfl5dVhNBCyAr0a++lehK+kJEfELSZyT9ie1PSLpP0kJEXCdpoXg/FEELICsRrrwNHyeWIuKV4vW7kk5I2iJpl6T9xa/tl3RHWU30aAFkJUWP1vY2STdIeknS5ohYKg79QNLmss8TtACy0h9h1YHteUmDT9zsRERnxe9skvSUpHsj4h374vgREbZL72JD0ALIStlJrp/43eVQ7VzuuO0NWg7ZxyLi6WL3GdtzEbFke07S2bLvoUcLICs1rjqwpH2STkTEgwOHnpO0u3i9W9KzZTUxowWQlajvdrQ3SbpL0ndtHyn2fVHSA5KetL1H0vcl/X7ZQAQtgKyM0joYOk7EtyVdbrAdo4xF0ALIStmyrSYQtACy0uNeBwCQFjNaAEisrh5tnQhaAFmpcdVBbQhaAFlhRgsAifX67bsOi6AFkBVaBwCQWJ9VBwCQFsu7ACCxNrYO1tw1tn33kGPztg/bPtzpXPYOZABQu3648jYp48xo75f06GoHVtzjMU49/LUxvgYAqpu6VQe2X73cIVV4fAMATFoLOwelM9rNkn5H0g9X7Lekf01SEQCMYRpXHTwvaVNEHFl5wPY/J6kIAMYwdasOImLPkGN/WH85ADCeBA/BHRvLuwBkJS77UITmELQAstKdttYBAEwbZrQAkBg9WgBIjBktACTGjBYAEuu1cEbbvouCAWAMfVffyth+xPZZ20cH9n3J9qLtI8V2e9k4BC2ArPTlylsFX5W0c5X9D0XE9mL7RtkgBC2ArMQIW+lYES9IemvcmghaAFnpj7CNYa/tV4vWwtVlv0zQAshK3668DT6koNjmK3zFVyR9VNJ2SUuSvlz2AVYdAMhKb4TfXfGQgqqfOXPhte2HtXyXw6EIWgBZqbKaYBy25yJiqXj7WUlHh/2+RNACyEzF1QSV2H5c0s2SrrF9WtJfSLrZ9nYtn097Q9Lny8YhaAFkpc5H2UTEnavs3jfqOAQtgKykbh2sBUELICvc6wAAEusxowWAtJjRAkBiBC0AJNbCR4YRtADywowWABIb5RLcSSFoAWSFdbQAkBitAwBIjKAFgMTqvNdBXQhaAFmZ2R7t1kMLk/iamXbux99ruoSZ8IFHv9V0CSjBqgMASKzfwubBRIL27btvncTXzKQLM6z33jzZcCV523DNRyRJ6zduabiSfHXPL9YyDifDACCx9s1nCVoAmWFGCwCJdd2+OS1BCyAr7YtZghZAZmgdAEBiM7u8CwAmpX0xS9ACyEwbWwfrmi4AAOrUU1Teyth+xPZZ20cH9n3I9gHbrxU/ry4bh6AFkJX+CFsFX5W0c8W++yQtRMR1khaK90MRtACyEiP8VzpWxAuS3lqxe5ek/cXr/ZLuKBuHoAWQlVFmtLbnbR8e2OYrfMXmiFgqXv9A0uayD3AyDEBWRlneFREdSZ21fldEhF1+KRozWgBZiRG2NTpje06Sip9nyz5A0ALISldReVuj5yTtLl7vlvRs2QcIWgBZqfNkmO3HJb0o6eO2T9veI+kBSbfZfk3SrcX7oejRAshKnRcsRMSdlzm0Y5RxCFoAWakyU500ghZAVtp4CS5BCyArvWBGCwBJcZtEAEiMHi0AJEaPFgASo3UAAInROgCAxFh1AACJ0ToAgMQ4GQYAidGjBYDEaB0AQGLByTAASKvKY8QnjaAFkBVaBwCQWBtbB6WPsrF9ve0dtjet2L8zXVkAsDZ9ReVtUoYGre0/0/KDx/5U0lHbuwYO/9WQz73/rPROZ81P8gWAkdX5zLC6lLUO/kjSr0XEOdvbJH3d9raI+FtJvtyHVjwrPd5+8ck6agWAUtN4Ce66iDgnSRHxhu2btRy2v6ghQQsATWnjybCyHu0Z29svvClC93clXSPpV1MWBgBr0cYebdmM9nOSuoM7IqIr6XO2/y5ZVQCwRm1cdTA0aCPi9JBj/1J/OQAwnja2DlhHCyArda4msP2GpHcl9SR1I+JTaxmHoAWQlV7UfqPE34qIN8cZgKAFkJU29mhLrwwDgGkyyqqDwYurim1+xXAh6Z9sv7zKscqY0QLIyig92hUXV63mNyJi0fbPSTpg+z8j4oVRa2JGCyAr/YjKW5mIWCx+npX0jKQb11ITQQsgK3Xd68D2z9i+6sJrSb8t6ehaaqJ1ACArNa462CzpGdvSclb+Q0R8cy0DEbQAslKlJVBFRJyU9Mk6xiJoAWSFp+ACQGJ1zWjrRNACyAozWgBIrBe9pku4BEELICttvASXoAWQFW6TCACJMaMFgMRYdQAAibHqAAASS3Dj77ERtACyQo8WABKjRwsAiTGjBYDEWEcLAIkxowWAxFh1AACJcTIMABKjdQAAiXFlGAAk1sYZrSdQVPv+rwG0lccdYP3GLZUzp3t+cezvq2ISQTt1bM9HRKfpOnLG3zg9/sbtsa7pAlpqvukCZgB/4/T4G7cEQQsAiRG0AJAYQbs6+lrp8TdOj79xS3AyDAASY0YLAIkRtACQGEE7wPZO2/9l+3Xb9zVdT45sP2L7rO2jTdeSK9tbbR+0fdz2Mdv3NF3TrKNHW7B9haT/lnSbpNOSDkm6MyKON1pYZmz/pqRzkv4+In6l6XpyZHtO0lxEvGL7KkkvS7qDf8vNYUZ70Y2SXo+IkxFxXtITknY1XFN2IuIFSW81XUfOImIpIl4pXr8r6YSkLc1WNdsI2ou2SDo18P60+MeJKWd7m6QbJL3UbCWzjaAFMmV7k6SnJN0bEe80Xc8sI2gvWpS0deD9h4t9wNSxvUHLIftYRDzddD2zjqC96JCk62xfa3ujpD+Q9FzDNQEjs21J+ySdiIgHm64HBO37IqIraa+kf9TyyYMnI+JYs1Xlx/bjkl6U9HHbp23vabqmDN0k6S5Jt9g+Umy3N13ULGN5FwAkxowWABIjaAEgMYIWABIjaAEgMYIWABIjaAEgMYIWABL7f5LmpkUB8VlhAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Heatmap\n",
        "fig=pd.DataFrame([[1,20,30],[20,2,23],[23,34,1]])\n",
        "sns.heatmap(fig,linewidth=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "b40c0a97",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "b40c0a97",
        "outputId": "c7ad22b1-0ecd-45e6-edb3-9eae9a45af84"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe94321b990>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Boxplot\n",
        "df = pd.DataFrame(np.random.rand(10, 5), columns=['A', 'B', 'C', 'D', 'E'])\n",
        "df.plot.box()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "62bd1f07",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 567
        },
        "id": "62bd1f07",
        "outputId": "6385022d-5d2a-42ed-be37-e3da4c09e8b7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7fe943250990>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 540x540 with 12 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Pairplot\n",
        "sns.pairplot(fig)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "5fc75f2c",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "5fc75f2c",
        "outputId": "2d6bb077-9e58-4a97-da7c-2d4a1d503e25"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x432 with 3 Axes>"
            ],
            "image/png": 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GD2SPBa1tSfHUR62ujW4qBQGvhxFRH/931CjOm1mzzeUm4jccNCFa1sED/9l1+9ySNu56u4mmbVzYNpG2/OqljXz9b6tZ354u2+CB7G64tmSGRQ0JWhP5Xeoq4IX9xkX52aEjegse2Qonj/m8DNwPvA68k5vXLf15r2ERH6fvVc3eY8JbXZF03da6JlReu9m2JgMkM5ZXV7bz2qp2ncuQ03Xb7uOnVvGn4+t7XTmMr/bzqYkxqkLesg6e7pIZWNOS4vbXG3hrTUePW7kLNsQ56b7lPDS/uaxDp7uMzX6tbkmxpiXZ6/lSfg9UBj18Y59hzJ5WTTCfrWL5L47tduuPLXe79WRda4qH3m+mNZH52K642oiXmvDgCZ2eeEz2agAz6sIMiw76i1dsZq0lnrb88a1G7nijkbTN7padOSZMZXDwhE5P/J7s8Y7P7lRBRdBLKmO5/bUG7n6nadCETk+69mKPqvATDfwnXAJewyfqQnx5j2rC/rxCR7vdelFya6jhMR9n7FXDv5a28/rqDrwme2zH72HQDz/uurDiSyvaGVvlZ9cRoUEdxl2yXZDh5D2qOXhijGte2MDoSr9GI5HtglY2p7j1tQam1ga5/Y1G1rWlBnXwAJsvhLqyOUlVyMPImI9owMPZM4aw64iiOFe+5JVc+ED2iscHToiy07AALy9vL6tRSQMhYyHo02eypaDPQyzoYUJNoF930CxXGSCTgWte2EB70qKP5j8s2UsXTazxcPWhI4kEtIttoJT0Jzmqwp9v6zvoeDDqenqQsajj6UXaouDpQcbCtFEhBc8A06cpIiKuU/iIiIjrFD4iIuI6hY+IiLhO4SMiIq5T+IiIiOsUPiIi4jqFj4iIuE7hIyIirlP4iIiI6xQ+IiLiOoWPiIi4TuEjIiKuU/iIiIjrFD4iIuI6hY+IiLhO4SMiIq5T+IiIiOsUPiIi4jqFj4iIuE7hIyIirlP4iIiI6xQ+IiLiOoWPiIi4TuEjIiKuU/iIiIjrFD4iIuI6hY+IiLhO4SMiIq5zLHyMMTsZY97s9tVsjLnQqfmJiEjp8Dn1xtbaBcA0AGOMF1gJPOjU/EREpHS4tdvtYOAja+1Sl+YnIiJFzLHOZwsnAnf39IQx5izgLICxY8e6VI6ISOF1X/8BzDl7nwJWk+PxYYzZrreoG1PPyuXLtjqN4+FjjAkARwPf7el5a+0twC0AM2bMsE7XIyJSLLqv/4wx9oSbXyxwRQMjnxB1Y7fbp4HXrbVrXZiXiIiUADfC5yR62eUmIiKDk6PhY4yJAocCf3ZyPiIiUlocPeZjrW0Dhjo5DxERKT26woGIiLhO4SMiIq5T+IiIiOsUPiIi4jqFj4iIuE7hIyIirlP4iIiI60o6fOLxBB2dnYUuQ0pMxuoSgtI3SxYvKXQJZadkw+etefOZduBnuPf3t5GId2K1QtnMY2B9e0or2S1krCVsUnQ2biCVSBS6nKLi98CMujBBr2H7rmdcZtJJki2buPG7ZzB79mxaWloKXVHZKLnwSSaT/OiaX3HgMSexeNly/vynO/jeBV9hw9o1JLVCwWugrsLHzNERPNt5WfRy0hlPsHj5ag77329z9fe/w+MP3UMiHodMptClFZTHZIPn4IlRrj5sBDcfU0ddhY+gV8tOJtHBptf/zhuXHcSmhW9y3333MWnSJJ555plCl1YWTDF1DDNmzLBz587t9fn3FnzISWddwPKVq2jv+PjuNp/fz5fPPI9DjzqOQDDkdKlFx2PAawzT68IMj7l1m6biZ62lM57gxrv/yk9v/hOpdHrzc1U1Q/n8aedSO2o0Pn+ggFUWht8DtVEfR+9cQWXQu/nxZNpyy9xN3P9uM/F08awf3GIyKZIdbXx42zdonPfP/3o+HA5zyimn8Itf/IJIJLLNt8t7vmV2S4VctvT6+5dE+KTTaa7/za1c+csb6YzHt7qLbcddduXiH1xFZVX1oFmheA2MiPnYY2QYv7ZYN+uMJ1i3sZFTvnMVb77/Uc8TGcMn9j+Ygz7zefx+H5iS2xnQZwbweuDA8VH2HBXq9cZh763r5NIn19LUmRk0IZRJdND83r/44I7vkG5v7nW6cDhMTU0N9913H/vss9V71yh8elH0f2kLFy1h1hHH8bNf3URH57aP7Xw4fx7nz/48z/7jEeLx8h6MYACfB6bXhZkxOqLg6aajM84dD/6DGV/4au/BA2Atrz73JL+95vusW72SVLK8d936PTA85uV/96phr7rwVu9YOWV4iDlfrOeonSrKfjecyaRId7Tw4a0XMf835241eAA6OjpYtWoVhxxyCBdeeCGdGvjUZ0Xb+WQyGf7vtt9zxVW/JJ5IkOnHvvlddt+Ti674GdFYBT6/f6DLLSivgWFRH9NGhgj6in4bwjXxRJJNTc2c8p2refWdBX16rTGG//nUp9nvsKPw+/1QRsfMurqd/cZG+MTorYdOT95a08nlT66lJZEhUWZdUCbRQcvCV/ng1otJtW7q8+sjkQi1tbU88MADTJ8+fcun1fn0oijXWkuWr+CAo07gBz+/gY7Ozn4FD8D8t9/gayd/jhefebxsuqCubmfaqDB7j4koeLrp6Izzp0eeYs/PndPn4IHs8aEXn3qU26//ERvXrymbLsjngaERL6dOq2bmmEifgwdgj5Eh7j2hnsMnxcqnC7Jp0p2tLLzzu7z3y9P7FTwA7e3tLF26lP33359LL72UhAY+5aXoOp9zLvgm3/7h1cQTcdLpgRuJtPv0vbngsp8QiUbw+kqzC/IaqAl72asuTEihs1kimaSppY3TvnsNz78+b0De0+Pxsv/hR7H3gYeXdBfk88CsMRFm1YcHbPTj3JUdfO/ptXQkMyTS256+GNlEB61L3mbBby8g2bR+wN43EokwevRoHnjgAXbbbTdQ51MaAw4qa4Za/7CxtLV3OPL+kWiMcy6+lD1n7UewhEbEGbKj2XYbEaK+yt+vLddy1dEZ5y9Pv8jFV99MqwPLzYi6eo7/3/OoqKouqY0WnwcqAh6O3aWS2ujAj35sS2S45vkNPLe0jc5U8axDtsXYNKlEnCX3/Ih1L9znzDyMIRQK8d3vfpfvfe97Cp9eFFX4eINh6x82zvH5TP+f/fjaJT8kFA7j9Rb3sGSvgaqQl+l1YcJ+dTtdkskULe0dnHn5dTz10huOzsvr9XHQZ49jr30Pwu8r/i7IlzthdN+xEbweZ2t9YVk7P3pmHZ2pDMkiP2XKJjpoX7mA92/+GolNqx2fXyQSoa2tTeHTi6IKH08gZAO1412ZV6yyiq99+/tM3WtGUXZBXd3O1OFBxlUH1O10094Z5/EXXuP8n/yaptY21+ZbN3YCnz/9q0RjFUXZBfk8EPFnu52RLp7r1dyZ5mf/Ws/LKzqKsgsyNkMqGWfZ/Vex5tm7XJ23tVbh04tBGz5dZh1wMOd883JCoRAer3fbL3CB10BF0MOMugiRgLqdLqlUiraOOGf/4Jf8/blXClKDz+/n0GNOYLdP7Is/UDznkfk8sMeIEJ+cEMXncLfTm2cXt/HTf64jnrakiqQLsslOOtYs4v2bziO+fpn781f4KHy2pqpmCOdf+iMmT9mdYKiwXZDHwC61QSbWqNvprr0zzr/mvs05P7iBTU2Fv75W/cQdOe7Uc4lEo3gKuOvW54GQz8MxO1cwurLw3dimjjQ/fnYdb63pLGwXZDNkknGWP3wDq564FQq0nlP4KHzysv8hn+YrF36HQCDoehfkNRANeJgxOkwsUBwdWDFIpdN0dMb5+k9+zYNPvlDocj7GHwhyxOe/xC7TZhakC/J5srtlPzUhVlQnGFtreXxhKz9/fgOJtMXt04JsspP4hhXMv/FcOtcscnfmW9ai8FH45KtmWC0Xfe9KJuy4k2vXiPMYmDw0wI5Dg+p2umnvjPPqOws483vXsW5jY6HL6dX4ybvwudlnEwqFXemCvAaCPsPRO1Uwtrp4dv1taX1bih88s4756+MudUGWTCLOqsduZPmjN0Km8OPAFT4Knz475LOfY/a5F2a7II8zx128BsL+bLfT/cKOg106naYjnuDiq2/mnkdL4wrCwVCYz3xxNpOmTnO0C/J5YKdhQQ6ZGC2JE4yttfx1QQu//PdGkk52Qck48cY1vP+bc2lf2fcTjJ2i8FH49EvtiFFc9P2fUT9+4oB3QR4Dk4YEmDwsqFsfdNPeGeedDxZx2nevYdW6jYUup88mTdmdY758JsFgCDOAu269Bvxew2d3qmBiTfF2O71Z3ZLkiqfX8dGmxAB3QdluZ83Td7DsL7/EppMD+N7bT+Gj8Ok3Ywyf/tyJnHTGuQQCAcx2dkFdu0w+MTpCVUjdTpd0JkNnPMHlv/wdt//5sUKXs11CkShHn3Q64ydPwR8Ibvf7+TywQ02Aw3eMlfSVLTLW8sC7zfzmlU0kM5bM9q56UnESzRt4/8bzaFv6zoDUONAUPgqf7TZydD3f+uHVjKgb0+8uyGNgQk2AnYcFHT/5r5R0dMZZsHg5sy+5mqWr1hW6nAGz0+7TOerE0wkEAxhP3zc0sjd6Mxw5OcaOQ7c/xIrFiqYklz+1lmVNyX53QZlEJ+ufv4fF91+NTRXvtdQUPgqfAWE8Ho498RSOO/mMbBeU571fPAYCXsMnRoepCRf3FRXclMlkiCeS/PjGP/Kbux8uy1uhR2IVHHvyVxgzYVKfuiC/B8ZW+/n0jhVEyvDKFumM5e53mrjttQYSaUve//PpBImWBhbcdB6ti5y9ssVAUPgofAbUmHET+eYPr6Z2xMhtrlA8BsZW+Zk6PKRup5uOzjiLV67h5G9fxUfLVhW6HMdN3WtvjvzibPz+re+69QA+r+GISTF2ri2fbqc3SxoTXPbEWla3prbZBWUSnWx85S8suudHZBKlcZV6hY/CZ8B5vV6On30mn/3ClwkE/nuIdNcukxmjwwyNqNvpkrGWeDzBtb+7l+vv+HO/b5dRimKV1Rx36tmMqh/f4112/R6oq/TzmckVxAbRlS1SGcudbzRw11tNPXdB6STJ9mY+uPnrNH/wciFK7DeFj8LHMeMnTeabP7iamqHDNndBXgN1lT52GxEu2KVOilFnPMGKNes5+TtXMf8j9y91Uiz2mLU/hx17EgG/HzwePCa7zByyQ4xdhw/ec70Wboxz6ZNr2dCe3twFZRIdNLzxDxbedQWZuHvX8RsoCh+Fj6N8fj9fOuOrHHnciQT9XqaPjjDcgcvYl6p0Ok0yleb//fEhrrrlHlLpwp/8V2iVNUP5/KnnMHrcBOoq/By9cwUVOteLZNry29c28ac3N5Fob+HDW79B47vPFbqsflP4FCh8jDHVwK3AroAF/tda++/epi/V8OnyjwfnsM/03YvqUifF4C9PvchVv72b9wZxt9MT4/Gw4Kn7GB71DtpupzeHfO5LPPuPR0h3FP46fttD4dN7+Di9eX4D8Ji19nhjTACIODy/gvLapIKnB8lUimWrB+5ukWXDWgVPLzxtG0o+eGTrHAsfY0wVcABwGoC1NgEU74B8ERFxjZOdzwRgPfA7Y8wewGvABdbajx01NMacBZwFQJHfVVREZCB9bP1HdndVOagbU7/NaZxc2/uAvYCvW2tfNsbcAFwCfK/7RNbaW4BbIHvMx8F6RESKSvf1Xykf8+l2jCdvTp5MsAJYYa3tGph/P9kwEhGRQc6x8LHWrgGWG2N2yj10MPCeU/MTEZHS4fRBlq8Df8yNdFsEnO7w/EREpAQ4Gj7W2jeBGU7OQ0RESs/guYCUiIgUDYWPiIi4TuEjIiKuU/iIiIjr8g4fY0y427BpERGRfssrfIwxRwFvAo/lfp5mjHnYycJERKR85dv5/ACYCTTC5iHUExyqSUREyly+4ZO01jZt8ZiuwyYiIv2S70mm7xpjvgR4jTE7AucDpXkFPBERKbh8O5+vA1OBOPAnoAm40KmiRESkvG2z8zHGeIG/WWsPAi5zviQRESl32+x8rLVpIJO7M6mIiMh2y/eYTyvwjjHmCWDznUittec7UpWIiJS1fMPnz7kvERGR7ZZX+Fhr78zdk2dy7qEF1tqkc2WJiEg5yyt8jDEHAncCSwAD1BtjTrXWPudcaSIiUq7y3e12HXCYtXYBgFQ6/qUAAB+rSURBVDFmMnA3MN2pwkREpHzle56Pvyt4AKy1HwB+Z0oSEZFyl2/nM9cYcytwV+7nLwNznSlJRETKXb7hcy5wHtnL6gD8C/iNIxWJiEjZyzd8fMAN1trrYfNVD4KOVSUiImUt32M+TwHhbj+HgScHvhwRERkM8g2fkLW2teuH3PcRZ0oSEZFyl2/4tBlj9ur6wRgzA+hwpiQRESl3+R7zuQC4zxizKvfzKOAEZ0oSEZFyl2/4TAD2BMYCxwF7ozuZiohIP+W72+171tpmoBo4iOww6xsdq0pERMpavuGTzv37GeC31tq/AQFnShIRkXKXb/isNMbcTPY4z6PGmGAfXisiIvIx+QbIF4F/AIdbaxuBIcC3HKtKRETKWr7382mn283krLWrgdVOFSUiIuVNu85ERMR1+Q617hdjzBKgheyAhZS1doaT8xMRkdLgaPjkHGSt3eDCfEREpERot5uIiLjO6c7HAo8bYyxws7X2li0nMMacBZwFgNeNRkxEpDh8bP0HzDl7nwJW0391Y+r7/Bqn1/b7WWtXGmOGA08YY9631j7XfYJcIN0C4AmEdMkeERk0uq//jDH2hJtf7NPr55y9D9aW5mrT0d1u1tqVuX/XAQ8CM52cn4iIlAbHwscYEzXGVHR9DxwGzHNqfoW27777UjN2J5Y2xkmlS3NLxCmH7jOdtx66mQNn7lHoUoqG1+vli1/4Ao8saOH99Z1kSnTr1SkPPPAA//rXv6irqyt0KeIQJzufEcDzxpi3gFeAv1lrH3NwfgURjUa5+qqruP766/H5A3SmYFFDgqbOVMm2wwOtqiLKsJoq7rnuMn5zxflEw6FCl1RQY8aM4aqrruLwIw7HAh9tSvDs4jZa4ultvnawqKioYNasWSxYsICTTz650OWIA0wxrSA9gZAN1I4vdBl5mzlzJj//+c+JxWL4/f6PPWeAsN8wqsKPz2MKU2ARSiSSNLS0cuolP+ffb75X6HJc5fF4OProoznqqKPw+/0Y8/HlwmNgp2FBJg0J/Ndzg1l7ezv//ve/+dKXvsS6desKXU6fWGvz/o8s02M+vf7+Cp9+CIfDXHLJJRxxxBGEQlvfivcYGBnzURH0ulRdaejojPPHR57isl/+js54otDlOG7kyJFceMEFDB8+HH+g9wvCew1EAx5mjA4TC2iZ6ZJKpWhvb+eMM87g/vvvL3Q5eVP49B4+Os+nj6ZNm8YjjzzCZ448cpvBA5CxsLolxcrmJOlMUS8krgqHgpxy9CG8/sCN7DVlx0KX4xhjDEceeSQ//elPqRtdt9XgAUhbaI5neHZxGx9tihf7isU1Pp+PyspK7rzzTv76178yZMiQQpck20mdT54CgQDfvPhijjn22LxCpyceA6MqfNqi3UJHZ5zb7v87P/zNH0gkU4UuZ8DU1tZywfnnM6qujsA2QqcnXgMVQQ8z6iJEAtpO7JJMJmltbWX27Nk88sgjhS5nq9T5qPPZLlOnTuWvDz/M5447rt/BA9kuaFVzilXqgj4mHApy5heO5JV7/4/dJk8odDkD4pBDDuFnP/sZY8eO7VfwQLYLaurM8MziVpY0qAvq4vf7qampYc6cOdx7771UVVUVuiTpB4XPVvh8Pi76xje4/fbbGTFyZL9XIt1ZoDWRYXFDgrZEZvuLLBOhYIDxo0fwxG1Xc/k5X8bnLc3ucOjQofzg+9/npJNOJBgMYjzb9ydmyYbQu+vivLCsnY6klpkukUiEY445ho8++ohDDz200OVIHyl8ejF58mQeeughTjzpJEKh0ICOPupaoaxsTrKmJalzPHKMMYRDQb528jH8+55fsdOEvl+yo5A++clPctVVVzFh4kQCgeCAvnfaQkNHmqcXtbKsMaEuKCcQCDB06FAeeugh7rzzTmKxWKFLkjwpfLbg9Xo599xz+cMf/sCYMWMIBgd2JdKdJXtwedGmBO3aot0sHAwyaWwd//z9dVx02vF4trN7cFpVVRWXXXops085hVAo5Fi9XRst76zt5N/L2+lMaZnpEolEOOGEE1i4cCEHHHBAocuRPBT3X7XLJkyYwP3338/pp5024N1Ob7pWKCuakqxtVRfUxePxEA4F+fYZX+T5u37BxPpRhS6pR7NmzeKaa65h8k47EXBwQ6W7tIWN7dkuaFVz0pV5loJgMMiIESP4+9//zk033UQ4HC50SbIVCh+yK7rTTz+de+65hwnjxxPcjkEF/WXJHlxe3JDQfv1uwqEgu+wwlhf+dAPnnPjZojn5sqKigm9965t85cwzCYfDrndnFkhl4I3VHby8op1EWstMl0gkwqmnnsqHH37I3nvvXehypBeDPnzq6+uZM+cezjnnnGy3U8BdPF0rlOVNSda1JbVfP8fj8RAJBfn+ebN5+o5rGDtqeEHrmT59Otdeey27Tt3VtW6nN2kL61pTPPVRK2ta1AV1CYVCjB49mqeffppf/OIXAzJYSAbWoA0fYwxf+tKXuO+++5g0acftGkI90CzQ2JHtgrRf/z8ioSB77LQDL835f5x67GHuzz8S4cILLuDcc88lEongKZIReRZIZuC1VR3MXdlOUhe23SwSiXDOOefw/vvvs+eeexa6HOlmUIbPqFGjuOuuu7jgggsKssskH10rlGWNSTa06SKlXbxeD9FwiKsuPpO/33Ilo2rdOdN999135/rrrmPanns6Oghle6QtrGlN8eSiVta1lc/JutsrFAoxfvx4nn/+eX7yk5/g87lz00q35lOqimqt6/V6CTrcHh933HE8+OCDTJmyS1F1O72xwKaONEsak8TVBW0WCQXZe/edmXv/b/jipz/p2HxCoRBfPfdcLrjgfKKxGN4i6XZ6k7GQTFteXdHOG6vbSelkZiC7pyMSiXDRRRfx7rvvMnXqVEfnF41G2Wef0rwrqVuKKnx23XkyRx56EBEHLrlfW1vL7353O9/5zndy3U5xr0S6s0AibVnamGRju7qgLl6vl1gkzA2XnsdD//dDaocM7JnuU6ZM4frrrmPmzJkDft6O07LnkWWPBW1oVxfUJRwOM2nSJF555RUuu+yyAd/r4fV6iUaj/OIXv+DZZ58d0PcuN0UVPl6vl7tvuYE7fn0tlRUxAlvcpqC/jjzySB5++GGm7TGtJLqd3liyQ2yXNiZJaL/+ZpFQkP2n78brD9zEMZ/a/q3NYDDImWeeycUXX0xFZSXeEt19krEQT1teWt7O22s6dEmnHI/HQyQS4bLLLuOtt95ixx0H5sK20WiUGTNm8O677/KVr3ylaEZmFquiCp8uRx9xCO+9+AQHH7APke0Yqz9kyBBuuukmvn/FFUV1gHh7WLIrlCUNCTapC9rM5/VSGYtw0w8vZM71l1FTVdGv99lxxx259tpr2XfffctmhFTGwrKmJE8tamVTh7qgLuFwmClTpvDmm29y0UUX9TssusLsyiuv5MUXX2TcuHEDXGl5KsrwARg2pIYHf38zN133EyqiUfx93Po8+OCD+etf/8rMmZ8gVIYnm1lgQ3uaZU1JjW7qJhIKcvD/7MWbf76Jw/ebkffr/H4/p86ezSWXXEJ1dXXZHSzOWOhMWV5c1s68tZ3qgnK6guPHP/4xr776KuPHj+/T66PRKLvvvjtvvfUW559/flEOXipWRf9JffGYz/DO84+x36wZRCLbDpHKykpuuOEGrrzySmKxGF5vea1EurNkVyiLGxI0dqgL6uL3+aiujHHHz77NHVd+m8poZKvTT5gwgWuuuYYDDzywbLqd3mQsLG1M8MziVho7ddvuLpFIhGnTpjFv3jzOOeecbU5vjCEcDnP55Zczd+5cJk2a5EKV5aXowwdg5PBaHr3nd/zyJ98jGgnj8/W8+2z//ffnb3/7G/vtt19JH9vpKwusa0uzvClJSl3QZpFQkM8euDdvPnQzB83c47+e93q9nHjiCVx++eUMGTIE3wAdYyx2aQvtScvzS9uYv75Tl3TK6RoscN111/HCCy8wZsyYHqeLRCLsvPPOzJ07l0suuaToR0AWq5IIH8huacw+4TjefPZRPjFtd6LduqBYLMbPf/5zrr32WiorK8tul0k+LNCRsixqSNDUqS6oi9/vY2h1JXdfdxk3/eACormRlPX19Vx99dUcdthhBAKBQXlwOGNh0aZsF9QcVxfUJRKJMHPmTObPn89pp522+fGubudb3/oWb7/9NlOmTClckWWgqO5kOmPGDDt37txtTmet5be/v4dLfnw1U3fdjWuuuYZYLIZ/kGy5bosBogFDXYV/UK5Ue5NIJmloauP/Pfw802bMwu/X59PFY2CPEUHGVA3OIO5Ne3s7L7/8Mqeddhp+v5/777+fadOm9eUtdCfTXpRki2CM4axTT+KQA/djYypAZVV1oUsqKhYI+kqmqXVNwO8nUlHB3vvsj81/nTAoZCwMjSqMtxSJRDjggAO47bbbOOCAA8r+mKCbSjJ8ukwcV09mYxwd5vhvBrQi6UHGgtdj0MUi/ps2V3rm9Xo55JBDCl1G2dHyJiIirlP4iIiI6xQ+IiLiOoWPiIi4TuEjIiKuU/iIiIjrFD4iIuI6hY+IiLhO4SMiIq5zPHyMMV5jzBvGmEecnpeIiJQGNzqfC4D5LsxHRERKhKPhY4wZA3wGuNXJ+YiISGlx+sKivwS+DVT0NoEx5izgLICxY8c6XI6ISPHovv6D7C0S+qJuTP1Al+Qax8LHGPNZYJ219jVjzIG9TWetvQW4BbL383GqHhGRYtN9/Zfv/XxK4B4+eXFyt9u+wNHGmCXAPcCnjDF3OTg/EREpEY6Fj7X2u9baMdba8cCJwNPW2pOdmp+IiJQOnecjIiKuc+VOptbaZ4Fn3ZiXiIgUP3U+IiLiOoWPiIi4TuEjIiKuU/iIiIjrFD4iIuI6hY+IiLhO4SMiIq5T+IiIiOsUPiIi4jqFj4iIuE7hIyIirlP4iIiI6xQ+IiLiOoWPiIi4TuEjIiKuU/iIiIjrFD4iIuI6hY+IiLhO4SMiIq5T+IiIiOsUPiIi4jqFj4iIuE7hIyIirlP4iIiI6xQ+IiLiOoWPiIi4TuEjIiKuK+nwaUtk6EzZQpdRtKzVZ9OTjD6WHuljETeVbPi8s7aT7zy+hn982EIibcloRbuZAdqTmUKXUXSstUT9huqQF1PoYoqM18Ca1qQ2WMQ1vkIX0FcdyQx3vdXI3FUdJNIwb32CZc0NHLtLBbURH37v4F6tGGBI2MvQiBdjBvdn0V0mY+lMWVa3JqmN+gj7DatbUlg7uLf4PQa8HsP0ujDDoyW3OpASVlJL2/z1cW58dROdyQzdN+yb4xl+/2YT00eFOHBCFJ+HQbfiNYDPA3WVfkK+km1oB5y1Fgusa0vRFP/PQhMLeJlY42FNa4q2RGZQBpDXwIiYjz1Ghgf9Rpu4z7HwMcaEgOeAYG4+91trv9+f94qnMtz9ThP/Xt5OIt37dK+t7uSjhgTH7VLJkLAX3yD5gzJAddhDbcQ36EJ3azLWEk9ZVrUkSfWwF9LrMYyu9NMST7OmdfB0QV0bKnuOCjOywl/ocmSQcrLziQOfsta2GmP8wPPGmL9ba1/qy5t8uDHOb17ZRFvi491Obxo7M/zujUb2HhNm37GRsu6CDOD1QF2Fn7Bf3U6Xrm5nfVuKxs5tLzQVQS9hv4c1LUnak7asA8hrYFjUx56jQgS8WmakcBwLH5s9ctma+9Gf+8r77zqZttw7r4l/Lm0juZVup8d5Ay+t6ODDjQmOm1JBVciLz1NeAWSAqpCH2qgPT5mGa39krCWRtqxqTpHsw7A2X64Lao6nWdeaptyGa3RtqEwbGaauUt2OFJ6jx3yMMV7gNWAS8H/W2pfzed2ShgS/fmUTLfF0n4Onu40daW59rZF9x4bZe0x5dEGG7EHiuko/EXU7m3V1Oxva0zR09G+hMcZQFfIRDXhZ3ZKko0y6IK/JDkLZsy6s44FSNIwbQyuNMdXAg8DXrbXztnjuLOAsgLFjx06/7tG3eXxha1672PpieNTLcbtUEgt6SrYLMkBl0MPwmLqd7jLWkkxbVrWkSKQHZnm21tLUmWZdWzbISjGEujZUdhsRor7KX/IbXiVqqx969/UfMD2fN6wbU8/K5cu2ty639Pr7uxI+AMaYK4B2a+21vU0zavIe9uhrH93qoILt4THwyXER9qoLl1QX1LUSGVXhJxrQlmuXrm5nU3uajf3sdrYlG2pJ4qnS6oK8BqpCXqbXhXU8sLDyXskYY+wJN7/Y43Nzzt6nVM/B6vX3d2ypNMbU5joejDFh4FDg/a29JpnBseCB7Jntzyxp549vN9ESz5AqgVPdDRALephQE1DwdJOxlmTGsqwx6VjwAPi9hrFVfmqjpXFiqiEbPFOHB9l3bETBI0XLyWM+o4A7c8d9PMC91tpHHJxf3ta0prh5bgOfmhhl9xGhoj3HIdvt+IgFvIUupahkrKWhI83G9rQr3Ygxhppw9ljQquYkiXRxdkFeAxVBDzPqIkS0oSJFzsnRbm8Dezr1/tsrbeGJj9qYvz7OsbtUEPZ58BbJsSADRAMeRsZ8RVNTMchYSzoDq1qSBbmmX8BrGFftp6EjzQaXgi9fXgM71waZWBMomd3JMriV1BUOnLCiOcXNrzZw6A5RdqktfBfkMTAy5qMiqG6nu0xuAMD6tsKu9I0xDIn4iAY8rGrJDucu5K54r8luqMwYHVaHLCVl0IcPZI81PfphG++uT3DMzhUEvcb1jsMAYb9hVIW/ZEfjOSFjLRkLq5qTdBTRFcyDPg/jq/1s7EizqUBdkMfA5GFBJg1RtyOlRzuGu1namOSmVxtYsCFOcoCG7ObDACNiXsZUKni6y1hLczzDok2JogqeLsYYhkV8jKv24/f0YVjTdvIaiAU8fHJ8lB2HBhU8UpLU+WwhkbY8vKCViTVxjtop2wV5HAoEA4R8hroK/6C5Dl0+urqd1bnL3RS7oC87GnFDe4qGDmcvUuoxsMOQAJOHBXWul5Q0dT69WNSQ5Oa5DSxsSDjSBRmyJ77WVyl4ustYS2s8w+KGREkETxdjDLVRP2Or/dlzyAb4/b0GIn7D/uOi7FwbUvBIyVPnsxWdKcuf32th8tAAn5kcw+812/1Hb4Bgrtsp9OCGYmI3dzsp2kr4Rnihri4od1HTgYhPj4HxNQF2HhbU6EcpGwqfPHywMcHyuQ0cNbmC+qr+h4YBaqPe7J00teW6WcZa2hIZ1rSmyuIW1x5jGB7zUxHMsKolSTrTv8vzeE32JNdPjI5QE9ZINikvCp88dSQt977bzC61AT49KYavD12QIXuOSF2ln4C6nc26up01rSlaE6Xb7fQm7M92QetaUzTH+9YFeQzUV/mZOjykbkfKksKnj+avT7C8qZGjd4oxKo9dZwYYFvFSE1a3013GWjqSGVa3pHBxYKHrPMYwssJPZa4LymzjhnUeA36PYcboMEMj+vOU8qWlux9aExn+9E4zu40IcugOMXwe/qsLMmR3mdRV+AjqMvabWZs9KXNNW4qWePl1O72JBDxMrAmwNvd79xRAXgOjK/3sOiKkIfdS9hQ+2+GdtXGWNiY5ducKaqO+zV2QIXv/lKERdTvdZaylM5lhVWuK9ODJnc08nuxJxF1dUNdtuz0mezO76XVhaqP6k5TBQZvk26k5nuH3bzXxzOI2rLX4PTC22s+wqE/Bk5M9b8eyrjXF8ubBGTzdRXNdUCx38c9RMR8HT4wpeGRQ0dI+QF5f3clhk2JM0IUd/0trIsO6NoVOd15PdgDKuCofIb9Gssngo85ngCl4elYOQ6idoOOBMlhpyRcREdcpfERExHUKHxERcZ3CR0REXKfwERER1yl8RETEdQofERFxncJHRERcp/ARERHXKXxERMR1Ch8REXGdwkdERFyn8BEREdcpfERExHUKHxERcZ3CR0REXKfwERER1yl8RETEdY6FjzGm3hjzjDHmPWPMu8aYC5yal4iIlBafg++dAi621r5ujKkAXjPGPGGtfc/BeYqISAlwrPOx1q621r6e+74FmA+Mdmp+IiJSOlw55mOMGQ/sCbzsxvxERKS4ObnbDQBjTAx4ALjQWtvcw/NnAWcBRGvVGInI4NF9/ef1eplz9j49Tlc3pt7NslzhaOdjjPGTDZ4/Wmv/3NM01tpbrLUzrLUzQpVDnSxHRKSodF//TZs2DWttj18rly8rdKkDzsnRbga4DZhvrb3eqfmIiEjpcbLz2Rc4BfiUMebN3NeRDs5PRERKhGPHfKy1zwPGqfcXEZHSpSsciIiI6xQ+IiLiOoWPiIi4TuEjIiKuU/iIiIjrFD4iIuI6hY+IiLhO4SMiIq5T+IiIiOuMtbbQNWxmjFkPLO3HS4cBGwa4nP5SLT1TLT0rplqguOoph1o2WGuPyGdCY8xj+U5bDooqfPrLGDPXWjuj0HWAaumNaulZMdUCxVWPailv2u0mIiKuU/iIiIjryiV8bil0Ad2olp6plp4VUy1QXPWoljJWFsd8RESktJRL5yMiIiVE4SMiIq4r6vAxxtxujFlnjJnXy/PGGPMrY8xCY8zbxpi9uj13qjHmw9zXqS7U8uVcDe8YY140xuzR7bklucffNMbMdaGWA40xTd1uX35Ft+eOMMYsyH1ml7hQy7e61THPGJM2xgzJPTfQn0u9MeYZY8x7xph3jTEX9DCNK8tMnrW4sszkWYsry0yetbi5zISMMa8YY97K1fPDHqYJGmPm5H7/l40x47s9993c4wuMMYdvbz2DirW2aL+AA4C9gHm9PH8k8Heyt+ueBbyce3wIsCj3b03u+xqHa9mnax7Ap7tqyf28BBjm4udyIPBID497gY+AiUAAeAuY4mQtW0x7FPC0g5/LKGCv3PcVwAdb/n5uLTN51uLKMpNnLa4sM/nU4vIyY4BY7ns/8DIwa4tpvgrclPv+RGBO7vspuc8jCEzIfU7egaqt3L+KuvOx1j4HbNrKJMcAv7dZLwHVxphRwOHAE9baTdbaBuAJYLvOHN5WLdbaF3PzAngJGLM989ueWrZiJrDQWrvIWpsA7iH7GbpVy0nA3dszv23Ustpa+3ru+xZgPjB6i8lcWWbyqcWtZSbPz6U3A7rM9KMWp5cZa61tzf3oz31tOQrrGODO3Pf3AwcbY0zu8XustXFr7WJgIdnPS/JQ1OGTh9HA8m4/r8g91tvjbjmD7NZ1Fws8box5zRhzlks1/E9uV8LfjTFTc48V7HMxxkTIrswf6PawY59LbtfInmS3ZLtzfZnZSi3dubLMbKMWV5eZbX0ubi0zxhivMeZNYB3ZDZBelxlrbQpoAoZS+PVMSfMVuoByY4w5iOyKZL9uD+9nrV1pjBkOPGGMeT/XMTjldWCctbbVGHMk8BCwo4Pzy8dRwAvW2u5dkiOfizEmRnaFdaG1tnl738/pWtxaZrZRi6vLTJ7/R64sM9baNDDNGFMNPGiM2dVa2+MxTBk4pd75rATqu/08JvdYb487yhizO3ArcIy1dmPX49balbl/1wEP4nBrbq1t7tqVYK19FPAbY4ZRoM8l50S22H3ixOdijPGTXan90Vr75x4mcW2ZyaMW15aZbdXi5jKTz+eS48oy0+29G4Fn+O/drZs/A2OMD6gCNlLYv6fSV+iDTtv6AsbT+4H1z/Dxg8ev5B4fAiwme+C4Jvf9EIdrGUt2n+8+WzweBSq6ff8icITDtYzkPycQzwSW5T4jH9kD6RP4z8HjqU7Wknu+iuxxoaiTn0vud/w98MutTOPKMpNnLa4sM3nW4soyk08tLi8ztUB17vsw8C/gs1tMcx4fH3Bwb+77qXx8wMEiNOAg76+i3u1mjLmb7CicYcaYFcD3yR4QxFp7E/Ao2dFLC4F24PTcc5uMMT8GXs291Y/sx1t3J2q5gux+4N9kj0WSstmr4I4g28pD9g/5T9baxxyu5XjgXGNMCugATrTZv5aUMeZrwD/IjmK63Vr7rsO1AHwOeNxa29btpQP+uQD7AqcA7+T24QNcSnYl7/Yyk08tbi0z+dTi1jKTTy3g3jIzCrjTGOMluyfoXmvtI8aYHwFzrbUPA7cBfzDGLCQbiCfman3XGHMv8B6QAs6z2V14kgddXkdERFxX6sd8RESkBCl8RETEdQofERFxncJHRERcp/ARERHXKXykLBhjnjXGzNjGNMcaY6Z0+/lHxphDnK9ORLak8JHB5FiyVyIGwFp7hbX2yQLWIzJoKXykaBljosaYv+UudjnPGHOCMeZgY8wbuXu63G6MCfbwutZu3x9vjLnDGLMPcDRwTe5eMDvkHj8+N12P72uy94/5oTHm9dxzO+ce/6T5zz1n3jDGVLjzqYiUB4WPFLMjgFXW2j2stbsCjwF3ACdYa3cje5b7ufm8kbX2ReBh4FvW2mnW2o+6njPGhLbxvhustXsBNwLfzD32TbJntE8D9id7VQARyZPCR4rZO8ChxpirjTH7k72G3GJr7Qe55+8kezO77bXTNt636+KXr+VqAHgBuN4Ycz7Za4OlBqAOkUFD4SNFKxcGe5ENoZ+QPWaT10u7fR8agFLiuX/T5G5DYq29CjiT7MUoX+jaHSci+VH4SNEyxtQB7dbau4BrgP8BxhtjJuUmOQX4Zw8vXWuM2cUY4yF7gcouLWRv3bylBXm+b/fadrDWvmOtvZrsxUgVPiJ9UNRXtZZBbzeyAwQyQJLscZgq4L7cfVVeBW7q4XWXAI8A64G5QCz3+D3Ab3O7yo7vmtha22mMOT2P9+3uwtxN4DLAu3z8LqQisg26qrWIiLhOu91ERMR1Ch8REXGdwkdERFyn8BEREdcpfERExHUKHxERcZ3CR0REXPf/AZU5JP7+4RJfAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Jointplot  \n",
        "data = sns.load_dataset(\"attention\")\n",
        "sns.jointplot(x = \"solutions\", y = \"score\",kind = \"hex\", data = data)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "046e1553",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "046e1553",
        "outputId": "138ec219-6b4e-4502-e03e-77eeb37ef19b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fe942726150>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# Kernel density plot\n",
        "tips=sns.load_dataset(\"tips\")\n",
        "sns.kdeplot(data=tips,x=\"total_bill\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "85fa5400",
      "metadata": {
        "id": "85fa5400"
      },
      "outputs": [],
      "source": [
        ""
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.2"
    },
    "colab": {
      "name": "39110394_JAGADEESH P{Assignment - 3}.ipynb",
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}