A9_Rachel_Jackson.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "A9-Rachel-Jackson.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "quQL6jyt5oaj",
        "outputId": "2082a538-007b-4be6-e757-4545b987a827",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 72
        }
      },
      "source": [
        "from google.colab import files \n",
        "uploaded = files.upload()\n"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-5997a950-6dd7-4812-987b-82f2add5ac05\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-5997a950-6dd7-4812-987b-82f2add5ac05\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving survey-1.csv to survey-1.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ELIMpBVtmMsh"
      },
      "source": [
        "import pandas as pd\n",
        "from matplotlib import pyplot as plt\n",
        "%matplotlib inline\n",
        "import seaborn as sns"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Gh0wGetxnK_4"
      },
      "source": [
        "import numpy as np\n",
        "df = pd.read_csv('survey-1.csv', index_col=0, na_values=[''])"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jtrFIPI0pBln",
        "outputId": "5cb9b9ee-6608-4855-d446-6f8f02dd156d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "df.dtypes"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Computer                object\n",
              "Phone                   object\n",
              "Sports                  object\n",
              "Major                   object\n",
              "Humor                   object\n",
              "R                       object\n",
              "SQL                     object\n",
              "Python                  object\n",
              "Programming             object\n",
              "Queso                   object\n",
              "Band                    object\n",
              "InstructorGreatness    float64\n",
              "Childhoot               object\n",
              "NextCity                object\n",
              "LikeMath                 int64\n",
              "Sleep                   object\n",
              "Late                    object\n",
              "Vegetarian              object\n",
              "Siblings                 int64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KfI0yZkdpw8b",
        "outputId": "a2ac7f31-f8d1-40ba-94b3-c185cf8d20cc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 475
        }
      },
      "source": [
        "sns.set()\n",
        "plt.figure()\n",
        "\n",
        "xyz = sns.barplot(data=df, x=\"Major\", y=\"LikeMath\", hue=\"Programming\", palette=['green', 'red'], saturation=0.5)\n",
        "xyz.set_title('Rating of Math by Major and Programming Experience')\n",
        "xyz.set_ylabel('Rating of Math (1-5)')\n",
        "xyz.set_xlabel(None)\n",
        "xyz.set_xticklabels(df[\"Major\"].unique().astype(str), rotation='vertical')\n",
        "plt.show()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "302x0fQysFT4",
        "outputId": "4a36e0de-5d96-42ca-824e-56a882274411",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 372
        }
      },
      "source": [
        "sns.set_color_codes(palette='bright')\n",
        "sns.distplot(df.Siblings, color=\"y\")\n",
        "plt.xlim(1,8)\n",
        "plt.title(\"Distribution of No. of Siblings\")"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
            "  warnings.warn(msg, FutureWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Distribution of No. of Siblings')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qQg0O5z3zPBg",
        "outputId": "3dd48c03-64f7-4563-ce4c-f7b5316e820e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        }
      },
      "source": [
        "sns.set_theme(style=\"ticks\")\n",
        "\n",
        "f, bx = plt.subplots(figsize=(8, 7))\n",
        "\n",
        "sns.boxplot(x=\"LikeMath\", y=\"Sports\", data=df, width=.6, palette=\"vlag\")\n",
        "sns.stripplot(x=\"LikeMath\", y=\"Sports\", data=df,\n",
        "              size=4, color=\".3\", linewidth=0)\n",
        "\n",
        "bx.xaxis.grid(True)\n",
        "bx.set_title('Rating of Math by Sports Fan')\n",
        "bx.set_xlabel('Rating of Math')\n",
        "bx.set_ylabel('Sports Fan')\n",
        "sns.despine(trim=True, left=True)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 576x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_-nP3j-r3Fo-",
        "outputId": "08abc920-d8de-4239-882b-1ee73175eea9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        }
      },
      "source": [
        "sns.set_theme(style=\"whitegrid\", palette=\"muted\")\n",
        "ax = sns.swarmplot(x=\"InstructorGreatness\", y=\"LikeMath\", data=df, hue='Python')\n",
        "ax.set_title('Instructor Greatness vs Math Rating given Python Experience')\n",
        "plt.tight_layout()\n",
        "ax.set_xlabel('Rating of Instructor Greatness')\n",
        "ax.set_ylabel('Rating of Math')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/seaborn/categorical.py:1296: UserWarning: 14.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
            "  warnings.warn(msg, UserWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(23.125, 0.5, 'Rating of Math')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}