001 Data_Exploration_College_Major.ipynb

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      "source": [
        "import pandas as pd"
      ]
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      "source": [
        "df = pd.read_csv('/content/003 salaries-by-college-major.csv')"
      ],
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        "df.head()"
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              "     Undergraduate Major  Starting Median Salary  Mid-Career Median Salary  \\\n",
              "0             Accounting                 46000.0                   77100.0   \n",
              "1  Aerospace Engineering                 57700.0                  101000.0   \n",
              "2            Agriculture                 42600.0                   71900.0   \n",
              "3           Anthropology                 36800.0                   61500.0   \n",
              "4           Architecture                 41600.0                   76800.0   \n",
              "\n",
              "   Mid-Career 10th Percentile Salary  Mid-Career 90th Percentile Salary  \\\n",
              "0                            42200.0                           152000.0   \n",
              "1                            64300.0                           161000.0   \n",
              "2                            36300.0                           150000.0   \n",
              "3                            33800.0                           138000.0   \n",
              "4                            50600.0                           136000.0   \n",
              "\n",
              "      Group  \n",
              "0  Business  \n",
              "1      STEM  \n",
              "2  Business  \n",
              "3      HASS  \n",
              "4  Business  "
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              "      <th>Undergraduate Major</th>\n",
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              "      <th>Mid-Career Median Salary</th>\n",
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              "      <td>Accounting</td>\n",
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              "      <td>Aerospace Engineering</td>\n",
              "      <td>57700.0</td>\n",
              "      <td>101000.0</td>\n",
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              "      <td>71900.0</td>\n",
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              "      <td>150000.0</td>\n",
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              "      <td>138000.0</td>\n",
              "      <td>HASS</td>\n",
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 51,\n  \"fields\": [\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 51,\n        \"samples\": [\n          \"Physician Assistant\",\n          \"Nursing\",\n          \"Psychology\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Starting Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9360.866216677312,\n        \"min\": 34000.0,\n        \"max\": 74300.0,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          39900.0,\n          43500.0,\n          35700.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16088.403860405488,\n        \"min\": 52000.0,\n        \"max\": 107000.0,\n        \"num_unique_values\": 49,\n        \"samples\": [\n          95500.0,\n          78200.0,\n          58200.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 10th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12000.779566514902,\n        \"min\": 26700.0,\n        \"max\": 71900.0,\n        \"num_unique_values\": 45,\n        \"samples\": [\n          66400.0,\n          36000.0,\n          34600.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 90th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 27851.249266671788,\n        \"min\": 96400.0,\n        \"max\": 210000.0,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          98300.0,\n          112000.0,\n          101000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Group\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Business\",\n          \"STEM\",\n          \"HASS\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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              "(51, 6)"
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              "Index(['Undergraduate Major', 'Starting Median Salary',\n",
              "       'Mid-Career Median Salary', 'Mid-Career 10th Percentile Salary',\n",
              "       'Mid-Career 90th Percentile Salary', 'Group'],\n",
              "      dtype='object')"
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            "text/plain": [
              "    Undergraduate Major  Starting Median Salary  Mid-Career Median Salary  \\\n",
              "0                 False                   False                     False   \n",
              "1                 False                   False                     False   \n",
              "2                 False                   False                     False   \n",
              "3                 False                   False                     False   \n",
              "4                 False                   False                     False   \n",
              "5                 False                   False                     False   \n",
              "6                 False                   False                     False   \n",
              "7                 False                   False                     False   \n",
              "8                 False                   False                     False   \n",
              "9                 False                   False                     False   \n",
              "10                False                   False                     False   \n",
              "11                False                   False                     False   \n",
              "12                False                   False                     False   \n",
              "13                False                   False                     False   \n",
              "14                False                   False                     False   \n",
              "15                False                   False                     False   \n",
              "16                False                   False                     False   \n",
              "17                False                   False                     False   \n",
              "18                False                   False                     False   \n",
              "19                False                   False                     False   \n",
              "20                False                   False                     False   \n",
              "21                False                   False                     False   \n",
              "22                False                   False                     False   \n",
              "23                False                   False                     False   \n",
              "24                False                   False                     False   \n",
              "25                False                   False                     False   \n",
              "26                False                   False                     False   \n",
              "27                False                   False                     False   \n",
              "28                False                   False                     False   \n",
              "29                False                   False                     False   \n",
              "30                False                   False                     False   \n",
              "31                False                   False                     False   \n",
              "32                False                   False                     False   \n",
              "33                False                   False                     False   \n",
              "34                False                   False                     False   \n",
              "35                False                   False                     False   \n",
              "36                False                   False                     False   \n",
              "37                False                   False                     False   \n",
              "38                False                   False                     False   \n",
              "39                False                   False                     False   \n",
              "40                False                   False                     False   \n",
              "41                False                   False                     False   \n",
              "42                False                   False                     False   \n",
              "43                False                   False                     False   \n",
              "44                False                   False                     False   \n",
              "45                False                   False                     False   \n",
              "46                False                   False                     False   \n",
              "47                False                   False                     False   \n",
              "48                False                   False                     False   \n",
              "49                False                   False                     False   \n",
              "50                False                    True                      True   \n",
              "\n",
              "    Mid-Career 10th Percentile Salary  Mid-Career 90th Percentile Salary  \\\n",
              "0                               False                              False   \n",
              "1                               False                              False   \n",
              "2                               False                              False   \n",
              "3                               False                              False   \n",
              "4                               False                              False   \n",
              "5                               False                              False   \n",
              "6                               False                              False   \n",
              "7                               False                              False   \n",
              "8                               False                              False   \n",
              "9                               False                              False   \n",
              "10                              False                              False   \n",
              "11                              False                              False   \n",
              "12                              False                              False   \n",
              "13                              False                              False   \n",
              "14                              False                              False   \n",
              "15                              False                              False   \n",
              "16                              False                              False   \n",
              "17                              False                              False   \n",
              "18                              False                              False   \n",
              "19                              False                              False   \n",
              "20                              False                              False   \n",
              "21                              False                              False   \n",
              "22                              False                              False   \n",
              "23                              False                              False   \n",
              "24                              False                              False   \n",
              "25                              False                              False   \n",
              "26                              False                              False   \n",
              "27                              False                              False   \n",
              "28                              False                              False   \n",
              "29                              False                              False   \n",
              "30                              False                              False   \n",
              "31                              False                              False   \n",
              "32                              False                              False   \n",
              "33                              False                              False   \n",
              "34                              False                              False   \n",
              "35                              False                              False   \n",
              "36                              False                              False   \n",
              "37                              False                              False   \n",
              "38                              False                              False   \n",
              "39                              False                              False   \n",
              "40                              False                              False   \n",
              "41                              False                              False   \n",
              "42                              False                              False   \n",
              "43                              False                              False   \n",
              "44                              False                              False   \n",
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              "\n",
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              "36  False  \n",
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              "40  False  \n",
              "41  False  \n",
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              "    [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-9b4eca88-2cdf-409c-92f1-0b5d8fcaf752 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-9b4eca88-2cdf-409c-92f1-0b5d8fcaf752');\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-e57efda3-3c24-427a-8e16-4905bda6d1a1\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e57efda3-3c24-427a-8e16-4905bda6d1a1')\"\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",
              "        <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-e57efda3-3c24-427a-8e16-4905bda6d1a1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 51,\n  \"fields\": [\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Starting Median Salary\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career Median Salary\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 10th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 90th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Group\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "id": "5FKqokKCw1B3",
        "outputId": "66b96d28-8f90-4b4e-e9ff-2b5e6bfef0d3"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Undergraduate Major  Starting Median Salary  Mid-Career Median Salary  \\\n",
              "46             Psychology                 35900.0                   60400.0   \n",
              "47               Religion                 34100.0                   52000.0   \n",
              "48              Sociology                 36500.0                   58200.0   \n",
              "49                Spanish                 34000.0                   53100.0   \n",
              "50  Source: PayScale Inc.                     NaN                       NaN   \n",
              "\n",
              "    Mid-Career 10th Percentile Salary  Mid-Career 90th Percentile Salary Group  \n",
              "46                            31600.0                           127000.0  HASS  \n",
              "47                            29700.0                            96400.0  HASS  \n",
              "48                            30700.0                           118000.0  HASS  \n",
              "49                            31000.0                            96400.0  HASS  \n",
              "50                                NaN                                NaN   NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6ef25b39-04ac-40e5-b818-7a52eaf54e6e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "        vertical-align: top;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Undergraduate Major</th>\n",
              "      <th>Starting Median Salary</th>\n",
              "      <th>Mid-Career Median Salary</th>\n",
              "      <th>Mid-Career 10th Percentile Salary</th>\n",
              "      <th>Mid-Career 90th Percentile Salary</th>\n",
              "      <th>Group</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>Psychology</td>\n",
              "      <td>35900.0</td>\n",
              "      <td>60400.0</td>\n",
              "      <td>31600.0</td>\n",
              "      <td>127000.0</td>\n",
              "      <td>HASS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Religion</td>\n",
              "      <td>34100.0</td>\n",
              "      <td>52000.0</td>\n",
              "      <td>29700.0</td>\n",
              "      <td>96400.0</td>\n",
              "      <td>HASS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>Sociology</td>\n",
              "      <td>36500.0</td>\n",
              "      <td>58200.0</td>\n",
              "      <td>30700.0</td>\n",
              "      <td>118000.0</td>\n",
              "      <td>HASS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>Spanish</td>\n",
              "      <td>34000.0</td>\n",
              "      <td>53100.0</td>\n",
              "      <td>31000.0</td>\n",
              "      <td>96400.0</td>\n",
              "      <td>HASS</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50</th>\n",
              "      <td>Source: PayScale Inc.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</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-6ef25b39-04ac-40e5-b818-7a52eaf54e6e')\"\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-6ef25b39-04ac-40e5-b818-7a52eaf54e6e 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-6ef25b39-04ac-40e5-b818-7a52eaf54e6e');\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-e509a753-6ca5-4bd5-b123-01044c4ef842\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e509a753-6ca5-4bd5-b123-01044c4ef842')\"\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",
              "    }\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-e509a753-6ca5-4bd5-b123-01044c4ef842 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df = df.dropna()"
      ],
      "metadata": {
        "id": "sYukyx7RxAp0"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 223
        },
        "id": "X-48XPpvxpHa",
        "outputId": "2f339cfd-9f13-4494-8636-4b21890a2afe"
      },
      "execution_count": 11,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "   Undergraduate Major  Starting Median Salary  Mid-Career Median Salary  \\\n",
              "45   Political Science                 40800.0                   78200.0   \n",
              "46          Psychology                 35900.0                   60400.0   \n",
              "47            Religion                 34100.0                   52000.0   \n",
              "48           Sociology                 36500.0                   58200.0   \n",
              "49             Spanish                 34000.0                   53100.0   \n",
              "\n",
              "    Mid-Career 10th Percentile Salary  Mid-Career 90th Percentile Salary Group  \n",
              "45                            41200.0                           168000.0  HASS  \n",
              "46                            31600.0                           127000.0  HASS  \n",
              "47                            29700.0                            96400.0  HASS  \n",
              "48                            30700.0                           118000.0  HASS  \n",
              "49                            31000.0                            96400.0  HASS  "
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            "application/vnd.google.colaboratory.intrinsic+json": {
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              "summary": "{\n  \"name\": \"clean_df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Psychology\",\n          \"Spanish\",\n          \"Religion\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Starting Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2764.597619907823,\n        \"min\": 34000.0,\n        \"max\": 40800.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          35900.0,\n          34000.0,\n          34100.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10553.767099950614,\n        \"min\": 52000.0,\n        \"max\": 78200.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          60400.0,\n          53100.0,\n          52000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 10th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4723.6638322387,\n        \"min\": 29700.0,\n        \"max\": 41200.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          31600.0,\n          31000.0,\n          29700.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 90th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29428.693481022903,\n        \"min\": 96400.0,\n        \"max\": 168000.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          127000.0,\n          118000.0,\n          168000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Group\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"HASS\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
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    {
      "cell_type": "code",
      "source": [
        "clean_df['Starting Median Salary']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4Y8pZeHYxr9x",
        "outputId": "1dbd1407-eedf-4abd-a44e-7ffa6bd777a9"
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      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     46000.0\n",
              "1     57700.0\n",
              "2     42600.0\n",
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              "4     41600.0\n",
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              "48    36500.0\n",
              "49    34000.0\n",
              "Name: Starting Median Salary, dtype: float64"
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          "metadata": {},
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      "cell_type": "code",
      "source": [
        "clean_df['Starting Median Salary'].max()"
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        "id": "SIaS7aPvyLPm",
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      "outputs": [
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          "output_type": "execute_result",
          "data": {
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              "74300.0"
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          "metadata": {},
          "execution_count": 13
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      "cell_type": "code",
      "source": [
        "clean_df['Starting Median Salary'].idxmax()"
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      "metadata": {
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        },
        "id": "V55A9tQ-y0RL",
        "outputId": "92e6a9ce-a0f5-4f4a-e7b0-1e5330ad55c7"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "43"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
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    {
      "cell_type": "code",
      "source": [
        "clean_df['Undergraduate Major'].loc[43]"
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      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "K5p6ussmzBWx",
        "outputId": "dece8e95-6a6c-48cc-8d97-f3cf6d86174b"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Physician Assistant'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df['Undergraduate Major'][43]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "U19hPvxozlog",
        "outputId": "c9afb505-1d5a-4c9a-80d3-749cda7ee713"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Physician Assistant'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df.loc[43]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BMyX1mt0ztvc",
        "outputId": "23383b09-b05d-4d10-ddb9-69d1ac1be016"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Undergraduate Major                  Physician Assistant\n",
              "Starting Median Salary                           74300.0\n",
              "Mid-Career Median Salary                         91700.0\n",
              "Mid-Career 10th Percentile Salary                66400.0\n",
              "Mid-Career 90th Percentile Salary               124000.0\n",
              "Group                                               STEM\n",
              "Name: 43, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df['Mid-Career Median Salary'].idxmax()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h8zVxK401VkL",
        "outputId": "821ed2c9-21a2-4a1c-becc-2eddf11e3d4c"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df['Undergraduate Major'].loc[8]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "_zTZU2u2186y",
        "outputId": "49f125e6-9ea5-425b-dc5f-d8275b343409"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Chemical Engineering'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Chemical Engineering havd the highest mid career salary"
      ],
      "metadata": {
        "id": "cPBSlcsp2DcL"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df.loc[8]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7mQf5Ajj2MBY",
        "outputId": "4c82b9f1-816d-4892-fd5d-029725b6e903"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Undergraduate Major                  Chemical Engineering\n",
              "Starting Median Salary                            63200.0\n",
              "Mid-Career Median Salary                         107000.0\n",
              "Mid-Career 10th Percentile Salary                 71900.0\n",
              "Mid-Career 90th Percentile Salary                194000.0\n",
              "Group                                                STEM\n",
              "Name: 8, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df['Starting Median Salary'].idxmin()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FkzZWbX12P6t",
        "outputId": "4957b9bc-728b-47bd-e7a4-9841fb50d9de"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "49"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df['Undergraduate Major'].loc[49]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "60tU6qyc2qe9",
        "outputId": "026fa4f0-e395-48f8-c3a6-5a2395d41628"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Spanish'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df.loc[49]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wNlR5cT42yZ4",
        "outputId": "eb70b4f3-0380-4e1d-8d9d-24578e207f11"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Undergraduate Major                  Spanish\n",
              "Starting Median Salary               34000.0\n",
              "Mid-Career Median Salary             53100.0\n",
              "Mid-Career 10th Percentile Salary    31000.0\n",
              "Mid-Career 90th Percentile Salary    96400.0\n",
              "Group                                   HASS\n",
              "Name: 49, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Spanish has the lowest starting salary"
      ],
      "metadata": {
        "id": "arVmH6jq213E"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df['Mid-Career Median Salary'].idxmin()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aPpWppz9263W",
        "outputId": "87d546fd-943b-4255-f9b4-9ead4fc5f7a2"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "18"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df['Undergraduate Major'].loc[18]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "5qejl1Jj3DyO",
        "outputId": "2713d028-7b76-4d09-a6f8-5d9aeca4d296"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Education'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df.loc[18]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nfGrG4Dz3H0p",
        "outputId": "194ac91d-e290-478a-d227-b1c6e0ecbf52"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Undergraduate Major                  Education\n",
              "Starting Median Salary                 34900.0\n",
              "Mid-Career Median Salary               52000.0\n",
              "Mid-Career 10th Percentile Salary      29300.0\n",
              "Mid-Career 90th Percentile Salary     102000.0\n",
              "Group                                     HASS\n",
              "Name: 18, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Education has the lower mid career salary"
      ],
      "metadata": {
        "id": "GOP9jOD63K5g"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df['Mid-Career 90th Percentile Salary'] - clean_df['Mid-Career 10th Percentile Salary']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J48APez73ShY",
        "outputId": "458b0804-dc9c-4ada-be8a-cd621a459d67"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     109800.0\n",
              "1      96700.0\n",
              "2     113700.0\n",
              "3     104200.0\n",
              "4      85400.0\n",
              "5      96200.0\n",
              "6      98100.0\n",
              "7     108200.0\n",
              "8     122100.0\n",
              "9     102700.0\n",
              "10     84600.0\n",
              "11    105500.0\n",
              "12     95900.0\n",
              "13     98000.0\n",
              "14    114700.0\n",
              "15     74800.0\n",
              "16    116300.0\n",
              "17    159400.0\n",
              "18     72700.0\n",
              "19     98700.0\n",
              "20     99600.0\n",
              "21    102100.0\n",
              "22    147800.0\n",
              "23     70000.0\n",
              "24     92000.0\n",
              "25    111000.0\n",
              "26     76000.0\n",
              "27     66400.0\n",
              "28    112000.0\n",
              "29     88500.0\n",
              "30    115900.0\n",
              "31     84500.0\n",
              "32     71300.0\n",
              "33    118800.0\n",
              "34    106600.0\n",
              "35    100700.0\n",
              "36    132900.0\n",
              "37    137800.0\n",
              "38     99300.0\n",
              "39    107300.0\n",
              "40     50700.0\n",
              "41     65300.0\n",
              "42    132500.0\n",
              "43     57600.0\n",
              "44    122000.0\n",
              "45    126800.0\n",
              "46     95400.0\n",
              "47     66700.0\n",
              "48     87300.0\n",
              "49     65400.0\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
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    },
    {
      "cell_type": "code",
      "source": [
        "spread_col = clean_df['Mid-Career 90th Percentile Salary'] - clean_df['Mid-Career 10th Percentile Salary']\n",
        "clean_df.insert(1, 'Spread', spread_col)\n",
        "clean_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        },
        "id": "Gk2oBmiU6PTu",
        "outputId": "5dfc5e8d-fb47-4570-94d1-b83ca2d8ec91"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Undergraduate Major    Spread  Starting Median Salary  \\\n",
              "0             Accounting  109800.0                 46000.0   \n",
              "1  Aerospace Engineering   96700.0                 57700.0   \n",
              "2            Agriculture  113700.0                 42600.0   \n",
              "3           Anthropology  104200.0                 36800.0   \n",
              "4           Architecture   85400.0                 41600.0   \n",
              "\n",
              "   Mid-Career Median Salary  Mid-Career 10th Percentile Salary  \\\n",
              "0                   77100.0                            42200.0   \n",
              "1                  101000.0                            64300.0   \n",
              "2                   71900.0                            36300.0   \n",
              "3                   61500.0                            33800.0   \n",
              "4                   76800.0                            50600.0   \n",
              "\n",
              "   Mid-Career 90th Percentile Salary     Group  \n",
              "0                           152000.0  Business  \n",
              "1                           161000.0      STEM  \n",
              "2                           150000.0  Business  \n",
              "3                           138000.0      HASS  \n",
              "4                           136000.0  Business  "
            ],
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              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "\n",
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              "    background-color: var(--hover-bg-color);\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
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              "\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "\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",
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              "        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",
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              "    (() => {\n",
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              "</div>\n",
              "\n",
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              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "clean_df",
              "summary": "{\n  \"name\": \"clean_df\",\n  \"rows\": 50,\n  \"fields\": [\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"Computer Science\",\n          \"Music\",\n          \"Industrial Engineering\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Spread\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 23290.71015645158,\n        \"min\": 50700.0,\n        \"max\": 159400.0,\n        \"num_unique_values\": 50,\n        \"samples\": [\n          98000.0,\n          107300.0,\n          115900.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Starting Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9360.866216677312,\n        \"min\": 34000.0,\n        \"max\": 74300.0,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          39900.0,\n          43500.0,\n          35700.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16088.403860405488,\n        \"min\": 52000.0,\n        \"max\": 107000.0,\n        \"num_unique_values\": 49,\n        \"samples\": [\n          95500.0,\n          78200.0,\n          58200.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 10th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12000.779566514902,\n        \"min\": 26700.0,\n        \"max\": 71900.0,\n        \"num_unique_values\": 45,\n        \"samples\": [\n          66400.0,\n          36000.0,\n          34600.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 90th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 27851.249266671788,\n        \"min\": 96400.0,\n        \"max\": 210000.0,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          98300.0,\n          112000.0,\n          101000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Group\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Business\",\n          \"STEM\",\n          \"HASS\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "low_risk = clean_df.sort_values('Spread')"
      ],
      "metadata": {
        "id": "YD2dqGqW7V6P"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "low_risk = clean_df.sort_values('Spread')\n",
        "low_risk[['Undergraduate Major', 'Spread']].head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "3g1eOBQ_8Go0",
        "outputId": "18cd7809-0d26-49a8-9594-78e0d5351711"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           Undergraduate Major   Spread\n",
              "40                     Nursing  50700.0\n",
              "43         Physician Assistant  57600.0\n",
              "41                   Nutrition  65300.0\n",
              "49                     Spanish  65400.0\n",
              "27  Health Care Administration  66400.0"
            ],
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              "      <th>41</th>\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"low_risk[['Undergraduate Major', 'Spread']]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Physician Assistant\",\n          \"Health Care Administration\",\n          \"Nutrition\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Spread\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6793.894317694381,\n        \"min\": 50700.0,\n        \"max\": 66400.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          57600.0,\n          66400.0,\n          65300.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "high_potential = clean_df.sort_values('Mid-Career 90th Percentile Salary')\n",
        "high_potential[['Undergraduate Major', 'Mid-Career 90th Percentile Salary']].head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "HbSU1NtY8ZsK",
        "outputId": "d8b07770-2e55-4521-a71c-b860a747dfff"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "           Undergraduate Major  Mid-Career 90th Percentile Salary\n",
              "49                     Spanish                            96400.0\n",
              "47                    Religion                            96400.0\n",
              "40                     Nursing                            98300.0\n",
              "41                   Nutrition                            99200.0\n",
              "27  Health Care Administration                           101000.0"
            ],
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              "\n",
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              "  <thead>\n",
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              "      <th>Undergraduate Major</th>\n",
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              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>Religion</td>\n",
              "      <td>96400.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>Nursing</td>\n",
              "      <td>98300.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>Nutrition</td>\n",
              "      <td>99200.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Health Care Administration</td>\n",
              "      <td>101000.0</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-dfaf0850-63ea-4ca1-a450-dc771e2ec987')\"\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",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </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-dfaf0850-63ea-4ca1-a450-dc771e2ec987 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-dfaf0850-63ea-4ca1-a450-dc771e2ec987');\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-0a80b06f-4886-4bbd-9712-098cddd93d0e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0a80b06f-4886-4bbd-9712-098cddd93d0e')\"\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",
              "        <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-0a80b06f-4886-4bbd-9712-098cddd93d0e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"high_potential[['Undergraduate Major', 'Mid-Career 90th Percentile Salary']]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Religion\",\n          \"Health Care Administration\",\n          \"Nursing\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 90th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1956.5275362232958,\n        \"min\": 96400.0,\n        \"max\": 101000.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          98300.0,\n          101000.0,\n          96400.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "high_potential = clean_df.sort_values('Mid-Career 90th Percentile Salary', ascending=False)\n",
        "high_potential[['Undergraduate Major', 'Mid-Career 90th Percentile Salary']].head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "79BSzKji9GcK",
        "outputId": "3aa2757a-5c75-4803-f211-b5cc830debe0"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Undergraduate Major  Mid-Career 90th Percentile Salary\n",
              "17             Economics                           210000.0\n",
              "22               Finance                           195000.0\n",
              "8   Chemical Engineering                           194000.0\n",
              "37                  Math                           183000.0\n",
              "44               Physics                           178000.0"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-232e9201-d25b-4904-8a19-da5af7619dcc\" class=\"colab-df-container\">\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "      <th></th>\n",
              "      <th>Undergraduate Major</th>\n",
              "      <th>Mid-Career 90th Percentile Salary</th>\n",
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              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Economics</td>\n",
              "      <td>210000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Finance</td>\n",
              "      <td>195000.0</td>\n",
              "    </tr>\n",
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              "      <th>8</th>\n",
              "      <td>Chemical Engineering</td>\n",
              "      <td>194000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>Math</td>\n",
              "      <td>183000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>Physics</td>\n",
              "      <td>178000.0</td>\n",
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              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "        document.querySelector('#df-232e9201-d25b-4904-8a19-da5af7619dcc button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const element = document.querySelector('#df-232e9201-d25b-4904-8a19-da5af7619dcc');\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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              "            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",
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              "\n",
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              "      --fill-color: #D2E3FC;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "\n",
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              "    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",
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              "        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",
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              "        document.querySelector('#df-6674ca98-2f79-4f7f-a965-20932bce15ac button');\n",
              "      quickchartButtonEl.style.display =\n",
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              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"high_potential[['Undergraduate Major', 'Mid-Career 90th Percentile Salary']]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Finance\",\n          \"Physics\",\n          \"Chemical Engineering\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 90th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12389.511693363867,\n        \"min\": 178000.0,\n        \"max\": 210000.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          195000.0,\n          178000.0,\n          194000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "high_risk = clean_df.sort_values('Spread', ascending=False)\n",
        "high_risk[['Undergraduate Major', 'Spread']].head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "ROtGfwIe9TrQ",
        "outputId": "678f4b85-c2d1-4ae5-9430-62e70400501d"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Undergraduate Major    Spread\n",
              "17           Economics  159400.0\n",
              "22             Finance  147800.0\n",
              "37                Math  137800.0\n",
              "36           Marketing  132900.0\n",
              "42          Philosophy  132500.0"
            ],
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const element = document.querySelector('#df-c56e92e0-ed1e-4ff1-a8af-fde1a4a1bb73');\n",
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              "                                                    [key], {});\n",
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              "\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",
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              "      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",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"high_risk[['Undergraduate Major', 'Spread']]\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Finance\",\n          \"Philosophy\",\n          \"Math\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Spread\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 11478.980790993597,\n        \"min\": 132500.0,\n        \"max\": 159400.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          147800.0,\n          132500.0,\n          137800.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df.groupby('Group').count()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 192
        },
        "id": "w2Vi0dC69qzI",
        "outputId": "7624d028-ea85-4e46-8bc1-20dc6eca7037"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          Undergraduate Major  Spread  Starting Median Salary  \\\n",
              "Group                                                           \n",
              "Business                   12      12                      12   \n",
              "HASS                       22      22                      22   \n",
              "STEM                       16      16                      16   \n",
              "\n",
              "          Mid-Career Median Salary  Mid-Career 10th Percentile Salary  \\\n",
              "Group                                                                   \n",
              "Business                        12                                 12   \n",
              "HASS                            22                                 22   \n",
              "STEM                            16                                 16   \n",
              "\n",
              "          Mid-Career 90th Percentile Salary  \n",
              "Group                                        \n",
              "Business                                 12  \n",
              "HASS                                     22  \n",
              "STEM                                     16  "
            ],
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              "\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-ada3344c-dd40-4d4f-9c7f-4f787f9c4e26\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ada3344c-dd40-4d4f-9c7f-4f787f9c4e26')\"\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",
              "        <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-ada3344c-dd40-4d4f-9c7f-4f787f9c4e26 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"clean_df\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"Group\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Business\",\n          \"HASS\",\n          \"STEM\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Undergraduate Major\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 12,\n        \"max\": 22,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          12,\n          22,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Spread\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 12,\n        \"max\": 22,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          12,\n          22,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Starting Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 12,\n        \"max\": 22,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          12,\n          22,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 12,\n        \"max\": 22,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          12,\n          22,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 10th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 12,\n        \"max\": 22,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          12,\n          22,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 90th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 12,\n        \"max\": 22,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          12,\n          22,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "clean_df.groupby('Group')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sZa7pvTh-yVt",
        "outputId": "2a9f913c-d40a-4caf-d927-593b8031cd11"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x7f3cad5703a0>"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "umVjc8IXAWXZ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "VYZ2t68bAX0J"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "y9Z8EqgcBuAy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pd.options.display.float_format = '{:,.2f}'.format\n",
        "clean_df.groupby('Group')[['Starting Median Salary', 'Spread', 'Mid-Career Median Salary', 'Mid-Career 10th Percentile Salary', 'Mid-Career 90th Percentile Salary']].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 174
        },
        "id": "ZP1h1llz_A6t",
        "outputId": "dbc50a36-f65d-41da-a192-9405da184674"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          Starting Median Salary     Spread  Mid-Career Median Salary  \\\n",
              "Group                                                                   \n",
              "Business               44,633.33 103,958.33                 75,083.33   \n",
              "HASS                   37,186.36  95,218.18                 62,968.18   \n",
              "STEM                   53,862.50 101,600.00                 90,812.50   \n",
              "\n",
              "          Mid-Career 10th Percentile Salary  Mid-Career 90th Percentile Salary  \n",
              "Group                                                                           \n",
              "Business                          43,566.67                         147,525.00  \n",
              "HASS                              34,145.45                         129,363.64  \n",
              "STEM                              56,025.00                         157,625.00  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-14d53f5c-eb34-4838-b494-e02633509d0f\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Starting Median Salary</th>\n",
              "      <th>Spread</th>\n",
              "      <th>Mid-Career Median Salary</th>\n",
              "      <th>Mid-Career 10th Percentile Salary</th>\n",
              "      <th>Mid-Career 90th Percentile Salary</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Business</th>\n",
              "      <td>44,633.33</td>\n",
              "      <td>103,958.33</td>\n",
              "      <td>75,083.33</td>\n",
              "      <td>43,566.67</td>\n",
              "      <td>147,525.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HASS</th>\n",
              "      <td>37,186.36</td>\n",
              "      <td>95,218.18</td>\n",
              "      <td>62,968.18</td>\n",
              "      <td>34,145.45</td>\n",
              "      <td>129,363.64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>STEM</th>\n",
              "      <td>53,862.50</td>\n",
              "      <td>101,600.00</td>\n",
              "      <td>90,812.50</td>\n",
              "      <td>56,025.00</td>\n",
              "      <td>157,625.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-14d53f5c-eb34-4838-b494-e02633509d0f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "    </button>\n",
              "\n",
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              "    .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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              "      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-14d53f5c-eb34-4838-b494-e02633509d0f 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-14d53f5c-eb34-4838-b494-e02633509d0f');\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",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
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              "            title=\"Suggest charts\"\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",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-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",
              "    }\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-3e666345-dcc4-4817-b27a-828b5b6225b0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"clean_df\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"Group\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Business\",\n          \"HASS\",\n          \"STEM\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Starting Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8353.925215602652,\n        \"min\": 37186.36363636364,\n        \"max\": 53862.5,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          44633.333333333336,\n          37186.36363636364,\n          53862.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Spread\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4521.7914577576685,\n        \"min\": 95218.18181818182,\n        \"max\": 103958.33333333333,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          103958.33333333333,\n          95218.18181818182,\n          101600.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career Median Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 13961.194046792623,\n        \"min\": 62968.181818181816,\n        \"max\": 90812.5,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          75083.33333333333,\n          62968.181818181816,\n          90812.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 10th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10974.84864417151,\n        \"min\": 34145.454545454544,\n        \"max\": 56025.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          43566.666666666664,\n          34145.454545454544,\n          56025.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Mid-Career 90th Percentile Salary\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14321.020702211417,\n        \"min\": 129363.63636363637,\n        \"max\": 157625.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          147525.0,\n          129363.63636363637,\n          157625.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "DLQtfEzxAJ1w"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}