create_harmony_crosswalks_in_python.ipynb

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      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/harmonydata/harmony_examples/blob/main/create_harmony_crosswalks_in_python.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "![The Harmony Project logo](https://raw.githubusercontent.com/harmonydata/brand/main/Logo/PNG/%D0%BB%D0%BE%D0%B3%D0%BE%20%D1%84%D1%83%D0%BB-05.png)\n",
        "\n",
        "<a href=\"https://harmonydata.ac.uk\"><span align=\"left\">🌐 harmonydata.ac.uk</span></a>\n",
        "<a href=\"https://github.com/harmonydata/harmony\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/github-mark.svg\" alt=\"Harmony Python package | Github\" width=\"21px\"/></a>\n",
        "<a href=\"https://www.linkedin.com/company/harmonydata\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/linkedin.svg\" alt=\"Harmony | LinkedIn\" width=\"21px\"/></a>\n",
        "<a href=\"https://twitter.com/harmony_data\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/x.svg\" alt=\"Harmony | X\" width=\"21px\"/></a>\n",
        "<a href=\"https://www.instagram.com/harmonydata/\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/instagram.svg\" alt=\"Harmony | Instagram\" width=\"21px\"/></a>\n",
        "<a href=\"https://www.facebook.com/people/Harmony-Project/100086772661697/\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/fb.svg\" alt=\"Harmony | Facebook\" width=\"21px\"/></a>\n",
        "<a href=\"https://www.youtube.com/channel/UCraLlfBr0jXwap41oQ763OQ\"><img align=\"left\" src=\"https://raw.githubusercontent.com//harmonydata/.github/main/profile/yt.svg\" alt=\"Harmony | YouTube\" width=\"21px\"/></a>\n",
        "\n",
        "# Harmony example: generating crosswalk table\n",
        "## Install Harmony"
      ],
      "metadata": {
        "id": "dT5ZatxoBKeC"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_81WLaON-6PT",
        "outputId": "f9142fa2-3286-4b2a-a8c1-cd5779269227"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'harmony'...\n",
            "remote: Enumerating objects: 5210, done.\u001b[K\n",
            "remote: Counting objects: 100% (375/375), done.\u001b[K\n",
            "remote: Compressing objects: 100% (145/145), done.\u001b[K\n",
            "remote: Total 5210 (delta 244), reused 297 (delta 208), pack-reused 4835 (from 1)\u001b[K\n",
            "Receiving objects: 100% (5210/5210), 23.76 MiB | 8.33 MiB/s, done.\n",
            "Resolving deltas: 100% (2250/2250), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/harmonydata/harmony.git"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "jUR-CMUl_8zz"
      },
      "execution_count": 1,
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    },
    {
      "cell_type": "code",
      "source": [
        "!cd harmony/; pip install ."
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/"
        },
        "id": "kZ_Lb1-q-6ue",
        "outputId": "ba6ee728-6a51-4d49-e20d-5aefcda3ce6a"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Processing /content/harmony\n",
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            "\u001b[?25hBuilding wheels for collected packages: harmonydata, langdetect, sentence-transformers, tika, wget\n",
            "  Building wheel for harmonydata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for harmonydata: filename=harmonydata-1.0.0-py3-none-any.whl size=151243 sha256=35eed5902f89cb50f23cba3e21736f71620e5ddf4d96f12f1442e48c6690fd78\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-t7o57tkq/wheels/b1/31/85/919c00bb6db5d1143572e5e84f62e0d990a60bae6e4902e6a9\n",
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            "  Stored in directory: /root/.cache/pip/wheels/95/03/7d/59ea870c70ce4e5a370638b5462a7711ab78fba2f655d05106\n",
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            "  Created wheel for sentence-transformers: filename=sentence_transformers-2.2.2-py3-none-any.whl size=125924 sha256=347625154b55f29230c9f9fadaaf74d68bc61843f94d5b1d6235445c2137b4ae\n",
            "  Stored in directory: /root/.cache/pip/wheels/62/f2/10/1e606fd5f02395388f74e7462910fe851042f97238cbbd902f\n",
            "  Building wheel for tika (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for tika: filename=tika-2.6.0-py3-none-any.whl size=32624 sha256=aeb52b04251b45ea53d8b00dafa389840fa66f9da5ea111c52c32d31e287e1bf\n",
            "  Stored in directory: /root/.cache/pip/wheels/5f/71/c7/b757709531121b1700cffda5b6b0d4aad095fb507ec84316d0\n",
            "  Building wheel for wget (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for wget: filename=wget-3.2-py3-none-any.whl size=9656 sha256=e56d558564576e1f6de169f1ac3e6e53f2d48c58b300a054f5d30513bfddee6d\n",
            "  Stored in directory: /root/.cache/pip/wheels/8b/f1/7f/5c94f0a7a505ca1c81cd1d9208ae2064675d97582078e6c769\n",
            "Successfully built harmonydata langdetect sentence-transformers tika wget\n",
            "Installing collected packages: wget, XlsxWriter, scipy, python-crfsuite, pydantic-core, openpyxl, lxml, langdetect, tika, pydantic, huggingface-hub, sklearn-crfsuite, sentence-transformers, harmonydata\n",
            "  Attempting uninstall: scipy\n",
            "    Found existing installation: scipy 1.13.1\n",
            "    Uninstalling scipy-1.13.1:\n",
            "      Successfully uninstalled scipy-1.13.1\n",
            "  Attempting uninstall: pydantic-core\n",
            "    Found existing installation: pydantic_core 2.23.4\n",
            "    Uninstalling pydantic_core-2.23.4:\n",
            "      Successfully uninstalled pydantic_core-2.23.4\n",
            "  Attempting uninstall: openpyxl\n",
            "    Found existing installation: openpyxl 3.1.5\n",
            "    Uninstalling openpyxl-3.1.5:\n",
            "      Successfully uninstalled openpyxl-3.1.5\n",
            "  Attempting uninstall: lxml\n",
            "    Found existing installation: lxml 5.3.0\n",
            "    Uninstalling lxml-5.3.0:\n",
            "      Successfully uninstalled lxml-5.3.0\n",
            "  Attempting uninstall: pydantic\n",
            "    Found existing installation: pydantic 2.9.2\n",
            "    Uninstalling pydantic-2.9.2:\n",
            "      Successfully uninstalled pydantic-2.9.2\n",
            "  Attempting uninstall: huggingface-hub\n",
            "    Found existing installation: huggingface-hub 0.26.2\n",
            "    Uninstalling huggingface-hub-0.26.2:\n",
            "      Successfully uninstalled huggingface-hub-0.26.2\n",
            "  Attempting uninstall: sentence-transformers\n",
            "    Found existing installation: sentence-transformers 3.2.1\n",
            "    Uninstalling sentence-transformers-3.2.1:\n",
            "      Successfully uninstalled sentence-transformers-3.2.1\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "gensim 4.3.3 requires scipy<1.14.0,>=1.7.0, but you have scipy 1.14.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed XlsxWriter-3.0.9 harmonydata-1.0.0 huggingface-hub-0.25.0 langdetect-1.0.9 lxml-4.9.2 openpyxl-3.1.2 pydantic-2.8.2 pydantic-core-2.20.1 python-crfsuite-0.9.11 scipy-1.14.1 sentence-transformers-2.2.2 sklearn-crfsuite-0.5.0 tika-2.6.0 wget-3.2\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install numpy==1.26.4"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w-Q7zAiVARqZ",
        "outputId": "ebb23749-4bfa-4561-d54b-9d2d8e4dbc71"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: numpy==1.26.4 in /usr/local/lib/python3.10/dist-packages (1.26.4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from harmony.matching.generate_crosswalk_table import generate_crosswalk_table"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
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        },
        "id": "gtKxZvBO-7on",
        "outputId": "39b86e06-fd3b-432e-82e7-0c7889895a8c"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:90: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'cached_download' (from 'huggingface_hub.file_download') is deprecated and will be removed from version '0.26'. Use `hf_hub_download` instead.\n",
            "  warnings.warn(warning_message, FutureWarning)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              ".gitattributes:   0%|          | 0.00/1.02k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
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      "cell_type": "code",
      "source": [
        "!wget https://github.com/harmonydata/harmony_examples/raw/refs/heads/main/variables_for_harmony_example.csv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "smOn_FUA_Uo4",
        "outputId": "de38049b-15ef-43ee-e9d3-a57ddd6308db"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-11-19 10:58:39--  https://github.com/harmonydata/harmony_examples/raw/refs/heads/main/variables_for_harmony_example.csv\n",
            "Resolving github.com (github.com)... 140.82.116.3\n",
            "Connecting to github.com (github.com)|140.82.116.3|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://raw.githubusercontent.com/harmonydata/harmony_examples/refs/heads/main/variables_for_harmony_example.csv [following]\n",
            "--2024-11-19 10:58:39--  https://raw.githubusercontent.com/harmonydata/harmony_examples/refs/heads/main/variables_for_harmony_example.csv\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 100544 (98K) [text/plain]\n",
            "Saving to: ‘variables_for_harmony_example.csv’\n",
            "\n",
            "variables_for_harmo 100%[===================>]  98.19K  --.-KB/s    in 0.02s   \n",
            "\n",
            "2024-11-19 10:58:39 (5.55 MB/s) - ‘variables_for_harmony_example.csv’ saved [100544/100544]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "uNdb5mAUCslB"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "input_file_name = \"variables_for_harmony_example.csv\"\n",
        "df = pd.read_csv(input_file_name)"
      ],
      "metadata": {
        "id": "pRb6woLgBP6d"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "oFX-5BiTBQrG",
        "outputId": "93a20322-029c-4c4a-c4bc-76ba14a4cb99"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "                                           survey_name  year item_name  \\\n",
              "0                                              ADVANCE  2016        Q1   \n",
              "1                                              ADVANCE  2016        Q2   \n",
              "2                                              ADVANCE  2016        Q3   \n",
              "3                                              ADVANCE  2016        Q4   \n",
              "4                                              ADVANCE  2016        Q5   \n",
              "..                                                 ...   ...       ...   \n",
              "602  UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...  2000      Q109   \n",
              "603  UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...  2000      Q110   \n",
              "604  UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...  2000      Q111   \n",
              "605  UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...  2000      Q112   \n",
              "606  UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...  2000      Q113   \n",
              "\n",
              "                                             item_text  \\\n",
              "0          Little interest or pleasure in doing things   \n",
              "1                 Feeling down, depressed, or hopeless   \n",
              "2    Trouble falling/staying asleep, sleeping too much   \n",
              "3                Feeling tired or having little energy   \n",
              "4                          Poor appetite or overeating   \n",
              "..                                                 ...   \n",
              "602                                   is the dog kept:   \n",
              "603  *How often has he/she visited homes that keep ...   \n",
              "604                                   is the dog kept:   \n",
              "605                          *Does he/she sleep mainly   \n",
              "606  How many times per night (between midnight and...   \n",
              "\n",
              "                           response_categories_cleaned  \n",
              "0    Not at all / Several days / More than half the...  \n",
              "1    Not at all / Several days / More than half the...  \n",
              "2    Not at all / Several days / More than half the...  \n",
              "3    Not at all / Several days / More than half the...  \n",
              "4    Not at all / Several days / More than half the...  \n",
              "..                                                 ...  \n",
              "602                                                NaN  \n",
              "603                                                NaN  \n",
              "604                                                NaN  \n",
              "605                                                NaN  \n",
              "606                                                NaN  \n",
              "\n",
              "[607 rows x 5 columns]"
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              "  <div id=\"df-5ae75fc7-e519-4947-aaec-9d33dc3334f8\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>survey_name</th>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ADVANCE</td>\n",
              "      <td>2016</td>\n",
              "      <td>Q4</td>\n",
              "      <td>Feeling tired or having little energy</td>\n",
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              "      <td>Not at all / Several days / More than half the...</td>\n",
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              "      <th>602</th>\n",
              "      <td>UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...</td>\n",
              "      <td>2000</td>\n",
              "      <td>Q109</td>\n",
              "      <td>is the dog kept:</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>603</th>\n",
              "      <td>UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...</td>\n",
              "      <td>2000</td>\n",
              "      <td>Q110</td>\n",
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              "      <td>NaN</td>\n",
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              "      <th>604</th>\n",
              "      <td>UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...</td>\n",
              "      <td>2000</td>\n",
              "      <td>Q111</td>\n",
              "      <td>is the dog kept:</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>605</th>\n",
              "      <td>UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...</td>\n",
              "      <td>2000</td>\n",
              "      <td>Q112</td>\n",
              "      <td>*Does he/she sleep mainly</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>606</th>\n",
              "      <td>UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF...</td>\n",
              "      <td>2000</td>\n",
              "      <td>Q113</td>\n",
              "      <td>How many times per night (between midnight and...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>607 rows × 5 columns</p>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-5ae75fc7-e519-4947-aaec-9d33dc3334f8 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-5ae75fc7-e519-4947-aaec-9d33dc3334f8');\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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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
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              "    display: none;\n",
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              "    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",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "      border-right-color: var(--fill-color);\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "      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-0bdd56c6-609b-4bd6-8a8e-e730ee9f5e6e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_79727a21-f2d1-4743-9a9d-fbcb5de14938\">\n",
              "    <style>\n",
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              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate: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",
              "      [theme=dark] .colab-df-generate {\n",
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              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\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",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_79727a21-f2d1-4743-9a9d-fbcb5de14938 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
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              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 607,\n  \"fields\": [\n    {\n      \"column\": \"survey_name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"AESOP-10\",\n          \"UK.MRCLEU-UOS.SWS/420A7207-EEC6-4ADE-947A-3DDF6A2F8F0D\",\n          \"AHMS\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10,\n        \"min\": 1990,\n        \"max\": 2019,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          2016,\n          2019,\n          1990\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"item_name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 271,\n        \"samples\": [\n          \"Q31\",\n          \"Q117\",\n          \"Q80\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"item_text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 567,\n        \"samples\": [\n          \"In the past six months, other than during the first week of a cold, has he/she woken at night with coughing for 3 or more nights in a row?\",\n          \"*Did your baby eat any dried baby foods in the past 4 weeks?\",\n          \"Do you have to make a special effort to face up to a crisis or difficulty?\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"response_categories_cleaned\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 32,\n        \"samples\": [\n          \"True / Sometimes true / Not true\",\n          \"Yes/no / Free response, description of event / Q3-12 / Not at all / A little / Moderately / Quite a bit / Extremely\",\n          \"Not true / Somewhat true / Certainly true / Don't know\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Convert the data frame to Instruments (corresponding to sweeps)"
      ],
      "metadata": {
        "id": "OIz9PXYPBgF6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from harmony import create_instrument_from_list, match_instruments"
      ],
      "metadata": {
        "id": "fp6X7HVuCIwu"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "instruments = []\n",
        "for (survey_name, year), survey_content_df in df.groupby([\"survey_name\", \"year\"]):\n",
        "  this_survey = create_instrument_from_list(list(survey_content_df.item_text), list(survey_content_df.item_name), instrument_name=f\"{survey_name} {year}\", file_name=input_file_name)\n",
        "  instruments.append(this_survey)"
      ],
      "metadata": {
        "id": "zS16O-QJBSgO"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print (f\"We found {len(instruments)} surveys in a data frame of {len(df)} entries\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zsi5-rndBwLv",
        "outputId": "d4770862-ad8d-4e6d-d2ab-94aa26c32155"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "We found 7 surveys in a data frame of 607 entries\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "questions, similarity, query_similarity, new_vectors_dict = match_instruments(instruments)"
      ],
      "metadata": {
        "id": "6nb0zXi8B2r8"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Set the threshold for the crosswalk table"
      ],
      "metadata": {
        "id": "1i6FkLmvDPYv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "threshold = 0.6"
      ],
      "metadata": {
        "id": "p0EmvMhpDSPn"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_crosswalk_table = generate_crosswalk_table(questions, similarity, threshold)"
      ],
      "metadata": {
        "id": "HjbWw2cgC9LT"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Display the crosswalk table"
      ],
      "metadata": {
        "id": "4tb1tymdDZot"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_crosswalk_table"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "VN02MLDtDX33",
        "outputId": "08170ade-88fb-4a09-bec7-cff7c1fdffdc"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     pair_name question1_no  \\\n",
              "0         0_33           Q1   \n",
              "1         0_74           Q1   \n",
              "2        0_167           Q1   \n",
              "3          1_3           Q2   \n",
              "4          1_5           Q2   \n",
              "...        ...          ...   \n",
              "1545   599_603         Q106   \n",
              "1546   600_602         Q107   \n",
              "1547   600_604         Q107   \n",
              "1548   601_603         Q108   \n",
              "1549   602_604         Q109   \n",
              "\n",
              "                                         question1_text question2_no  \\\n",
              "0           Little interest or pleasure in doing things          Q34   \n",
              "1           Little interest or pleasure in doing things          Q75   \n",
              "2           Little interest or pleasure in doing things           Q2   \n",
              "3                  Feeling down, depressed, or hopeless           Q4   \n",
              "4                  Feeling down, depressed, or hopeless           Q6   \n",
              "...                                                 ...          ...   \n",
              "1545  *How often has he/she visited homes that keep ...         Q110   \n",
              "1546                                   is the cat kept:         Q109   \n",
              "1547                                   is the cat kept:         Q111   \n",
              "1548  And similarly, have you kept a dog at home at ...         Q110   \n",
              "1549                                   is the dog kept:         Q111   \n",
              "\n",
              "                                         question2_text  match_score  \n",
              "0     Loss of interest in activities that you used t...     0.603007  \n",
              "1           Little interest or pleasure in doing things     1.000000  \n",
              "2           Little interest or pleasure in doing things     1.000000  \n",
              "3                 Feeling tired or having little energy     0.609609  \n",
              "4     Feeling bad about yourself or that you are a f...     0.786318  \n",
              "...                                                 ...          ...  \n",
              "1545  *How often has he/she visited homes that keep ...     0.852302  \n",
              "1546                                   is the dog kept:     0.676220  \n",
              "1547                                   is the dog kept:     0.676220  \n",
              "1548  *How often has he/she visited homes that keep ...     0.778499  \n",
              "1549                                   is the dog kept:     1.000000  \n",
              "\n",
              "[1550 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ea45da8e-a413-4891-8c04-76de1d092663\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>pair_name</th>\n",
              "      <th>question1_no</th>\n",
              "      <th>question1_text</th>\n",
              "      <th>question2_no</th>\n",
              "      <th>question2_text</th>\n",
              "      <th>match_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0_33</td>\n",
              "      <td>Q1</td>\n",
              "      <td>Little interest or pleasure in doing things</td>\n",
              "      <td>Q34</td>\n",
              "      <td>Loss of interest in activities that you used t...</td>\n",
              "      <td>0.603007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0_74</td>\n",
              "      <td>Q1</td>\n",
              "      <td>Little interest or pleasure in doing things</td>\n",
              "      <td>Q75</td>\n",
              "      <td>Little interest or pleasure in doing things</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0_167</td>\n",
              "      <td>Q1</td>\n",
              "      <td>Little interest or pleasure in doing things</td>\n",
              "      <td>Q2</td>\n",
              "      <td>Little interest or pleasure in doing things</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1_3</td>\n",
              "      <td>Q2</td>\n",
              "      <td>Feeling down, depressed, or hopeless</td>\n",
              "      <td>Q4</td>\n",
              "      <td>Feeling tired or having little energy</td>\n",
              "      <td>0.609609</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1_5</td>\n",
              "      <td>Q2</td>\n",
              "      <td>Feeling down, depressed, or hopeless</td>\n",
              "      <td>Q6</td>\n",
              "      <td>Feeling bad about yourself or that you are a f...</td>\n",
              "      <td>0.786318</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1545</th>\n",
              "      <td>599_603</td>\n",
              "      <td>Q106</td>\n",
              "      <td>*How often has he/she visited homes that keep ...</td>\n",
              "      <td>Q110</td>\n",
              "      <td>*How often has he/she visited homes that keep ...</td>\n",
              "      <td>0.852302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1546</th>\n",
              "      <td>600_602</td>\n",
              "      <td>Q107</td>\n",
              "      <td>is the cat kept:</td>\n",
              "      <td>Q109</td>\n",
              "      <td>is the dog kept:</td>\n",
              "      <td>0.676220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1547</th>\n",
              "      <td>600_604</td>\n",
              "      <td>Q107</td>\n",
              "      <td>is the cat kept:</td>\n",
              "      <td>Q111</td>\n",
              "      <td>is the dog kept:</td>\n",
              "      <td>0.676220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1548</th>\n",
              "      <td>601_603</td>\n",
              "      <td>Q108</td>\n",
              "      <td>And similarly, have you kept a dog at home at ...</td>\n",
              "      <td>Q110</td>\n",
              "      <td>*How often has he/she visited homes that keep ...</td>\n",
              "      <td>0.778499</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1549</th>\n",
              "      <td>602_604</td>\n",
              "      <td>Q109</td>\n",
              "      <td>is the dog kept:</td>\n",
              "      <td>Q111</td>\n",
              "      <td>is the dog kept:</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1550 rows × 6 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ea45da8e-a413-4891-8c04-76de1d092663')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      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-ea45da8e-a413-4891-8c04-76de1d092663 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-ea45da8e-a413-4891-8c04-76de1d092663');\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",
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              "  </div>\n",
              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0c742766-274b-4ad8-aaa7-d7f4cd3fd19e')\"\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",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
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              "      --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-0c742766-274b-4ad8-aaa7-d7f4cd3fd19e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_6817b191-0c2e-41fa-a5ab-2d87f36a6eea\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_crosswalk_table')\"\n",
              "            title=\"Generate code using this dataframe.\"\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",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_6817b191-0c2e-41fa-a5ab-2d87f36a6eea button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df_crosswalk_table');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_crosswalk_table",
              "summary": "{\n  \"name\": \"df_crosswalk_table\",\n  \"rows\": 1550,\n  \"fields\": [\n    {\n      \"column\": \"pair_name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1550,\n        \"samples\": [\n          \"579_584\",\n          \"544_554\",\n          \"38_422\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"question1_no\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 191,\n        \"samples\": [\n          \"Q168\",\n          \"Q92\",\n          \"Q195\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"question1_text\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 374,\n        \"samples\": [\n          \"Is/are there any? Eczema*\",\n          \"Having trouble falling or staying asleep?\",\n          \"Becoming easily annoyed or irritable?\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"question2_no\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 241,\n        \"samples\": [\n          \"Q33\",\n          \"Q24\",\n          \"Q242\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"question2_text\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 396,\n        \"samples\": [\n          \"Do worrying thoughts go through your mind?\",\n          \"Picked on or bullied by other children\",\n          \"Have you felt dissatisfied about your weight?\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"match_score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.1065569818080445,\n        \"min\": 0.6000853752222598,\n        \"max\": 1.0000000000000004,\n        \"num_unique_values\": 1407,\n        \"samples\": [\n          0.6693401607764214,\n          0.6971980572620092,\n          0.8446508387583512\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "hQDwb78ODYr9"
      },
      "execution_count": 14,
      "outputs": []
    }
  ]
}