{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "c928623b", "metadata": {}, "source": [ "# Primary Care Medicines (PCM) Dataset" ] }, { "cell_type": "code", "execution_count": 1, "id": "71405ccc", "metadata": { "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/markdown": [ ">Last modified: 03 Jul 2025" ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import sys\n", "import os\n", "sys.path.append(os.path.abspath('../../../../scripts/'))\n", "from data_doc_helper import NHSEDataSet as DS, last_modified\n", "ds = DS(\"PCM\")\n", "last_modified()" ] }, { "cell_type": "code", "execution_count": 2, "id": "91b35815", "metadata": { "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/markdown": [ "<div style=\"background-color: rgba(0, 178, 169, 0.3); padding: 5px; border-radius: 5px;\"><strong>None</strong></div>" ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds.three_sec_summary()" ] }, { "cell_type": "markdown", "id": "c7d719ca", "metadata": {}, "source": [ "## 1. Summary" ] }, { "cell_type": "code", "execution_count": 3, "id": "31f20bc2", "metadata": { "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds.summary()" ] }, { "cell_type": "code", "execution_count": 4, "id": "8c00184b", "metadata": { "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/html": [ "<style type=\"text/css\">\n", "#T_427cc th {\n", " text-align: left;\n", "}\n", "#T_427cc_row0_col0, #T_427cc_row0_col1, #T_427cc_row1_col0, #T_427cc_row1_col1, #T_427cc_row2_col0, #T_427cc_row2_col1, #T_427cc_row3_col0, #T_427cc_row3_col1, #T_427cc_row4_col0, #T_427cc_row4_col1, #T_427cc_row5_col0, #T_427cc_row5_col1, #T_427cc_row6_col0, #T_427cc_row6_col1, #T_427cc_row7_col0, #T_427cc_row7_col1, #T_427cc_row8_col0, #T_427cc_row8_col1, #T_427cc_row9_col0, #T_427cc_row9_col1, #T_427cc_row10_col0, #T_427cc_row10_col1, #T_427cc_row11_col0, #T_427cc_row11_col1, #T_427cc_row12_col0, #T_427cc_row12_col1, #T_427cc_row13_col0, #T_427cc_row13_col1, #T_427cc_row14_col0, #T_427cc_row14_col1 {\n", " text-align: left;\n", "}\n", "</style>\n", "<table id=\"T_427cc\" style=\"font-size: 14px\">\n", " <thead>\n", " <tr>\n", " <th id=\"T_427cc_level0_col0\" class=\"col_heading level0 col0\" >Dataset Descriptor</th>\n", " <th id=\"T_427cc_level0_col1\" class=\"col_heading level0 col1\" >Dataset-specific Information</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <td id=\"T_427cc_row0_col0\" class=\"data row0 col0\" >Name of Dataset in TRE</td>\n", " <td id=\"T_427cc_row0_col1\" class=\"data row0 col1\" >NHSE_PCM</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row1_col0\" class=\"data row1 col0\" >Citation (APA)</td>\n", " <td id=\"T_427cc_row1_col1\" class=\"data row1 col1\" >Data Services, NHS England (NHSE) . (2024). <i>NHS England: Primary Care Medicines (PCM).</i> UK Longitudinal Linkage Collaboration (UK LLC). <a href=\"https://doi.org/10.83126/ukllc-dataset-00050-03\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.83126/ukllc-dataset-00050-03</a></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row2_col0\" class=\"data row2 col0\" >Download Citation</td>\n", " <td id=\"T_427cc_row2_col1\" class=\"data row2 col1\" > <a href=\"https://api.datacite.org/application/vnd.citationstyles.csl+json/10.83126/ukllc-dataset-00050-03\" rel=\"noopener noreferrer\" target=\"_blank\">Citeproc JSON</a> <a href=\"https://api.datacite.org/application/x-bibtex/10.83126/ukllc-dataset-00050-03\" rel=\"noopener noreferrer\" target=\"_blank\">BibTeX</a> <a href=\"https://api.datacite.org/application/x-research-info-systems/10.83126/ukllc-dataset-00050-03\" rel=\"noopener noreferrer\" target=\"_blank\">RIS</a></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row3_col0\" class=\"data row3 col0\" >Series</td>\n", " <td id=\"T_427cc_row3_col1\" class=\"data row3 col1\" > <a href=\"https://guidebook.ukllc.ac.uk/docs//linked_health_data/NHS_England/NHSE_intro\" rel=\"noopener noreferrer\" target=\"_blank\">NHS England</a></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row4_col0\" class=\"data row4 col0\" >Owner</td>\n", " <td id=\"T_427cc_row4_col1\" class=\"data row4 col1\" >NHS England, Office for National Statistics and Department of Health and Social Care</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row5_col0\" class=\"data row5 col0\" >Temporal Coverage in the TRE</td>\n", " <td id=\"T_427cc_row5_col1\" class=\"data row5 col1\" >04/2015 - ongoing</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row6_col0\" class=\"data row6 col0\" >Geographical Coverage</td>\n", " <td id=\"T_427cc_row6_col1\" class=\"data row6 col1\" >England</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row7_col0\" class=\"data row7 col0\" >Participant Count</td>\n", " <td id=\"T_427cc_row7_col1\" class=\"data row7 col1\" >193008</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row8_col0\" class=\"data row8 col0\" >Number of Variables</td>\n", " <td id=\"T_427cc_row8_col1\" class=\"data row8 col1\" >57</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row9_col0\" class=\"data row9 col0\" >Number of Observations</td>\n", " <td id=\"T_427cc_row9_col1\" class=\"data row9 col1\" >32640281</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row10_col0\" class=\"data row10 col0\" >Key Link</td>\n", " <td id=\"T_427cc_row10_col1\" class=\"data row10 col1\" > <a href=\"https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/medicines-dispensed-in-primary-care-nhsbsa-data\" rel=\"noopener noreferrer\" target=\"_blank\">https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/medicines-dispensed-in-primary-care-nhsbsa-data</a></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row11_col0\" class=\"data row11 col0\" >Keywords</td>\n", " <td id=\"T_427cc_row11_col1\" class=\"data row11 col1\" >Medicines, Prescriptions</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row12_col0\" class=\"data row12 col0\" >Latest Extract Date</td>\n", " <td id=\"T_427cc_row12_col1\" class=\"data row12 col1\" >2024-04-26</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row13_col0\" class=\"data row13 col0\" >Specific Restrictions to Data Use</td>\n", " <td id=\"T_427cc_row13_col1\" class=\"data row13 col1\" >Research must have a focus on the safety and effectiveness of medicines as specified by the NHSBSA Medicines Data Directions: https://digital.nhs.uk/about-nhs-digital/corporate-information-and-documents/directions-and-data-provision-notices/secretary-of-state-directions/nhs-business-services-authority-nhsbsa-medicines-data-directions-2019</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_427cc_row14_col0\" class=\"data row14 col0\" >Build a Data Request</td>\n", " <td id=\"T_427cc_row14_col1\" class=\"data row14 col1\" > <a href=\"https://explore.ukllc.ac.uk/\" rel=\"noopener noreferrer\" target=\"_blank\">https://explore.ukllc.ac.uk/</a></td>\n", " </tr>\n", " </tbody>\n", "</table>\n" ], "text/plain": [ "<pandas.io.formats.style.Styler at 0x2a0906fe7b0>" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.info_table()" ] }, { "cell_type": "markdown", "id": "ebf55707", "metadata": {}, "source": [ "## 2. Metrics" ] }, { "cell_type": "code", "execution_count": 5, "id": "33994195", "metadata": { "tags": [ "remove-input" ] }, "outputs": [ { "data": { "application/javascript": "'use strict';\n(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n function drop(id) {\n const view = Bokeh.index.get_by_id(id)\n if (view != null) {\n view.model.document.clear()\n Bokeh.index.delete(view)\n }\n }\n\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n\n // Clean up Bokeh references\n if (id != null) {\n drop(id)\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim()\n drop(id)\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"<div style='background-color: #fdd'>\\n\"+\n \"<p>\\n\"+\n \"BokehJS does not appear to have successfully loaded. 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i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n\n } catch (error) {throw error;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", "application/vnd.bokehjs_load.v0+json": "" }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/markdown": [ "Table 2: Please note, individual cohort counts of less than 10 are suppressed to 0 and are therefore excluded from total participant counts for datasets" ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", " <div id=\"e8610284-d45c-4c19-9e72-104142c58733\" data-root-id=\"p1016\" style=\"display: contents;\"></div>\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": "(function(root) {\n function embed_document(root) {\n const docs_json = {\"e6973bec-382c-4ca7-bd4b-ba3e6ba169e9\":{\"version\":\"3.7.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"DataCube\",\"id\":\"p1016\",\"attributes\":{\"source\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1001\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1002\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1003\"},\"data\":{\"type\":\"map\",\"entries\":[[\"d0\",[\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\",\"PCM\"]],[\"d1\",[\"ALSPAC\",\"BCS70\",\"BIB\",\"ELSA\",\"EPICN\",\"EXCEED\",\"FENLAND\",\"GLAD\",\"MCS\",\"NCDS58\",\"NEXTSTEP\",\"NIHRBIO_COPING\",\"NSHD46\",\"TEDS\",\"TRACKC19\",\"TWINSUK\",\"UKHLS\"]],[\"px\",[5313,5360,24916,6890,14580,9112,9588,65930,16191,5856,4585,15568,2441,6931,12855,11423,6474]]]}}},\"view\":{\"type\":\"object\",\"name\":\"CDSView\",\"id\":\"p1020\",\"attributes\":{\"filter\":{\"type\":\"object\",\"name\":\"AllIndices\",\"id\":\"p1021\"}}},\"columns\":[{\"type\":\"object\",\"name\":\"TableColumn\",\"id\":\"p1008\",\"attributes\":{\"field\":\"d1\",\"title\":\"PCM Dataset\",\"width\":80,\"formatter\":{\"type\":\"object\",\"name\":\"StringFormatter\",\"id\":\"p1007\",\"attributes\":{\"font_style\":{\"type\":\"value\",\"value\":\"bold\"}}},\"editor\":{\"type\":\"object\",\"name\":\"StringEditor\",\"id\":\"p1010\"},\"sortable\":false}},{\"type\":\"object\",\"name\":\"TableColumn\",\"id\":\"p1011\",\"attributes\":{\"field\":\"px\",\"title\":\"Participant Count\",\"width\":40,\"formatter\":{\"type\":\"object\",\"name\":\"StringFormatter\",\"id\":\"p1012\"},\"editor\":{\"type\":\"object\",\"name\":\"StringEditor\",\"id\":\"p1013\"},\"sortable\":false}}],\"grouping\":[{\"type\":\"object\",\"name\":\"GroupingInfo\",\"id\":\"p1015\",\"attributes\":{\"getter\":\"d0\",\"aggregators\":[{\"type\":\"object\",\"name\":\"SumAggregator\",\"id\":\"p1014\",\"attributes\":{\"field_\":\"px\"}}]}}],\"target\":{\"type\":\"object\",\"name\":\"ColumnDataSource\",\"id\":\"p1004\",\"attributes\":{\"selected\":{\"type\":\"object\",\"name\":\"Selection\",\"id\":\"p1005\",\"attributes\":{\"indices\":[],\"line_indices\":[]}},\"selection_policy\":{\"type\":\"object\",\"name\":\"UnionRenderers\",\"id\":\"p1006\"},\"data\":{\"type\":\"map\",\"entries\":[[\"row_indices\",[]],[\"labels\",[]]]}}}}}]}};\n const render_items = [{\"docid\":\"e6973bec-382c-4ca7-bd4b-ba3e6ba169e9\",\"roots\":{\"p1016\":\"e8610284-d45c-4c19-9e72-104142c58733\"},\"root_ids\":[\"p1016\"]}];\n void root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n }\n if (root.Bokeh !== undefined) {\n embed_document(root);\n } else {\n let attempts = 0;\n const timer = setInterval(function(root) {\n if (root.Bokeh !== undefined) {\n clearInterval(timer);\n embed_document(root);\n } else {\n attempts++;\n if (attempts > 100) {\n clearInterval(timer);\n console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n }\n }\n }, 10, root)\n }\n})(window);", "application/vnd.bokehjs_exec.v0+json": "" }, "metadata": { "application/vnd.bokehjs_exec.v0+json": { "id": "p1016" } }, "output_type": "display_data" } ], "source": [ "ds.metrics()" ] }, { "cell_type": "markdown", "id": "2d7fecf8", "metadata": {}, "source": [ "## 3. Version History" ] }, { "cell_type": "code", "execution_count": 6, "id": "a176d142", "metadata": { "tags": [ "remove-input" ] }, "outputs": [ { "data": { "application/vnd.microsoft.datawrangler.viewer.v0+json": { "columns": [ { "name": "index", "rawType": "object", "type": "string" }, { "name": "1", "rawType": "object", "type": "unknown" }, { "name": "2", "rawType": "object", "type": "unknown" }, { "name": "3", "rawType": "object", "type": "unknown" } ], "ref": "99bcc683-0034-4cf5-b7f1-9a56a97890a0", "rows": [ [ "Name in TRE", "NHSE_PCM", "NHSE_PCM", "NHSE_PCM" ], [ "Version Date", "21 Dec 2022", "13 Apr 2023", "26 Apr 2024" ], [ "Number of Variables", "57", "57", "57" ], [ "Number of Rows", "19239373", "22859974", "32640281" ], [ "DOI", "10.83126/ukllc-dataset-00050-01", "10.83126/ukllc-dataset-00050-02", "10.83126/ukllc-dataset-00050-03" ] ], "shape": { "columns": 3, "rows": 5 } }, "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th>Version Number</th>\n", " <th>1</th>\n", " <th>2</th>\n", " <th>3</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>Name in TRE</th>\n", " <td>NHSE_PCM</td>\n", " <td>NHSE_PCM</td>\n", " <td>NHSE_PCM</td>\n", " </tr>\n", " <tr>\n", " <th>Version Date</th>\n", " <td>21 Dec 2022</td>\n", " <td>13 Apr 2023</td>\n", " <td>26 Apr 2024</td>\n", " </tr>\n", " <tr>\n", " <th>Number of Variables</th>\n", " <td>57</td>\n", " <td>57</td>\n", " <td>57</td>\n", " </tr>\n", " <tr>\n", " <th>Number of Rows</th>\n", " <td>19239373</td>\n", " <td>22859974</td>\n", " <td>32640281</td>\n", " </tr>\n", " <tr>\n", " <th>DOI</th>\n", " <td>10.83126/ukllc-dataset-00050-01</td>\n", " <td>10.83126/ukllc-dataset-00050-02</td>\n", " <td>10.83126/ukllc-dataset-00050-03</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ "Version Number 1 \\\n", "Name in TRE NHSE_PCM \n", "Version Date 21 Dec 2022 \n", "Number of Variables 57 \n", "Number of Rows 19239373 \n", "DOI 10.83126/ukllc-dataset-00050-01 \n", "\n", "Version Number 2 \\\n", "Name in TRE NHSE_PCM \n", "Version Date 13 Apr 2023 \n", "Number of Variables 57 \n", "Number of Rows 22859974 \n", "DOI 10.83126/ukllc-dataset-00050-02 \n", "\n", "Version Number 3 \n", "Name in TRE NHSE_PCM \n", "Version Date 26 Apr 2024 \n", "Number of Variables 57 \n", "Number of Rows 32640281 \n", "DOI 10.83126/ukllc-dataset-00050-03 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ds.version_history()" ] }, { "cell_type": "markdown", "id": "12e6b815", "metadata": {}, "source": [ "## 4. Documentation" ] }, { "cell_type": "code", "execution_count": 8, "id": "02e29089", "metadata": { "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/markdown": [ "We are currently building a documentation storage system, which will host relevant and useful documents related to datasets, groupings, and studies themselves. Relevant documentation for this particular dataset will go here." ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds.documentation()" ] }, { "cell_type": "markdown", "id": "ecce32ec", "metadata": {}, "source": [ "## 5. Useful Syntax" ] }, { "cell_type": "code", "execution_count": 9, "id": "ee22f894", "metadata": { "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/markdown": [ "Below we will include syntax that may be helpful to other researchers in the UK LLC TRE. For longer scripts, we will include a snippet of the code plus a link to Git where you can find the full script" ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds.useful_syntax()" ] } ], "metadata": { "kernelspec": { "display_name": "jupbook", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.2" } }, "nbformat": 4, "nbformat_minor": 5 }