{ "cells": [ { "cell_type": "markdown", "id": "cd0a3db2", "metadata": {}, "source": [ "# European Prospective Investigation into Cancer and Nutrition - Norfolk (EPIC-N)" ] }, { "cell_type": "code", "execution_count": 1, "id": "3620e7c3", "metadata": { "execution": { "iopub.execute_input": "2025-07-28T18:37:45.607754Z", "iopub.status.busy": "2025-07-28T18:37:45.606740Z", "iopub.status.idle": "2025-07-28T18:37:50.502100Z", "shell.execute_reply": "2025-07-28T18:37:50.500082Z" }, "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/markdown": [ ">Last modified: 28 Jul 2025" ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "import sys\n", "import os\n", "sys.path.append(os.path.abspath('../../scripts/'))\n", "from data_doc_helper import LPSSource as SS, last_modified\n", "ss = SS(\"EPICN\")\n", "last_modified()\n" ] }, { "cell_type": "markdown", "id": "b279224f", "metadata": {}, "source": [ "## 1. Summary" ] }, { "cell_type": "code", "execution_count": 2, "id": "0f55d79f", "metadata": { "execution": { "iopub.execute_input": "2025-07-28T18:37:50.510104Z", "iopub.status.busy": "2025-07-28T18:37:50.509099Z", "iopub.status.idle": "2025-07-28T18:37:50.521449Z", "shell.execute_reply": "2025-07-28T18:37:50.519361Z" }, "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/markdown": [ "EPIC-Norfolk is part of the European Prospective Investigation into Cancer (EPIC), a large-scale project that studies populations across Europe to investigate the relationships between diet, nutrition, lifestyle and environmental factors, and the incidence of cancer and other chronic diseases. " ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ss.summary()" ] }, { "cell_type": "code", "execution_count": 3, "id": "abaae444", "metadata": { "execution": { "iopub.execute_input": "2025-07-28T18:37:50.527440Z", "iopub.status.busy": "2025-07-28T18:37:50.526444Z", "iopub.status.idle": "2025-07-28T18:37:52.024054Z", "shell.execute_reply": "2025-07-28T18:37:52.022526Z" }, "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/html": [ "<style type=\"text/css\">\n", "#T_d1f80 th {\n", " text-align: left;\n", "}\n", "#T_d1f80_row0_col0, #T_d1f80_row0_col1, #T_d1f80_row1_col0, #T_d1f80_row1_col1, #T_d1f80_row2_col0, #T_d1f80_row2_col1, #T_d1f80_row3_col0, #T_d1f80_row3_col1, #T_d1f80_row4_col0, #T_d1f80_row4_col1, #T_d1f80_row5_col0, #T_d1f80_row5_col1, #T_d1f80_row6_col0, #T_d1f80_row6_col1, #T_d1f80_row7_col0, #T_d1f80_row7_col1, #T_d1f80_row8_col0, #T_d1f80_row8_col1, #T_d1f80_row9_col0, #T_d1f80_row9_col1, #T_d1f80_row10_col0, #T_d1f80_row10_col1, #T_d1f80_row11_col0, #T_d1f80_row11_col1, #T_d1f80_row12_col0, #T_d1f80_row12_col1 {\n", " text-align: left;\n", "}\n", "</style>\n", "<table id=\"T_d1f80\" style=\"font-size: 14px\">\n", " <thead>\n", " <tr>\n", " <th id=\"T_d1f80_level0_col0\" class=\"col_heading level0 col0\" >Series Descriptor</th>\n", " <th id=\"T_d1f80_level0_col1\" class=\"col_heading level0 col1\" >Series-specific Information</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <td id=\"T_d1f80_row0_col0\" class=\"data row0 col0\" >Citation (APA)</td>\n", " <td id=\"T_d1f80_row0_col1\" class=\"data row0 col1\" >University of Cambridge, MRC Epidemiology Unit. (2021). <i>European Prospective Investigation into Cancer - Norfolk (EPIC-N).</i> UK Longitudinal Linkage Collaboration (UK LLC). <a href=\"https://doi.org/10.71760/ukllc-series-00006\" rel=\"noopener noreferrer\" target=\"_blank\">https://doi.org/10.71760/ukllc-series-00006</a></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row1_col0\" class=\"data row1 col0\" >Download Citation</td>\n", " <td id=\"T_d1f80_row1_col1\" class=\"data row1 col1\" > <a href=\"https://api.datacite.org/application/vnd.citationstyles.csl+json/10.71760/ukllc-series-00006\" rel=\"noopener noreferrer\" target=\"_blank\">Citeproc JSON</a> <a href=\"https://api.datacite.org/application/x-bibtex/10.71760/ukllc-series-00006\" rel=\"noopener noreferrer\" target=\"_blank\">BibTeX</a> <a href=\"https://api.datacite.org/application/x-research-info-systems/10.71760/ukllc-series-00006\" rel=\"noopener noreferrer\" target=\"_blank\">RIS</a></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row2_col0\" class=\"data row2 col0\" >Owner</td>\n", " <td id=\"T_d1f80_row2_col1\" class=\"data row2 col1\" >University of Cambridge</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row3_col0\" class=\"data row3 col0\" >Cohort</td>\n", " <td id=\"T_d1f80_row3_col1\" class=\"data row3 col1\" >30000</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row4_col0\" class=\"data row4 col0\" >Age at Recruitment</td>\n", " <td id=\"T_d1f80_row4_col1\" class=\"data row4 col1\" >40-79 years</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row5_col0\" class=\"data row5 col0\" >Geographical Coverage - Nations</td>\n", " <td id=\"T_d1f80_row5_col1\" class=\"data row5 col1\" >England</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row6_col0\" class=\"data row6 col0\" >Geographical Coverage - Regions</td>\n", " <td id=\"T_d1f80_row6_col1\" class=\"data row6 col1\" >Norfolk</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row7_col0\" class=\"data row7 col0\" >Start Date</td>\n", " <td id=\"T_d1f80_row7_col1\" class=\"data row7 col1\" >1993</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row8_col0\" class=\"data row8 col0\" >Permitted Linkages</td>\n", " <td id=\"T_d1f80_row8_col1\" class=\"data row8 col1\" >See <a href=\"https://guidebook.ukllc.ac.uk/docs/lps/linkages/lps_linkages\" rel=\"noopener noreferrer\" target=\"_blank\">here</a></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row9_col0\" class=\"data row9 col0\" >Inclusion in Linkages</td>\n", " <td id=\"T_d1f80_row9_col1\" class=\"data row9 col1\" >Consent and section 251</td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row10_col0\" class=\"data row10 col0\" >Cohort Profile</td>\n", " <td id=\"T_d1f80_row10_col1\" class=\"data row10 col1\" > <a href=\"https://doi.org/10.1093/ije/dyt086\" rel=\"noopener noreferrer\" target=\"_blank\">10.1093/ije/dyt086</a></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row11_col0\" class=\"data row11 col0\" >LPS Homepage</td>\n", " <td id=\"T_d1f80_row11_col1\" class=\"data row11 col1\" ><p><a href=\"https://www.epic-norfolk.org.uk/\">epic-norfolk</a></p></td>\n", " </tr>\n", " <tr>\n", " <td id=\"T_d1f80_row12_col0\" class=\"data row12 col0\" >Build a Data Request</td>\n", " <td id=\"T_d1f80_row12_col1\" class=\"data row12 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 0x1de402dbb60>" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ss.info_table()" ] }, { "cell_type": "markdown", "id": "657b90e3", "metadata": {}, "source": [ "## 2. Linkage Rates" ] }, { "cell_type": "code", "execution_count": 4, "id": "cdd36db1", "metadata": { "execution": { "iopub.execute_input": "2025-07-28T18:37:52.031308Z", "iopub.status.busy": "2025-07-28T18:37:52.030328Z", "iopub.status.idle": "2025-07-28T18:37:52.582339Z", "shell.execute_reply": "2025-07-28T18:37:52.579319Z" }, "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", "\n", "const 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? 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If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"</p>\\n\"+\n", " \"<ul>\\n\"+\n", " \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n", " \"<li>use INLINE resources instead, as so:</li>\\n\"+\n", " \"</ul>\\n\"+\n", " \"<code>\\n\"+\n", " \"from bokeh.resources import INLINE\\n\"+\n", " \"output_notebook(resources=INLINE)\\n\"+\n", " \"</code>\\n\"+\n", " \"</div>\"}};\n", "\n", " function display_loaded(error = null) {\n", " const el = document.getElementById(null);\n", " if (el != null) {\n", " const html = (() => {\n", " if (typeof root.Bokeh === \"undefined\") {\n", " if (error == null) {\n", " return \"BokehJS is loading ...\";\n", " } else {\n", " return \"BokehJS failed to load.\";\n", " }\n", " } else {\n", " const prefix = `BokehJS ${root.Bokeh.version}`;\n", " if (error == null) {\n", " return `${prefix} successfully loaded.`;\n", " } else {\n", " return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n", " }\n", " }\n", " })();\n", " el.innerHTML = html;\n", "\n", " if (error != null) {\n", " const wrapper = document.createElement(\"div\");\n", " wrapper.style.overflow = \"auto\";\n", " wrapper.style.height = \"5em\";\n", " wrapper.style.resize = \"vertical\";\n", " const content = document.createElement(\"div\");\n", " content.style.fontFamily = \"monospace\";\n", " content.style.whiteSpace = \"pre-wrap\";\n", " content.style.backgroundColor = \"rgb(255, 221, 221)\";\n", " content.textContent = error.stack ?? 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If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"</p>\\n\"+\n \"<ul>\\n\"+\n \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n \"<li>use INLINE resources instead, as so:</li>\\n\"+\n \"</ul>\\n\"+\n \"<code>\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"</code>\\n\"+\n \"</div>\"}};\n\n function display_loaded(error = null) {\n const el = document.getElementById(null);\n if (el != null) {\n const html = (() => {\n if (typeof root.Bokeh === \"undefined\") {\n if (error == null) {\n return \"BokehJS is loading ...\";\n } else {\n return \"BokehJS failed to load.\";\n }\n } else {\n const prefix = `BokehJS ${root.Bokeh.version}`;\n if (error == null) {\n return `${prefix} successfully loaded.`;\n } else {\n return `${prefix} <b>encountered errors</b> while loading and may not function as expected.`;\n }\n }\n })();\n el.innerHTML = html;\n\n if (error != null) {\n const wrapper = document.createElement(\"div\");\n 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" const render_items = [{\"docid\":\"657a49cd-ad4d-44a9-b4a9-f47cf81b3364\",\"roots\":{\"p1001\":\"b09e6140-3848-4b4a-bc9a-01c9ebb7630d\"},\"root_ids\":[\"p1001\"]}];\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": "p1001" } }, "output_type": "display_data" } ], "source": [ "ss.linkages_plot()" ] }, { "cell_type": "markdown", "id": "80cbe31b", "metadata": {}, "source": [ "## 3. Documentation" ] }, { "cell_type": "code", "execution_count": 5, "id": "3abff2e2", "metadata": { "execution": { "iopub.execute_input": "2025-07-28T18:37:52.591339Z", "iopub.status.busy": "2025-07-28T18:37:52.589335Z", "iopub.status.idle": "2025-07-28T18:37:52.603698Z", "shell.execute_reply": "2025-07-28T18:37:52.602684Z" }, "tags": [ "remove-input" ] }, "outputs": [ { "data": { "text/markdown": [ "We are currently building a documentation storage system which will host useful documents related to datasets and data owners. We will surface these documents on Guidebook." ], "text/plain": [ "<IPython.core.display.Markdown object>" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ss.documentation()" ] } ], "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": "3.12.7" } }, "nbformat": 4, "nbformat_minor": 5 }