From 3c626f1b55a844891a179a16edc6119c372ba47a Mon Sep 17 00:00:00 2001
From: Quarto GHA Workflow Runner <quarto-github-actions-publish@example.com>
Date: Sun, 21 Jan 2024 00:41:42 +0000
Subject: [PATCH] Built site for gh-pages

---
 .nojekyll   | 2 +-
 index.html  | 6 +++---
 search.json | 2 +-
 sitemap.xml | 6 +++---
 4 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/.nojekyll b/.nojekyll
index ce4e851a..10041afb 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
-bc4360ed
\ No newline at end of file
+ba550089
\ No newline at end of file
diff --git a/index.html b/index.html
index 19e2527e..eca4653b 100644
--- a/index.html
+++ b/index.html
@@ -353,9 +353,9 @@ <h2 class="anchored" data-anchor-id="the-growth-of-open-source-in-healthcare">Th
 </details>
 <div class="cell-output cell-output-display">
 
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@@ -417,7 +417,7 @@ <h2 class="anchored" data-anchor-id="latest-open-source-statistics">Latest open-
 <span id="cb2-29"><a href="#cb2-29" aria-hidden="true" tabindex="-1"></a>Markdown(tabulate(latest_df, headers<span class="op">=</span><span class="st">'keys'</span>, tablefmt<span class="op">=</span><span class="st">'pipe'</span>, showindex<span class="op">=</span><span class="va">False</span>))</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </details>
 <div class="cell-output cell-output-display">
-<p>Data updated as of: <code>14 January 2024</code>.</p>
+<p>Data updated as of: <code>21 January 2024</code>.</p>
 </div>
 <div class="cell-output cell-output-display" data-execution_count="2">
 <div id="tbl-open-repos" class="anchored">
diff --git a/search.json b/search.json
index 00d9fea8..b19cded7 100644
--- a/search.json
+++ b/search.json
@@ -95,7 +95,7 @@
     "href": "index.html#latest-open-source-statistics",
     "title": "Open-source Healthcare Statistics",
     "section": "Latest open-source statistics",
-    "text": "Latest open-source statistics\n\n\nCode\nimport pandas as pd\nimport plotly.graph_objects as go\nimport datetime\nfrom dateutil.relativedelta import relativedelta\nfrom IPython.display import display, Markdown\nfrom tabulate import tabulate\n\n# Load data\ndf = pd.read_csv(\"../data/org_repos_agg.csv\")\n\n# Convert the \"Date\" column to a datetime dtype\ndf['Date'] = pd.to_datetime(df['Date'])\n\n# Filter the latest date for each organization\nlatest_dates = df.groupby('Organisation')['Date'].idxmax()\nlatest_df = df.loc[latest_dates]\n\n# Create a new column with hyperlinks for the \"Organisation\" column\nlatest_df['Organisation'] = latest_df.apply(lambda x: f\"[{x['Organisation']}]({x['URL']})\", axis=1)\n\n# Drop the \"Date\" column and sort by \"Open Repositories\"\nlatest_df = latest_df.drop(['Date', 'URL'], axis=1).sort_values('Open Repositories', ascending=False)\n\n# Calculate date data was rendered\ntoday = datetime.date.today()\nformatted_date = today.strftime(\"%d %B %Y\")\ndisplay(Markdown('Data updated as of: `%s`.' % formatted_date))\n\nMarkdown(tabulate(latest_df, headers='keys', tablefmt='pipe', showindex=False))\n\n\nData updated as of: 14 January 2024.\n\n\n\n\nTable 1: open-source statistics\n\n\n\n\n\n\n\n\nOrganisation\nOpen Repositories\nTop Language\nTop License\n\n\n\n\nnhsconnect\n195\nHTML\nApache License 2.0\n\n\nopensafely\n188\nPython\nMIT License\n\n\nNHSDigital\n182\nPython\nMIT License\n\n\nnhsuk\n173\nHTML\nMIT License\n\n\nebmdatalab\n131\nPython\nMIT License\n\n\nnhsbsa\n117\nHTML\nMIT License\n\n\nnhsx\n90\nPython\nMIT License\n\n\nHFAnalyticsLab\n59\nR\nMIT License\n\n\nukhsa-collaboration\n58\nPython\nMIT License\n\n\nnice-digital\n57\nJavaScript\nMIT License\n\n\nHealth-Education-England\n50\nJava\nMIT License\n\n\nopensafely-core\n50\nPython\nOther\n\n\nnhsengland\n41\nPython\nMIT License\n\n\nnhs-r-community\n38\nR\nCreative Commons Zero v1.0 Universal\n\n\nCDU-data-science-team\n33\nR\nOther\n\n\nUKHSA-Internal\n30\nPython\nMIT License\n\n\nBHFDSC\n30\nPython\nApache License 2.0\n\n\nnhs-bnssg-analytics\n25\nR\nGNU General Public License v3.0\n\n\nThe-Strategy-Unit\n24\nR\nOther\n\n\nNHSLeadership\n17\nHTML\nOther\n\n\n111Online\n13\nC#\nApache License 2.0\n\n\nnhs-pycom\n11\nPython\nMIT License\n\n\nCQCDigital\n5\nC#\nMIT License\n\n\nMHRA\n5\nJavaScript\nMIT License\n\n\nNottingham-and-Nottinghamshire-ICS\n4\nR\nMIT License\n\n\nNHS-Blood-and-Transplant\n1\nC#\nGNU General Public License v3.0"
+    "text": "Latest open-source statistics\n\n\nCode\nimport pandas as pd\nimport plotly.graph_objects as go\nimport datetime\nfrom dateutil.relativedelta import relativedelta\nfrom IPython.display import display, Markdown\nfrom tabulate import tabulate\n\n# Load data\ndf = pd.read_csv(\"../data/org_repos_agg.csv\")\n\n# Convert the \"Date\" column to a datetime dtype\ndf['Date'] = pd.to_datetime(df['Date'])\n\n# Filter the latest date for each organization\nlatest_dates = df.groupby('Organisation')['Date'].idxmax()\nlatest_df = df.loc[latest_dates]\n\n# Create a new column with hyperlinks for the \"Organisation\" column\nlatest_df['Organisation'] = latest_df.apply(lambda x: f\"[{x['Organisation']}]({x['URL']})\", axis=1)\n\n# Drop the \"Date\" column and sort by \"Open Repositories\"\nlatest_df = latest_df.drop(['Date', 'URL'], axis=1).sort_values('Open Repositories', ascending=False)\n\n# Calculate date data was rendered\ntoday = datetime.date.today()\nformatted_date = today.strftime(\"%d %B %Y\")\ndisplay(Markdown('Data updated as of: `%s`.' % formatted_date))\n\nMarkdown(tabulate(latest_df, headers='keys', tablefmt='pipe', showindex=False))\n\n\nData updated as of: 21 January 2024.\n\n\n\n\nTable 1: open-source statistics\n\n\n\n\n\n\n\n\nOrganisation\nOpen Repositories\nTop Language\nTop License\n\n\n\n\nnhsconnect\n195\nHTML\nApache License 2.0\n\n\nopensafely\n188\nPython\nMIT License\n\n\nNHSDigital\n182\nPython\nMIT License\n\n\nnhsuk\n173\nHTML\nMIT License\n\n\nebmdatalab\n131\nPython\nMIT License\n\n\nnhsbsa\n117\nHTML\nMIT License\n\n\nnhsx\n90\nPython\nMIT License\n\n\nHFAnalyticsLab\n59\nR\nMIT License\n\n\nukhsa-collaboration\n58\nPython\nMIT License\n\n\nnice-digital\n57\nJavaScript\nMIT License\n\n\nHealth-Education-England\n50\nJava\nMIT License\n\n\nopensafely-core\n50\nPython\nOther\n\n\nnhsengland\n41\nPython\nMIT License\n\n\nnhs-r-community\n38\nR\nCreative Commons Zero v1.0 Universal\n\n\nCDU-data-science-team\n33\nR\nOther\n\n\nUKHSA-Internal\n30\nPython\nMIT License\n\n\nBHFDSC\n30\nPython\nApache License 2.0\n\n\nnhs-bnssg-analytics\n25\nR\nGNU General Public License v3.0\n\n\nThe-Strategy-Unit\n24\nR\nOther\n\n\nNHSLeadership\n17\nHTML\nOther\n\n\n111Online\n13\nC#\nApache License 2.0\n\n\nnhs-pycom\n11\nPython\nMIT License\n\n\nCQCDigital\n5\nC#\nMIT License\n\n\nMHRA\n5\nJavaScript\nMIT License\n\n\nNottingham-and-Nottinghamshire-ICS\n4\nR\nMIT License\n\n\nNHS-Blood-and-Transplant\n1\nC#\nGNU General Public License v3.0"
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   {
     "objectID": "index.html#nhs-python-community-slack",
diff --git a/sitemap.xml b/sitemap.xml
index 239e62fb..22718389 100644
--- a/sitemap.xml
+++ b/sitemap.xml
@@ -2,14 +2,14 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://nhs-pycom.github.io/opensource-health-statistics/pages/github_api_call.html</loc>
-    <lastmod>2024-01-14T00:42:07.614Z</lastmod>
+    <lastmod>2024-01-21T00:41:41.998Z</lastmod>
   </url>
   <url>
     <loc>https://nhs-pycom.github.io/opensource-health-statistics/about.html</loc>
-    <lastmod>2024-01-14T00:42:03.270Z</lastmod>
+    <lastmod>2024-01-21T00:41:37.730Z</lastmod>
   </url>
   <url>
     <loc>https://nhs-pycom.github.io/opensource-health-statistics/index.html</loc>
-    <lastmod>2024-01-14T00:42:07.294Z</lastmod>
+    <lastmod>2024-01-21T00:41:41.690Z</lastmod>
   </url>
 </urlset>