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@@ -1 +1 @@
-410b4866
+ee5da248

index.html

@@ -398,7 +398,7 @@ <h1 class="title">Glittr stats</h1>
 <span></span>
 <span><span class="va">tag_df</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/do.call.html">do.call</a></span><span class="op">(</span><span class="va">rbind</span>, <span class="va">tag_dfs</span><span class="op">)</span> <span class="op">|&gt;</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/arrange.html">arrange</a></span><span class="op">(</span><span class="va">repositories</span><span class="op">)</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
-<p>Number of tags/topics: 58</p>
+<p>Number of tags/topics: 59</p>
 </section><section id="number-of-repositories-by-category" class="level2"><h2 class="anchored" data-anchor-id="number-of-repositories-by-category">Number of repositories by category</h2>
 <p>This is figure 2A in the manuscript.</p>
 <div class="cell">
@@ -961,13 +961,13 @@ <h1 class="title">Glittr stats</h1>
 </tr>
 <tr class="even">
 <td style="text-align: left;">cc-by-sa-4.0</td>
-<td style="text-align: right;">48</td>
-<td style="text-align: right;">7.3</td>
+<td style="text-align: right;">47</td>
+<td style="text-align: right;">7.1</td>
 </tr>
 <tr class="odd">
 <td style="text-align: left;">cc-by-4.0</td>
-<td style="text-align: right;">40</td>
-<td style="text-align: right;">6.0</td>
+<td style="text-align: right;">41</td>
+<td style="text-align: right;">6.2</td>
 </tr>
 <tr class="even">
 <td style="text-align: left;">gpl-3.0</td>
@@ -1074,11 +1074,11 @@ <h1 class="title">Glittr stats</h1>
 <tbody>
 <tr class="odd">
 <td style="text-align: left;">undefined</td>
-<td style="text-align: right;">268</td>
+<td style="text-align: right;">266</td>
 </tr>
 <tr class="even">
 <td style="text-align: left;">United States</td>
-<td style="text-align: right;">176</td>
+<td style="text-align: right;">178</td>
 </tr>
 <tr class="odd">
 <td style="text-align: left;">Canada</td>

search.json

@@ -39,7 +39,7 @@
     "href": "index.html#parse-tag-data",
     "title": "Glittr stats",
     "section": "Parse tag data",
-    "text": "Parse tag data\nHere, we create tag_df that contains information for each tag by using the glittr.org API.\n\nparsed <- request(\"https://glittr.org/api/tags\") |>\n  req_perform() |>\n  resp_body_json()\n\ntag_dfs <- list()\nfor(i in seq_along(parsed)) {\n  category <- parsed[[i]]$category\n  name <- sapply(parsed[[i]]$tags, function(x) x$name)\n  repositories <- sapply(parsed[[i]]$tags, function(x) x$repositories)\n  tag_dfs[[category]] <- data.frame(name, category, repositories)\n}\n\ntag_df <- do.call(rbind, tag_dfs) |> arrange(repositories)\n\nNumber of tags/topics: 58"
+    "text": "Parse tag data\nHere, we create tag_df that contains information for each tag by using the glittr.org API.\n\nparsed <- request(\"https://glittr.org/api/tags\") |>\n  req_perform() |>\n  resp_body_json()\n\ntag_dfs <- list()\nfor(i in seq_along(parsed)) {\n  category <- parsed[[i]]$category\n  name <- sapply(parsed[[i]]$tags, function(x) x$name)\n  repositories <- sapply(parsed[[i]]$tags, function(x) x$repositories)\n  tag_dfs[[category]] <- data.frame(name, category, repositories)\n}\n\ntag_df <- do.call(rbind, tag_dfs) |> arrange(repositories)\n\nNumber of tags/topics: 59"
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@@ -74,14 +74,14 @@
     "href": "index.html#number-of-repositories-per-license",
     "title": "Glittr stats",
     "section": "Number of repositories per license",
-    "text": "Number of repositories per license\nThis is figure 2E in the manuscript.\n\nlic_freq_data <- table(license = repo_info$license,\n                       main_category = repo_info$main_category) |>\n  as.data.frame()\n\nlic_freq_data$main_category <- factor(lic_freq_data$main_category,\n                                     levels = names(cat_table))\n\nlic_freq_plot <- lic_freq_data |>\n  ggplot(aes(x = reorder(license, Freq), y = Freq, fill = main_category)) +\n  geom_bar(stat = \"identity\") +\n  coord_flip() +\n  scale_fill_manual(values = glittr_cols) +\n  theme_classic() +\n  ggtitle(\"License type\") +\n  ylab(\"Number of repositories\") +\n  theme(legend.position = \"none\",\n        axis.title.y = element_blank())\n\nprint(lic_freq_plot)\n\n\n\n\n\n\nFigure 5: Number of repositories per license\n\n\n\n\nAnd a table with the actual numbers.\n\nrepo_info$license |>\n  table() |>\n  as.data.frame() |>\n  mutate(perc = round(Freq/nrow(repo_info)*100, 1)) |>\n  arrange(desc(Freq)) |>\n  knitr::kable()\n\n\nTable 4: Number of repositories per license\n\n\n\n\nVar1\nFreq\nperc\n\n\n\nother\n224\n33.8\n\n\nnone\n191\n28.9\n\n\nmit\n74\n11.2\n\n\ncc-by-sa-4.0\n48\n7.3\n\n\ncc-by-4.0\n40\n6.0\n\n\ngpl-3.0\n30\n4.5\n\n\ncc0-1.0\n25\n3.8\n\n\napache-2.0\n12\n1.8\n\n\nbsd-3-clause\n12\n1.8\n\n\nagpl-3.0\n2\n0.3\n\n\nartistic-2.0\n2\n0.3\n\n\nunlicense\n1\n0.2\n\n\nwtfpl\n1\n0.2"
+    "text": "Number of repositories per license\nThis is figure 2E in the manuscript.\n\nlic_freq_data <- table(license = repo_info$license,\n                       main_category = repo_info$main_category) |>\n  as.data.frame()\n\nlic_freq_data$main_category <- factor(lic_freq_data$main_category,\n                                     levels = names(cat_table))\n\nlic_freq_plot <- lic_freq_data |>\n  ggplot(aes(x = reorder(license, Freq), y = Freq, fill = main_category)) +\n  geom_bar(stat = \"identity\") +\n  coord_flip() +\n  scale_fill_manual(values = glittr_cols) +\n  theme_classic() +\n  ggtitle(\"License type\") +\n  ylab(\"Number of repositories\") +\n  theme(legend.position = \"none\",\n        axis.title.y = element_blank())\n\nprint(lic_freq_plot)\n\n\n\n\n\n\nFigure 5: Number of repositories per license\n\n\n\n\nAnd a table with the actual numbers.\n\nrepo_info$license |>\n  table() |>\n  as.data.frame() |>\n  mutate(perc = round(Freq/nrow(repo_info)*100, 1)) |>\n  arrange(desc(Freq)) |>\n  knitr::kable()\n\n\nTable 4: Number of repositories per license\n\n\n\n\nVar1\nFreq\nperc\n\n\n\nother\n224\n33.8\n\n\nnone\n191\n28.9\n\n\nmit\n74\n11.2\n\n\ncc-by-sa-4.0\n47\n7.1\n\n\ncc-by-4.0\n41\n6.2\n\n\ngpl-3.0\n30\n4.5\n\n\ncc0-1.0\n25\n3.8\n\n\napache-2.0\n12\n1.8\n\n\nbsd-3-clause\n12\n1.8\n\n\nagpl-3.0\n2\n0.3\n\n\nartistic-2.0\n2\n0.3\n\n\nunlicense\n1\n0.2\n\n\nwtfpl\n1\n0.2"
   },
   {
     "objectID": "index.html#number-of-repositories-per-country",
     "href": "index.html#number-of-repositories-per-country",
     "title": "Glittr stats",
     "section": "Number of repositories per country",
-    "text": "Number of repositories per country\nThis is figure 2F in the mansucript.\n\ncountry_freq <- table(country = repo_info$country, \n                      main_category = repo_info$main_category) |>\n  as.data.frame()\n\ncountry_freq$main_category <- factor(country_freq$main_category,\n                                     levels = names(cat_table))\n\ncountry_freq_plot <- country_freq |>\n  filter(country != \"undefined\") |>\n  ggplot(aes(x = reorder(country, Freq), y = Freq, fill = main_category)) +\n  geom_bar(stat = \"identity\") +\n  coord_flip() +\n  ggtitle(\"Country\") +\n  ylab(\"Number of repositories\") +\n  scale_fill_manual(values = glittr_cols) +\n  annotate(geom = \"text\", x = 2, y = 70,\n           label = paste(\"Repos with undefined country: \",\n                         sum(repo_info$country == \"undefined\")),\n           color=\"black\") +\n  theme_classic() +\n  theme(legend.position = \"none\",\n        axis.title.y = element_blank())\n\nprint(country_freq_plot)\n\n\n\n\n\n\nFigure 6: Number of repositories per country colored by category\n\n\n\n\nAnd a table with the actual numbers.\n\nrepo_info$country |> \n  table() |> \n  as.data.frame() |> \n  arrange(desc(Freq)) |> \n  knitr::kable()\n\n\nTable 5: Number of repositories per country\n\n\n\n\nVar1\nFreq\n\n\n\nundefined\n268\n\n\nUnited States\n176\n\n\nCanada\n31\n\n\nSwitzerland\n30\n\n\nSweden\n23\n\n\nUnited Kingdom\n23\n\n\nAustralia\n15\n\n\nFrance\n14\n\n\nGermany\n14\n\n\nNetherlands\n12\n\n\nPortugal\n11\n\n\nBelgium\n10\n\n\nSpain\n8\n\n\nDenmark\n4\n\n\nIndia\n4\n\n\nNorway\n4\n\n\nIreland\n3\n\n\nItaly\n3\n\n\nBulgaria\n2\n\n\nArgentina\n1\n\n\nChina\n1\n\n\nFinland\n1\n\n\nLuxembourg\n1\n\n\nMexico\n1\n\n\nPoland\n1\n\n\nUkraine\n1"
+    "text": "Number of repositories per country\nThis is figure 2F in the mansucript.\n\ncountry_freq <- table(country = repo_info$country, \n                      main_category = repo_info$main_category) |>\n  as.data.frame()\n\ncountry_freq$main_category <- factor(country_freq$main_category,\n                                     levels = names(cat_table))\n\ncountry_freq_plot <- country_freq |>\n  filter(country != \"undefined\") |>\n  ggplot(aes(x = reorder(country, Freq), y = Freq, fill = main_category)) +\n  geom_bar(stat = \"identity\") +\n  coord_flip() +\n  ggtitle(\"Country\") +\n  ylab(\"Number of repositories\") +\n  scale_fill_manual(values = glittr_cols) +\n  annotate(geom = \"text\", x = 2, y = 70,\n           label = paste(\"Repos with undefined country: \",\n                         sum(repo_info$country == \"undefined\")),\n           color=\"black\") +\n  theme_classic() +\n  theme(legend.position = \"none\",\n        axis.title.y = element_blank())\n\nprint(country_freq_plot)\n\n\n\n\n\n\nFigure 6: Number of repositories per country colored by category\n\n\n\n\nAnd a table with the actual numbers.\n\nrepo_info$country |> \n  table() |> \n  as.data.frame() |> \n  arrange(desc(Freq)) |> \n  knitr::kable()\n\n\nTable 5: Number of repositories per country\n\n\n\n\nVar1\nFreq\n\n\n\nundefined\n266\n\n\nUnited States\n178\n\n\nCanada\n31\n\n\nSwitzerland\n30\n\n\nSweden\n23\n\n\nUnited Kingdom\n23\n\n\nAustralia\n15\n\n\nFrance\n14\n\n\nGermany\n14\n\n\nNetherlands\n12\n\n\nPortugal\n11\n\n\nBelgium\n10\n\n\nSpain\n8\n\n\nDenmark\n4\n\n\nIndia\n4\n\n\nNorway\n4\n\n\nIreland\n3\n\n\nItaly\n3\n\n\nBulgaria\n2\n\n\nArgentina\n1\n\n\nChina\n1\n\n\nFinland\n1\n\n\nLuxembourg\n1\n\n\nMexico\n1\n\n\nPoland\n1\n\n\nUkraine\n1"
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     "objectID": "index.html#summary-plot",

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@@ -2,6 +2,6 @@
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-    <lastmod>2024-10-06T01:02:50.477Z</lastmod>
+    <lastmod>2024-10-13T01:02:40.685Z</lastmod>
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