{"id":6682,"date":"2022-08-07T17:37:05","date_gmt":"2022-08-07T17:37:05","guid":{"rendered":"https:\/\/www.garysieling.com\/blog\/?p=6682"},"modified":"2022-08-07T18:20:51","modified_gmt":"2022-08-07T18:20:51","slug":"plotting-cpu-over-time-with-r","status":"publish","type":"post","link":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/","title":{"rendered":"R: Plotting CPU% over time"},"content":{"rendered":"\n<p>Given a dataframe (df) containing CPU measurements over time:<\/p>\n\n\n\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\" data-enlighter-theme=\"\" data-enlighter-highlight=\"\" data-enlighter-linenumbers=\"\" data-enlighter-lineoffset=\"\" data-enlighter-title=\"\" data-enlighter-group=\"\"> cpu memory_timepoint  max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index<\/pre>\n\n\n\n<p><br>1 0.686 27965522. 6067715047. 0 0 0 0 1<br>2 0.0025 27965522. 6067715047. 0 0 0 0 2<br>3 0.003 27797750. 6067715047. 0 0 0 0 3<\/p>\n\n\n\n<p>This code will make a simple chart:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>library('ggplot2')\nlibrary('scales')\n\nggplot(df, aes(x=index, y=cpu)) + \n  geom_point(aes()) + \n     labs(\n       subtitle=\"Container Tracking\", \n       y=\"CPU\", \n       x=\"Timepoint\", \n       title=\"CPU over time\", \n       caption = \"Source: docker stats\") + \n  scale_y_continuous(labels = scales::percent) + \n  scale_x_continuous(breaks = pretty_breaks(n=max(df$index))) <\/code><\/pre>\n\n\n\n<p>Save the plot:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>ggsave(\"~\/Desktop\/cpu.png\", last_plot())<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"715\" height=\"1030\" src=\"https:\/\/www.garysieling.com\/blog\/wp-content\/uploads\/2022\/08\/cpu-715x1030.png\" alt=\"\" class=\"wp-image-6684\" srcset=\"https:\/\/www.garysieling.com\/blog\/wp-content\/uploads\/2022\/08\/cpu-715x1030.png 715w, https:\/\/www.garysieling.com\/blog\/wp-content\/uploads\/2022\/08\/cpu-208x300.png 208w, https:\/\/www.garysieling.com\/blog\/wp-content\/uploads\/2022\/08\/cpu-768x1106.png 768w, https:\/\/www.garysieling.com\/blog\/wp-content\/uploads\/2022\/08\/cpu-1067x1536.png 1067w, https:\/\/www.garysieling.com\/blog\/wp-content\/uploads\/2022\/08\/cpu-1422x2048.png 1422w, https:\/\/www.garysieling.com\/blog\/wp-content\/uploads\/2022\/08\/cpu.png 1441w\" sizes=\"(max-width: 715px) 100vw, 715px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Given a dataframe (df) containing CPU measurements over time: 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: Save the plot:<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[6,8],"tags":[450],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"Given a dataframe (df) containing CPU measurements over time: cpu memory_timepoint max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: library(&#039;ggplot2&#039;) library(&#039;scales&#039;) ggplot(df, aes(x=index, y=cpu)) +\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"gary\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.9\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"Gary Sieling - Software Engineer\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"R: Plotting CPU% over time - Gary Sieling\" \/>\n\t\t<meta property=\"og:description\" content=\"Given a dataframe (df) containing CPU measurements over time: cpu memory_timepoint max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: library(&#039;ggplot2&#039;) library(&#039;scales&#039;) ggplot(df, aes(x=index, y=cpu)) +\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2022-08-07T17:37:05+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2022-08-07T18:20:51+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"R: Plotting CPU% over time - Gary Sieling\" \/>\n\t\t<meta name=\"twitter:description\" content=\"Given a dataframe (df) containing CPU measurements over time: cpu memory_timepoint max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: library(&#039;ggplot2&#039;) library(&#039;scales&#039;) ggplot(df, aes(x=index, y=cpu)) +\" \/>\n\t\t<script type=\"application\/ld+json\" class=\"aioseo-schema\">\n\t\t\t{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BlogPosting\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#blogposting\",\"name\":\"R: Plotting CPU% over time - Gary Sieling\",\"headline\":\"R: Plotting CPU% over time\",\"author\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/author\\\/gary\\\/#author\"},\"publisher\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/#organization\"},\"image\":{\"@type\":\"ImageObject\",\"url\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/wp-content\\\/uploads\\\/2022\\\/08\\\/cpu.png\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#articleImage\",\"width\":1441,\"height\":2075},\"datePublished\":\"2022-08-07T17:37:05+00:00\",\"dateModified\":\"2022-08-07T18:20:51+00:00\",\"inLanguage\":\"en-US\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#webpage\"},\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#webpage\"},\"articleSection\":\"Data Science, Devops, R\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#breadcrumblist\",\"itemListElement\":[{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog#listItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.garysieling.com\\\/blog\",\"nextItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/category\\\/data-science\\\/#listItem\",\"name\":\"Data Science\"}},{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/category\\\/data-science\\\/#listItem\",\"position\":2,\"name\":\"Data Science\",\"item\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/category\\\/data-science\\\/\",\"nextItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#listItem\",\"name\":\"R: Plotting CPU% over time\"},\"previousItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog#listItem\",\"name\":\"Home\"}},{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#listItem\",\"position\":3,\"name\":\"R: Plotting CPU% over time\",\"previousItem\":{\"@type\":\"ListItem\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/category\\\/data-science\\\/#listItem\",\"name\":\"Data Science\"}}]},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/#organization\",\"name\":\"Gary Sieling\",\"description\":\"Software Engineer\",\"url\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/author\\\/gary\\\/#author\",\"url\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/author\\\/gary\\\/\",\"name\":\"gary\",\"image\":{\"@type\":\"ImageObject\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#authorImage\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/0be925276d848ffe98a6a9dc8cf33e67?s=96&d=identicon&r=g\",\"width\":96,\"height\":96,\"caption\":\"gary\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#webpage\",\"url\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/\",\"name\":\"R: Plotting CPU% over time - Gary Sieling\",\"description\":\"Given a dataframe (df) containing CPU measurements over time: cpu memory_timepoint max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: library('ggplot2') library('scales') ggplot(df, aes(x=index, y=cpu)) +\",\"inLanguage\":\"en-US\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/#website\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/plotting-cpu-over-time-with-r\\\/#breadcrumblist\"},\"author\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/author\\\/gary\\\/#author\"},\"creator\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/author\\\/gary\\\/#author\"},\"datePublished\":\"2022-08-07T17:37:05+00:00\",\"dateModified\":\"2022-08-07T18:20:51+00:00\"},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/\",\"name\":\"Gary Sieling\",\"description\":\"Software Engineer\",\"inLanguage\":\"en-US\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.garysieling.com\\\/blog\\\/#organization\"}}]}\n\t\t<\/script>\n\t\t<!-- All in One SEO -->\n\n","aioseo_head_json":{"title":"R: Plotting CPU% over time - Gary Sieling","description":"Given a dataframe (df) containing CPU measurements over time: cpu memory_timepoint max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: library('ggplot2') library('scales') ggplot(df, aes(x=index, y=cpu)) +","canonical_url":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"BlogPosting","@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#blogposting","name":"R: Plotting CPU% over time - Gary Sieling","headline":"R: Plotting CPU% over time","author":{"@id":"https:\/\/www.garysieling.com\/blog\/author\/gary\/#author"},"publisher":{"@id":"https:\/\/www.garysieling.com\/blog\/#organization"},"image":{"@type":"ImageObject","url":"https:\/\/www.garysieling.com\/blog\/wp-content\/uploads\/2022\/08\/cpu.png","@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#articleImage","width":1441,"height":2075},"datePublished":"2022-08-07T17:37:05+00:00","dateModified":"2022-08-07T18:20:51+00:00","inLanguage":"en-US","mainEntityOfPage":{"@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#webpage"},"isPartOf":{"@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#webpage"},"articleSection":"Data Science, Devops, R"},{"@type":"BreadcrumbList","@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#breadcrumblist","itemListElement":[{"@type":"ListItem","@id":"https:\/\/www.garysieling.com\/blog#listItem","position":1,"name":"Home","item":"https:\/\/www.garysieling.com\/blog","nextItem":{"@type":"ListItem","@id":"https:\/\/www.garysieling.com\/blog\/category\/data-science\/#listItem","name":"Data Science"}},{"@type":"ListItem","@id":"https:\/\/www.garysieling.com\/blog\/category\/data-science\/#listItem","position":2,"name":"Data Science","item":"https:\/\/www.garysieling.com\/blog\/category\/data-science\/","nextItem":{"@type":"ListItem","@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#listItem","name":"R: Plotting CPU% over time"},"previousItem":{"@type":"ListItem","@id":"https:\/\/www.garysieling.com\/blog#listItem","name":"Home"}},{"@type":"ListItem","@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#listItem","position":3,"name":"R: Plotting CPU% over time","previousItem":{"@type":"ListItem","@id":"https:\/\/www.garysieling.com\/blog\/category\/data-science\/#listItem","name":"Data Science"}}]},{"@type":"Organization","@id":"https:\/\/www.garysieling.com\/blog\/#organization","name":"Gary Sieling","description":"Software Engineer","url":"https:\/\/www.garysieling.com\/blog\/"},{"@type":"Person","@id":"https:\/\/www.garysieling.com\/blog\/author\/gary\/#author","url":"https:\/\/www.garysieling.com\/blog\/author\/gary\/","name":"gary","image":{"@type":"ImageObject","@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#authorImage","url":"https:\/\/secure.gravatar.com\/avatar\/0be925276d848ffe98a6a9dc8cf33e67?s=96&d=identicon&r=g","width":96,"height":96,"caption":"gary"}},{"@type":"WebPage","@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#webpage","url":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/","name":"R: Plotting CPU% over time - Gary Sieling","description":"Given a dataframe (df) containing CPU measurements over time: cpu memory_timepoint max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: library('ggplot2') library('scales') ggplot(df, aes(x=index, y=cpu)) +","inLanguage":"en-US","isPartOf":{"@id":"https:\/\/www.garysieling.com\/blog\/#website"},"breadcrumb":{"@id":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/#breadcrumblist"},"author":{"@id":"https:\/\/www.garysieling.com\/blog\/author\/gary\/#author"},"creator":{"@id":"https:\/\/www.garysieling.com\/blog\/author\/gary\/#author"},"datePublished":"2022-08-07T17:37:05+00:00","dateModified":"2022-08-07T18:20:51+00:00"},{"@type":"WebSite","@id":"https:\/\/www.garysieling.com\/blog\/#website","url":"https:\/\/www.garysieling.com\/blog\/","name":"Gary Sieling","description":"Software Engineer","inLanguage":"en-US","publisher":{"@id":"https:\/\/www.garysieling.com\/blog\/#organization"}}]},"og:locale":"en_US","og:site_name":"Gary Sieling - Software Engineer","og:type":"article","og:title":"R: Plotting CPU% over time - Gary Sieling","og:description":"Given a dataframe (df) containing CPU measurements over time: cpu memory_timepoint max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: library('ggplot2') library('scales') ggplot(df, aes(x=index, y=cpu)) +","og:url":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/","article:published_time":"2022-08-07T17:37:05+00:00","article:modified_time":"2022-08-07T18:20:51+00:00","twitter:card":"summary_large_image","twitter:title":"R: Plotting CPU% over time - Gary Sieling","twitter:description":"Given a dataframe (df) containing CPU measurements over time: cpu memory_timepoint max_memory net_io_timeout max_net_io block_io_timepoint max_block_io index 1 0.686 27965522. 6067715047. 0 0 0 0 12 0.0025 27965522. 6067715047. 0 0 0 0 23 0.003 27797750. 6067715047. 0 0 0 0 3 This code will make a simple chart: library('ggplot2') library('scales') ggplot(df, aes(x=index, y=cpu)) +"},"aioseo_meta_data":{"post_id":"6682","title":null,"description":null,"keywords":null,"keyphrases":null,"primary_term":null,"canonical_url":null,"og_title":null,"og_description":null,"og_object_type":"default","og_image_type":"default","og_image_url":null,"og_image_width":null,"og_image_height":null,"og_image_custom_url":null,"og_image_custom_fields":null,"og_video":null,"og_custom_url":null,"og_article_section":null,"og_article_tags":null,"twitter_use_og":false,"twitter_card":"default","twitter_image_type":"default","twitter_image_url":null,"twitter_image_custom_url":null,"twitter_image_custom_fields":null,"twitter_title":null,"twitter_description":null,"schema":{"blockGraphs":[],"customGraphs":[],"default":{"data":{"Article":[],"Course":[],"Dataset":[],"FAQPage":[],"Movie":[],"Person":[],"Product":[],"ProductReview":[],"Car":[],"Recipe":[],"Service":[],"SoftwareApplication":[],"WebPage":[]},"graphName":"","isEnabled":true},"graphs":[]},"schema_type":"default","schema_type_options":null,"pillar_content":false,"robots_default":true,"robots_noindex":false,"robots_noarchive":false,"robots_nosnippet":false,"robots_nofollow":false,"robots_noimageindex":false,"robots_noodp":false,"robots_notranslate":false,"robots_max_snippet":null,"robots_max_videopreview":null,"robots_max_imagepreview":"large","priority":null,"frequency":null,"local_seo":null,"limit_modified_date":false,"created":"2023-02-04 16:02:28","updated":"2026-07-06 02:37:51","ai":null,"breadcrumb_settings":null,"seo_analyzer_scan_date":null},"aioseo_breadcrumb":"<div class=\"aioseo-breadcrumbs\"><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/www.garysieling.com\/blog\" title=\"Home\">Home<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">&raquo;<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\t<a href=\"https:\/\/www.garysieling.com\/blog\/category\/data-science\/\" title=\"Data Science\">Data Science<\/a>\n\t\t<\/span><span class=\"aioseo-breadcrumb-separator\">&raquo;<\/span><span class=\"aioseo-breadcrumb\">\n\t\t\tR: Plotting CPU% over time\n\t\t<\/span><\/div>","aioseo_breadcrumb_json":[{"label":"Home","link":"https:\/\/www.garysieling.com\/blog"},{"label":"Data Science","link":"https:\/\/www.garysieling.com\/blog\/category\/data-science\/"},{"label":"R: Plotting CPU% over time","link":"https:\/\/www.garysieling.com\/blog\/plotting-cpu-over-time-with-r\/"}],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/posts\/6682"}],"collection":[{"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/comments?post=6682"}],"version-history":[{"count":3,"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/posts\/6682\/revisions"}],"predecessor-version":[{"id":6690,"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/posts\/6682\/revisions\/6690"}],"wp:attachment":[{"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/media?parent=6682"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/categories?post=6682"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.garysieling.com\/blog\/wp-json\/wp\/v2\/tags?post=6682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}