{"id":310,"date":"2021-09-06T00:00:00","date_gmt":"2021-09-06T00:00:00","guid":{"rendered":"https:\/\/tac.debuzzify.com\/?p=310"},"modified":"2023-06-22T13:47:03","modified_gmt":"2023-06-22T13:47:03","slug":"summarize-datasets-in-pandas","status":"publish","type":"post","link":"https:\/\/www.the-analytics.club\/summarize-datasets-in-pandas\/","title":{"rendered":"A Better Way to Summarize Pandas Dataframes."},"content":{"rendered":"\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em><strong>Describe<\/strong>&nbsp;is the first function I try on any new dataset. But I found a better one now.<\/em><\/p>\n<\/blockquote>\n\n\n\n<p>I replaced it with Skimpy. It\u2019s a small Python package that shows some extended summary results for a dataset. You can also run it on a terminal window without entering a Python shell.<\/p>\n\n\n\n<p>You can install it from PyPI using the following command.<\/p>\n\n\n\n<p><strong>Related: <a href=\"\/python-shell-commands\"><em>How to Execute Shell Commands With Python?<\/em><\/a><\/strong><\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('bash');<\/p>\n<p>            language_class_name = 'language-bash';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"pip install skimpy\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9FF\">pip install skimpy<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">Python<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p><strong>Related: <a href=\"\/pandas-replace-column-values\"><em>Pandas Replace The Faster and Better Approach to Change Values of a Column.<\/em><\/a><\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Why Skimpy?<\/h2>\n\n\n\n<p>In a previous post, I shared three&nbsp;<a href=\"https:\/\/towardsdatascience.com\/how-to-do-a-ton-of-analysis-in-the-blink-of-an-eye-16fa9affce06\" target=\"_blank\" rel=\"noopener\">Python exploratory data analysis tools<\/a>. With them, you can generate more complete reports about your datasets in the blink of an eye.<\/p>\n\n\n\n<p>But what if you need a simpler cut?<\/p>\n\n\n\n<p>If\u00a0I had to start with a dataset, I\u2019d <code>run\u00a0df.describe()<\/code>\u00a0almost all the time. It gives you a nice tabular view of important numbers.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"594\" height=\"313\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-73.png\" alt=\"The iris data set\" class=\"wp-image-896\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-73.png 594w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-73-300x158.png 300w\" sizes=\"(max-width: 594px) 100vw, 594px\" \/><\/figure><\/div>\n\n\n<p>But to study the dataset more closely, I have to create histograms and several other summaries.<\/p>\n\n\n\n<p>This is where Skimpy helps us. With a single command, it generates more matrices and histograms about the dataset.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('python');<\/p>\n<p>            language_class_name = 'language-python';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"from skimpy import skim\nskim(df)\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #81A1C1\">from<\/span><span style=\"color: #D8DEE9FF\"> skimpy <\/span><span style=\"color: #81A1C1\">import<\/span><span style=\"color: #D8DEE9FF\"> skim<\/span><\/span>\n<span class=\"line\"><span style=\"color: #88C0D0\">skim<\/span><span style=\"color: #ECEFF4\">(<\/span><span style=\"color: #D8DEE9FF\">df<\/span><span style=\"color: #ECEFF4\">)<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">Python<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"669\" height=\"982\" src=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-74.png\" alt=\"The quick dataset summary of Skimpy \" class=\"wp-image-897\" title=\"\" srcset=\"https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-74.png 669w, https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/image-74-204x300.png 204w\" sizes=\"(max-width: 669px) 100vw, 669px\" \/><\/figure><\/div>\n\n\n<p>The summary above contains more information in a visually organized way.<\/p>\n\n\n\n<p>Each section summarizes variables of the same type. Numerical variables also include histograms. I find the first and last dates and frequency details about DateTime variables handy.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Summarize datasets in a terminal; You don&#8217;t need a Python REPL.<\/h2>\n\n\n\n<p>You don\u2019t have to get into a Python reply or Jupyter Notebook every time to use Skimpy. You can use Skimpy CLI on the dataset to summarize.<\/p>\n\n\n\n<p><script><br \/>\n            \/* This is ugly, but to ensure we only create this function once, and only call<br \/>\n            each JS library once, we need to check here in case there are multiple Wagtail<br \/>\n            blocks on this page. This will ensure we only load the minimum payload. *\/<br \/>\n            if(typeof loadPrismLanguage != 'function') {<br \/>\n                window.loadPrismLanguage = function(language) {<br \/>\n                    var libraries = [<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs\",<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/prism.min.js\"<br \/>\n                        },<br \/>\n                        {<br \/>\n                            \"id\": \"code-block-prismjs-\" + language,<br \/>\n                            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/components\/prism-\" + language + \".min.js\"<br \/>\n                        },<br \/>\n        {<br \/>\n            \"id\": \"code-block-line-numbers\",<br \/>\n            \"url\": \"\/\/cdnjs.cloudflare.com\/ajax\/libs\/prism\/1.25.0\/plugins\/line-numbers\/prism-line-numbers.min.js\"<br \/>\n        }<\/p>\n<p>                    ];<\/p>\n<p>                    for(const library of libraries) {<br \/>\n                        if(document.getElementById(library[\"id\"]) == null) {<br \/>\n                            var s = document.createElement(\"script\");<br \/>\n                            s.id = library[\"id\"];<br \/>\n                            s.type = \"text\/javascript\";<br \/>\n                            s.src = library[\"url\"];<br \/>\n                            s.async = false;<br \/>\n                            document.body.appendChild(s);<br \/>\n                        }<br \/>\n                    }<br \/>\n                };<br \/>\n            }<\/p>\n<p>            loadPrismLanguage('bash');<\/p>\n<p>            language_class_name = 'language-bash';<br \/>\n            <\/script><\/p>\n\n\n\n<div class=\"wp-block-kevinbatdorf-code-block-pro padding-bottom-disabled\" data-code-block-pro-font-family=\"Code-Pro-JetBrains-Mono\" style=\"font-size:16px;font-family:Code-Pro-JetBrains-Mono,ui-monospace,SFMono-Regular,Menlo,Monaco,Consolas,monospace;line-height:20px\"><span style=\"display:block;padding:16px 0 0 16px;margin-bottom:-1px;width:100%;text-align:left;background-color:#2e3440ff\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"54\" height=\"14\" viewBox=\"0 0 54 14\"><g fill=\"none\" fill-rule=\"evenodd\" transform=\"translate(1 1)\"><circle cx=\"6\" cy=\"6\" r=\"6\" fill=\"#FF5F56\" stroke=\"#E0443E\" stroke-width=\".5\"><\/circle><circle cx=\"26\" cy=\"6\" r=\"6\" fill=\"#FFBD2E\" stroke=\"#DEA123\" stroke-width=\".5\"><\/circle><circle cx=\"46\" cy=\"6\" r=\"6\" fill=\"#27C93F\" stroke=\"#1AAB29\" stroke-width=\".5\"><\/circle><\/g><\/svg><\/span><span role=\"button\" tabindex=\"0\" data-code=\"skimpy iris.csv\" style=\"color:#d8dee9ff;display:none\" aria-label=\"Copy\" class=\"code-block-pro-copy-button\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" style=\"width:24px;height:24px\" fill=\"none\" viewBox=\"0 0 24 24\" stroke=\"currentColor\" stroke-width=\"2\"><path class=\"with-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2m-6 9l2 2 4-4\"><\/path><path class=\"without-check\" stroke-linecap=\"round\" stroke-linejoin=\"round\" d=\"M9 5H7a2 2 0 00-2 2v12a2 2 0 002 2h10a2 2 0 002-2V7a2 2 0 00-2-2h-2M9 5a2 2 0 002 2h2a2 2 0 002-2M9 5a2 2 0 012-2h2a2 2 0 012 2\"><\/path><\/svg><\/span><pre class=\"shiki nord\" style=\"background-color: #2e3440ff\" tabindex=\"0\"><code><span class=\"line\"><span style=\"color: #D8DEE9\">skimpy iris.csv<\/span><\/span><\/code><\/pre><span style=\"display:flex;align-items:flex-end;padding:10px;width:100%;justify-content:flex-end;background-color:#2e3440ff;color:#c8d0e0;font-size:12px;line-height:1;position:relative\">TOML<\/span><\/div>\n\n\n\n<p><script><br \/>\n                var block_num = (typeof block_num === 'undefined') ? 0 : block_num;<br \/>\n                block_num++;<br \/>\n                document.getElementById('target-element-current').className = language_class_name;<br \/>\n                document.getElementById('target-element-current').id = 'target-element-' + block_num;<br \/>\n            <\/script><\/p>\n\n\n\n<p>Running the above command on a terminal will print the same result in the window and return.<\/p>\n\n\n\n<p>This way, Skimpy is a convenient way to generate quick summaries of any dataset, even without writing any code.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Final thought<\/strong><\/h2>\n\n\n\n<p>Skimpy is a new tool in the Python ecosystem to help us work with data more easily. Yet, it already solves a fantastic problem by generating extended summary results.<\/p>\n\n\n\n<p>You can learn more about it from their&nbsp;<a href=\"https:\/\/github.com\/aeturrell\/skimpy\" target=\"_blank\" rel=\"noopener\">GitHub page<\/a>. And you can also contribute to improving the tool as well.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-dots\"\/>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Thanks for the read, friend. It seems you and I have lots of common interests. Say Hi to me on <a href=\"https:\/\/www.linkedin.com\/in\/thuwarakesh\/\" target=\"_blank\" rel=\"nofollow noopener\"><strong>LinkedIn<\/strong><\/a>, <a href=\"https:\/\/twitter.com\/Thuwarakesh\" target=\"_blank\" rel=\"nofollow noopener\"><strong>Twitter<\/strong><\/a>, and <a href=\"https:\/\/thuwarakesh.medium.com\/subscribe\" target=\"_blank\" rel=\"nofollow noopener\"><strong>Medium<\/strong><\/a>. <\/p>\n\n\n\n<p>Not a Medium member yet? Please use this link to <a href=\"https:\/\/thuwarakesh.medium.com\/membership\" target=\"_blank\" rel=\"nofollow noopener\"><strong>become a member<\/strong><\/a> because I earn a commission for referring at no extra cost for you.<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Skimpy makes it incredibly easy to summarize datasets in notebooks and terminals.<\/p>\n","protected":false},"author":2,"featured_media":196,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":""},"categories":[4,7],"tags":[],"taxonomy_info":{"category":[{"value":4,"label":"Data Science"},{"value":7,"label":"Data Wrangling"}]},"featured_image_src_large":["https:\/\/www.the-analytics.club\/wp-content\/uploads\/2023\/06\/priscilla-du-preez-oedkpaxymxu-unsplash-1--1024x683.jpg",1024,683,true],"author_info":{"display_name":"Thuwarakesh","author_link":"https:\/\/www.the-analytics.club\/author\/thuwarakesh\/"},"comment_info":0,"category_info":[{"term_id":4,"name":"Data Science","slug":"data-science","term_group":0,"term_taxonomy_id":4,"taxonomy":"category","description":"","parent":0,"count":22,"filter":"raw","cat_ID":4,"category_count":22,"category_description":"","cat_name":"Data Science","category_nicename":"data-science","category_parent":0},{"term_id":7,"name":"Data Wrangling","slug":"data-wrangling","term_group":0,"term_taxonomy_id":7,"taxonomy":"category","description":"","parent":4,"count":4,"filter":"raw","cat_ID":7,"category_count":4,"category_description":"","cat_name":"Data Wrangling","category_nicename":"data-wrangling","category_parent":4}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/posts\/310"}],"collection":[{"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/comments?post=310"}],"version-history":[{"count":2,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/posts\/310\/revisions"}],"predecessor-version":[{"id":899,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/posts\/310\/revisions\/899"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/media\/196"}],"wp:attachment":[{"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/media?parent=310"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/categories?post=310"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.the-analytics.club\/wp-json\/wp\/v2\/tags?post=310"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}