{"id":2328,"date":"2020-09-20T17:31:48","date_gmt":"2020-09-20T17:31:48","guid":{"rendered":"https:\/\/portfolio.accrualhub.com\/powergi2\/?p=355"},"modified":"2022-07-19T02:21:18","modified_gmt":"2022-07-19T02:21:18","slug":"visual-of-the-week-histograms-book-ratings","status":"publish","type":"post","link":"https:\/\/powergi.net\/de\/blog\/visual-of-the-week-histograms-book-ratings\/","title":{"rendered":"Visual of the week: Histograms | Book Ratings"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2328\" class=\"elementor elementor-2328\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-12337783 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"12337783\" data-element_type=\"section\" data-e-type=\"section\" data-settings='{\"jet_parallax_layout_list\":[]}'>\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-156b8dc9\" data-id=\"156b8dc9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-72b6a84f elementor-widget elementor-widget-text-editor\" data-id=\"72b6a84f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\n<p class=\"wp-block-paragraph\">Histograms are a great way to explore data and to see how it\u2019s distributed among different dimensions. \u00a0Today we will be looking at book ratings data to try to answer a couple of questions using Power BI visualizations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Book-Crossing Dataset<\/strong> <br>The dataset contains 3 tables:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>BX-Book Ratings<\/li>\n<li>BX-Books<\/li>\n<li>BX-Users<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-code\"><code>You can find and download the free dataset in https:\/\/www.kaggle.com\/ruchi798\/bookcrossing-dataset\/notebooks. (make sure to upvote to support the user) <\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">We would like to answer these questions:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Do we become more forgiving with how we rate our books as we age? Or do we become harsh critics?<\/li>\n<li>How does the rating average change by publication year, is old better than new?\u00a0 Is the availability of books playing a bigger role in the rating averages?<\/li>\n<li>What book can you recommend to someone is his late 30\u2019s<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Data Prep<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">As a little disclaimer, the dataset is not in the best shape. There are some bad quality fields and duplicated records in the unique keys. <br>We also took the liberty to exclude some irrelevant and seemingly wrong inputs i.e. User Age = 300. Feel free to see all transformations in the .PBIX file attached at the end.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The resulting data model :<\/p><div id=\"seology-cta-1\">\t\t<div data-elementor-type=\"section\" data-elementor-id=\"7276\" class=\"elementor elementor-7276\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-7e3f164 e-con-full e-flex e-con e-parent\" data-id=\"7e3f164\" data-element_type=\"container\" data-e-type=\"container\" data-settings='{\"background_background\":\"classic\",\"jet_parallax_layout_list\":[]}'>\n\t\t<div class=\"elementor-element elementor-element-9078c9f e-con-full e-flex e-con e-child\" data-id=\"9078c9f\" data-element_type=\"container\" data-e-type=\"container\" data-settings='{\"jet_parallax_layout_list\":[]}'>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b99949 elementor-widget elementor-widget-heading\" data-id=\"7b99949\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">From vision to execution<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e61db5 elementor-widget elementor-widget-heading\" data-id=\"8e61db5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Whether you're just starting or scaling automation, we help turn your ideas into impactful solutions.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a578907 e-flex e-con-boxed e-con e-child\" data-id=\"a578907\" data-element_type=\"container\" data-e-type=\"container\" data-settings='{\"jet_parallax_layout_list\":[]}'>\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e8c827b elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"e8c827b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<a class=\"elementor-icon\" href=\"#ctc_chat\">\n\t\t\t<i aria-hidden=\"true\" class=\"fab fa-whatsapp\"><\/i>\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d834237 elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"d834237\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<a class=\"elementor-icon\" href=\"https:\/\/powergi.net\/de\/contact\/\">\n\t\t\t<i aria-hidden=\"true\" class=\"far fa-envelope\"><\/i>\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-357\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/Model.jpg\" alt=\"\" width=\"502\" height=\"282\">\n<figcaption>One to many relationship between BX-Users and BX-Book Ratings, using the [User-ID] field<br>One to many relationship between BX-Books and BX-Book Ratings, using the book\u2019s [ISBN]<\/figcaption>\n<\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">We\u2019ll build a dashboard that looks like this:<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" class=\"wp-image-358\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/dashb1.jpg\" alt=\"\" width=\"633\" height=\"358\"><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1.Books Distributions by Year of publication<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s explore the data by looking how the rated books in the dataset are distributed in each decade, for that purpose we created bins based on the field\u00a0 BX-Books[Year of Publication].<br><strong>Bins<\/strong>: right click the year of publication from the field pane and select new group, select group type = bin, bin type: size of bins and bin size = 10<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Column chart<\/strong><br><strong>Axis<\/strong>: Year of Publication(Bins)<br><strong>Values:<\/strong> Count of BX-Book ratings[ISBN] \u00a0<br>The visual is <strong>sorted by<\/strong> Year of Publication (BIN)<br><strong>Data colors<\/strong>: Conditional formatting based on the count of books to generate the different shades shown.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2.Readers Distribution by Age group<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">We do the same as with the previous chart but now with the readers rating the books, we created bins for the age(size of 10), in our case we added a custom age field to remove some inconsistencies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Column chart<\/strong><br><strong>Axis<\/strong>: Custom(bins)<br><strong>Values<\/strong>: Count of BX-Book-Ratings[User-ID]<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3.Rate averages by Age<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Column chart<\/strong><br><strong>Axis<\/strong>: Custom age(continuous)<br><strong>Values: <\/strong>Avg of BX-Book-Ratings[Book-Ratings]<br><strong>Analytics<\/strong>: Trend line: color black and dashed<br><strong>Color:<\/strong> Conditional formatting color based on count of [ISBN]<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4.Book Rating by publication year<\/strong><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Line Chart<\/strong><br><strong>Axis<\/strong>: Bx-Books[Year of Publication]<br><strong>Values<\/strong>: Avg of BX-Book-Ratings[Book-Ratings]<br><strong>Secondary values<\/strong>: Count of BX-Book-Ratings[ISBN]<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Interactions<\/strong>: All visuals are set to \u201cfilter\u201d and not \u201chighlight\u201d<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"has-inline-color has-luminous-vivid-orange-color\">1. Do we become more forgiving with how we rate our books as we age? Or do we become harsh critics?<\/span><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">We see a slightly upward trend in the rates as we age:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" class=\"wp-image-359\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/1.1.jpg\" alt=\"\" width=\"542\" height=\"267\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">It\u2019s interesting to note, that we do start by giving out better ratings and as we progress thru our 20\u2019s, rates average start to drop (use age distribution to filter):<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-360\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/1.2.png\" alt=\"\" width=\"535\" height=\"261\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Our 30\u2019s are more or less steady:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-361\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/1.3.jpg\" alt=\"\" width=\"561\" height=\"273\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">And start to climb back up as we move towards our 60\u2019s:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-362\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/1.4.jpg\" alt=\"\" width=\"562\" height=\"275\"><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"has-inline-color has-luminous-vivid-orange-color\">2. Is old better than new?<\/span><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Let\u2019s look at 2 decades, 80\u2019s &amp; 90\u2019s<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It seems that we are getting better rates in the late 90\u2019s but part of this increase may come from the difference in # books rated (2k early 80\u2019s vs 14k late 90\u2019s).<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-363\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/2.1.png\" alt=\"\" width=\"551\" height=\"228\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"has-inline-color has-luminous-vivid-orange-color\">3. What book can you recommend to someone is his late 30\u2019s?<\/span><\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">We created an additional dashboard to rank authors based on the book rating average, we can then filter them by readers\u2019 age &amp; book count higher than 4.<\/p><div id=\"seology-cta-2\">\t\t<div data-elementor-type=\"section\" data-elementor-id=\"7531\" class=\"elementor elementor-7531\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-7e3f164 e-con-full e-flex e-con e-parent\" data-id=\"7e3f164\" data-element_type=\"container\" data-e-type=\"container\" data-settings='{\"background_background\":\"classic\",\"jet_parallax_layout_list\":[]}'>\n\t\t<div class=\"elementor-element elementor-element-9078c9f e-con-full e-flex e-con e-child\" data-id=\"9078c9f\" data-element_type=\"container\" data-e-type=\"container\" data-settings='{\"jet_parallax_layout_list\":[]}'>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b99949 elementor-widget elementor-widget-heading\" data-id=\"7b99949\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Are you ready to discover the joy of automation?<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e61db5 elementor-widget elementor-widget-heading\" data-id=\"8e61db5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Whether you have a project in mind or just want to know how we can help, we\u2019re happy to have a conversation<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a578907 e-flex e-con-boxed e-con e-child\" data-id=\"a578907\" data-element_type=\"container\" data-e-type=\"container\" data-settings='{\"jet_parallax_layout_list\":[]}'>\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e8c827b elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"e8c827b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<a class=\"elementor-icon\" href=\"#ctc_chat\">\n\t\t\t<i aria-hidden=\"true\" class=\"fab fa-whatsapp\"><\/i>\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d834237 elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"d834237\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<a class=\"elementor-icon\" href=\"https:\/\/powergi.net\/de\/contact\/\">\n\t\t\t<i aria-hidden=\"true\" class=\"far fa-envelope\"><\/i>\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The Dashboard has a <strong>matrix<\/strong> with the authors, the rank measure and the count of books. <br>In the bottom part there is <strong>treemap<\/strong> to show titles by the author selected in the matrix and an additional custom visual called \u201c<strong>Image grid<\/strong>\u201d to display the book covers using the URL\u2019s from the dataset.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Lets select age group 36,37,38,39, and pick one of the top authors with 5 books or more.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-364\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/JamesClem.jpg\" alt=\"\" width=\"554\" height=\"315\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">James Clemens:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-365\" src=\"https:\/\/powergi.net\/wp-content\/uploads\/2026\/07\/james-1024x304-1.webp\" alt=\"\" width=\"553\" height=\"164\"><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Alright we can start by reading his Witch Series. We may not want to start with \u201cWitch Star\u201d as it is number 5 in the series, but we are exited to say it\u2019s his best rated!<\/p>\n\n\n\n<div class=\"wp-block-file\"><a href=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/BooksData.7z\">BooksData.pbix<\/a><a class=\"wp-block-file__button\" href=\"https:\/\/powergi.net\/wp-content\/uploads\/2020\/09\/BooksData.7z\" download=\"\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">\u00a0<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Histograms are a great way to explore data and to see how it&#8217;s distributed among different dimensions. \u00a0Today we will be looking at book ratings data to try to answer a couple of questions using Power BI visualizations. Book-Crossing Dataset The dataset contains 3 tables: BX-Book Ratings BX-Books BX-Users We would like to answer these [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":2618,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"glossary_letter":"","footnotes":""},"categories":[29],"tags":[18],"class_list":["post-2328","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-power-bi-cat","tag-power-bi"],"glossary_letter":null,"rank_math_title":null,"rank_math_description":"Learn about Histogram visualizations in Excel and Power BI on the Power GI blog. Discover technical guides to empower your business with Power Platform.","rank_math_focus_keyword":null,"_links":{"self":[{"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/posts\/2328","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/comments?post=2328"}],"version-history":[{"count":1,"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/posts\/2328\/revisions"}],"predecessor-version":[{"id":13675,"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/posts\/2328\/revisions\/13675"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/media\/2618"}],"wp:attachment":[{"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/media?parent=2328"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/categories?post=2328"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/powergi.net\/de\/wp-json\/wp\/v2\/tags?post=2328"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}