{"id":5195,"date":"2024-03-18T13:39:55","date_gmt":"2024-03-18T13:39:55","guid":{"rendered":"https:\/\/www.calligo.io\/?p=5195"},"modified":"2024-03-18T13:39:56","modified_gmt":"2024-03-18T13:39:56","slug":"component-replacement-repair-predictiveness","status":"publish","type":"post","link":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/","title":{"rendered":"Component Replacement &#038; Repair Predictiveness"},"content":{"rendered":"<style>.block-content-two-column{padding:3em 0}@media (min-width: 992px){.block-content-two-column{padding:6em 0}}.block-content-two-column .heading{font-size:1.5rem;line-height:2rem;letter-spacing:0.02em;font-weight:400}@media (min-width: 992px){.block-content-two-column .heading{font-size:2.5rem;line-height:3rem}}.block-content-two-column .heading-col>*{max-width:39.75rem}.block-content-two-column .content-col{color:#1e1e1e}@media (min-width: 992px){.block-content-two-column .content-col{display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-pack:end;-ms-flex-pack:end;justify-content:flex-end}}.block-content-two-column .content-col>*{max-width:32.875rem}.block-content-two-column .content-col p{letter-spacing:0.05em;margin-bottom:2rem;line-height:1.75rem}.block-content-two-column .content-col p:not(.p--large) .block-content-two-column .content-col p:not(.p--medium) .block-content-two-column .content-col p:not(.p--small) .block-content-two-column .content-col p:not(.p--x-small){font-size:16px}@media only screen and (min-width: 375px){.block-content-two-column .content-col p:not(.p--large) .block-content-two-column .content-col p:not(.p--medium) .block-content-two-column .content-col p:not(.p--small) .block-content-two-column .content-col p:not(.p--x-small){font-size:calc( 16px + 4 * (100vw - 375px) \/ (1346 - 375))}}@media only screen and (min-width: 1346px){.block-content-two-column .content-col p:not(.p--large) .block-content-two-column .content-col p:not(.p--medium) .block-content-two-column .content-col p:not(.p--small) .block-content-two-column .content-col p:not(.p--x-small){font-size:20px}}.block-content-two-column .content-col p:last-child{margin-bottom:0}.block-content-two-column.bg--primary .overline,.block-content-two-column.bg--primary .heading,.block-content-two-column.bg--primary .content-col{color:#fff}\n\n\/*# sourceMappingURL=block-content-two-column.css.map *\/\n<\/style><section id=\"\" class=\"block-content-two-column      \">\n\t<div class=\"container\">\n\t\t<div class=\"row\">\n                            <div class=\"col-12\">\n                    <p class=\"overline\">\n                        Component Replacement Optimization in the Manufacturing Sector                    <\/p>\n                <\/div>\n                        <div class=\"heading-col col-12 col-lg-6\">\n                <div data-aos=\"fade-up\">\n\t\t\t        <h2 class=\"heading\">Keeping the repair process fast and efficient using Machine Learning and Advanced Analytics<\/h2>                <\/div>\n            <\/div>\n\t\t\t                <div class=\"content-col col-12 col-lg-6\">\n                    <div data-aos=\"fade-up\">\n                        <p>Using constantly updated supplier data and historical data from their own repairs, we used a predictive data science model to help this manufacturer identify circuit board components that are most likely to have been incorrectly installed based on the fault presented.<\/p>\n                    \n                    <\/div>\n                <\/div>\n\t\t\t        <\/div>\n\t<\/div>\n<\/section>\n\n\n<style>.block-content-centred{padding:3em 0}@media (min-width: 992px){.block-content-centred{padding:6em 0}}.block-content-centred .row{-webkit-box-pack:center;-ms-flex-pack:center;justify-content:center}.block-content-centred .row>*{max-width:68.625rem}.block-content-centred .overline{color:#000}.block-content-centred .content-col p{font-size:1.5rem;line-height:2rem;letter-spacing:0.05em;font-weight:400;margin-bottom:2rem}@media (min-width: 992px){.block-content-centred .content-col p{font-size:2rem;line-height:3rem}}.block-content-centred .content-col p:last-child{margin-bottom:0}.block-content-centred .content-col strong{font-weight:600}.block-content-centred .button-col{display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-orient:horizontal;-webkit-box-direction:normal;-ms-flex-direction:row;flex-direction:row;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-box-pack:center;-ms-flex-pack:center;justify-content:center}.block-content-centred .button-col .btn{margin-top:2rem}.block-content-centred.font-size-large .content-col p{font-size:1.75rem;line-height:2rem;letter-spacing:0.05em;font-weight:400;margin-bottom:2rem;font-weight:300}@media (min-width: 992px){.block-content-centred.font-size-large .content-col p{font-size:3.5rem;line-height:4rem}}.block-content-centred.font-size-large .content-col p:last-child{margin-bottom:0}.block-content-centred.font-size-large .content-col strong{font-weight:600}.block-content-centred.text-align-center .content-col p{text-align:center}.block-content-centred.bg--primary .overline,.block-content-centred.bg--primary .content-col{color:#fff}\n\n\/*# sourceMappingURL=block-content-centred.css.map *\/\n<\/style><section id=\"\" class=\"block-content-centred       font-size-medium text-align-left \">\n\t<div class=\"container\">\n\t\t<div class=\"row\">\n            \t\t\t                <div class=\"content-col col-12 col-lg-10\" data-aos=\"fade-up\">\n                    <p><iframe loading=\"lazy\" style=\"border: 1px solid #bbb;\" src=\"https:\/\/app.powerbi.com\/view?r=eyJrIjoiYzZiZDNlZjUtMzNlZS00ZDcxLWE3YzAtOGM2MjVjMTVlNzBiIiwidCI6ImE5ZmRhZDY3LTM2MzYtNGUyYS05OTE4LTUzZWRjMzVmYjQ3NCJ9\" width=\"1392\" height=\"1176\" frameborder=\"\" scrolling=\"no\" align=\"middle\"><br \/>\n<\/iframe><\/p>\n                <\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"col-12 button-col\" data-aos=\"fade-up\">\n\t\t\t\t\t\t\t<\/div>\n\t\t\t        <\/div>\n\t<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":34,"featured_media":5196,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[43],"tags":[],"post_format_type":[41],"class_list":["post-5195","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-visualization-portfolio"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Component Replacement &amp; Repair Predictiveness | Calligo<\/title>\n<meta name=\"description\" content=\"Enhance manufacturing efficiency with predictive component replacement. Custom data sources &amp; machine learning ensure precise repairs.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Component Replacement &amp; Repair Predictiveness | Calligo\" \/>\n<meta property=\"og:description\" content=\"Enhance manufacturing efficiency with predictive component replacement. Custom data sources &amp; machine learning ensure precise repairs.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/\" \/>\n<meta property=\"og:site_name\" content=\"Calligo\" \/>\n<meta property=\"article:published_time\" content=\"2024-03-18T13:39:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-18T13:39:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1007\" \/>\n\t<meta property=\"og:image:height\" content=\"566\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Cynthia Hoza\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@calligocloud\" \/>\n<meta name=\"twitter:site\" content=\"@calligocloud\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Cynthia Hoza\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/\"},\"author\":{\"name\":\"Cynthia Hoza\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/person\/3a89e8c6dff018d5a89199959070b25f\"},\"headline\":\"Component Replacement &#038; Repair Predictiveness\",\"datePublished\":\"2024-03-18T13:39:55+00:00\",\"dateModified\":\"2024-03-18T13:39:56+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/\"},\"wordCount\":4,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.calligo.io\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png\",\"articleSection\":[\"Visualization Portfolio\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/\",\"url\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/\",\"name\":\"Component Replacement & Repair Predictiveness | Calligo\",\"isPartOf\":{\"@id\":\"https:\/\/www.calligo.io\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png\",\"datePublished\":\"2024-03-18T13:39:55+00:00\",\"dateModified\":\"2024-03-18T13:39:56+00:00\",\"description\":\"Enhance manufacturing efficiency with predictive component replacement. Custom data sources & machine learning ensure precise repairs.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#primaryimage\",\"url\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png\",\"contentUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png\",\"width\":1007,\"height\":566,\"caption\":\"machine learning component failure analysis\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.calligo.io\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Component Replacement &#038; Repair Predictiveness\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.calligo.io\/#website\",\"url\":\"https:\/\/www.calligo.io\/\",\"name\":\"Calligo\",\"description\":\"Building value through data\",\"publisher\":{\"@id\":\"https:\/\/www.calligo.io\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.calligo.io\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.calligo.io\/#organization\",\"name\":\"Calligo\",\"url\":\"https:\/\/www.calligo.io\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg\",\"contentUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg\",\"width\":1200,\"height\":630,\"caption\":\"Calligo\"},\"image\":{\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/calligocloud\",\"https:\/\/www.linkedin.com\/company\/calligo-limited\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/person\/3a89e8c6dff018d5a89199959070b25f\",\"name\":\"Cynthia Hoza\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/905b41cc3a17c6a46ed078778724625e6b131732c17ff59874c3214b06b985a1?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/905b41cc3a17c6a46ed078778724625e6b131732c17ff59874c3214b06b985a1?s=96&d=mm&r=g\",\"caption\":\"Cynthia Hoza\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Component Replacement & Repair Predictiveness | Calligo","description":"Enhance manufacturing efficiency with predictive component replacement. Custom data sources & machine learning ensure precise repairs.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/","og_locale":"en_GB","og_type":"article","og_title":"Component Replacement & Repair Predictiveness | Calligo","og_description":"Enhance manufacturing efficiency with predictive component replacement. Custom data sources & machine learning ensure precise repairs.","og_url":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/","og_site_name":"Calligo","article_published_time":"2024-03-18T13:39:55+00:00","article_modified_time":"2024-03-18T13:39:56+00:00","og_image":[{"width":1007,"height":566,"url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png","type":"image\/png"}],"author":"Cynthia Hoza","twitter_card":"summary_large_image","twitter_creator":"@calligocloud","twitter_site":"@calligocloud","twitter_misc":{"Written by":"Cynthia Hoza"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#article","isPartOf":{"@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/"},"author":{"name":"Cynthia Hoza","@id":"https:\/\/www.calligo.io\/#\/schema\/person\/3a89e8c6dff018d5a89199959070b25f"},"headline":"Component Replacement &#038; Repair Predictiveness","datePublished":"2024-03-18T13:39:55+00:00","dateModified":"2024-03-18T13:39:56+00:00","mainEntityOfPage":{"@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/"},"wordCount":4,"commentCount":0,"publisher":{"@id":"https:\/\/www.calligo.io\/#organization"},"image":{"@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#primaryimage"},"thumbnailUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png","articleSection":["Visualization Portfolio"],"inLanguage":"en-GB","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/","url":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/","name":"Component Replacement & Repair Predictiveness | Calligo","isPartOf":{"@id":"https:\/\/www.calligo.io\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#primaryimage"},"image":{"@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#primaryimage"},"thumbnailUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png","datePublished":"2024-03-18T13:39:55+00:00","dateModified":"2024-03-18T13:39:56+00:00","description":"Enhance manufacturing efficiency with predictive component replacement. Custom data sources & machine learning ensure precise repairs.","breadcrumb":{"@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/"]}]},{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#primaryimage","url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png","contentUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2024\/03\/machine-learning-component-degradation-.png","width":1007,"height":566,"caption":"machine learning component failure analysis"},{"@type":"BreadcrumbList","@id":"https:\/\/www.calligo.io\/insights\/data-visualization-portfolio\/component-replacement-repair-predictiveness\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.calligo.io\/"},{"@type":"ListItem","position":2,"name":"Component Replacement &#038; Repair Predictiveness"}]},{"@type":"WebSite","@id":"https:\/\/www.calligo.io\/#website","url":"https:\/\/www.calligo.io\/","name":"Calligo","description":"Building value through data","publisher":{"@id":"https:\/\/www.calligo.io\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.calligo.io\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/www.calligo.io\/#organization","name":"Calligo","url":"https:\/\/www.calligo.io\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/","url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg","contentUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg","width":1200,"height":630,"caption":"Calligo"},"image":{"@id":"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/calligocloud","https:\/\/www.linkedin.com\/company\/calligo-limited\/"]},{"@type":"Person","@id":"https:\/\/www.calligo.io\/#\/schema\/person\/3a89e8c6dff018d5a89199959070b25f","name":"Cynthia Hoza","image":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.calligo.io\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/905b41cc3a17c6a46ed078778724625e6b131732c17ff59874c3214b06b985a1?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/905b41cc3a17c6a46ed078778724625e6b131732c17ff59874c3214b06b985a1?s=96&d=mm&r=g","caption":"Cynthia Hoza"}}]}},"_links":{"self":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/posts\/5195","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/users\/34"}],"replies":[{"embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/comments?post=5195"}],"version-history":[{"count":0,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/posts\/5195\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/media\/5196"}],"wp:attachment":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/media?parent=5195"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/categories?post=5195"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/tags?post=5195"},{"taxonomy":"post_format_type","embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/post_format_type?post=5195"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}