{"id":38648,"date":"2018-11-13T17:55:19","date_gmt":"2018-11-13T12:25:19","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=38648"},"modified":"2021-12-07T11:20:18","modified_gmt":"2021-12-07T05:50:18","slug":"skewness-in-qlikview-statistics","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/","title":{"rendered":"Skewness in Qlikview (Statistics) &#8211; Types of QlikView Skew"},"content":{"rendered":"<p>The last session was on\u00a0Best practice for<strong> Data Modeling in QlikView<\/strong>. Here, we will explore a new topic &#8211; QlikView\u00a0Statistics, in which we study Skewness in QlikView. Along with this, we will learn 3 main types of QlikView Skewness.<\/p>\n<p>By far, we have seen plenty of ways in which we could represent or display data as per our requirement using QlikView tools. But such tools will only represent the data, extracting insights from it is your job.<\/p>\n<p>As an aid to this, there are some statistical tests that you can do on your data in QlikView, that makes drawing insights and discovering patterns from the data very easy. Before we learn about the tests, we must go through some basic statistical concepts as the tests are based on it.<\/p>\n<p>So, let&#8217;s start a tutorial of &#8220;Skewness in QlikView&#8221;.<\/p>\n<h3 align=\"justify\">How to Understand Data Behaviour?<\/h3>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">All the data that we load into the data analysis tools like QlikView have hidden patterns and trends which when properly inferred and now reveals.<\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> This is done by understanding the data behaviour by two types of concepts: <\/span><\/span><\/p>\n<ul>\n<li><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Skewness <\/span><\/span><\/li>\n<li><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Kurtosis<\/span><\/span><\/li>\n<\/ul>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\"> Both skewness and kurtosis are distinct ways to read and understand data through the shapes of their distribution curves (bell curves).\u00a0<\/span><\/span><\/p>\n<p align=\"justify\"><strong><a href=\"https:\/\/data-flair.training\/blogs\/qlikview-delimited-file\/\">Do you know\u00a0QlikView Delimited File (CSV)?<\/a><\/strong><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">As you might know from your knowledge in statistics that a data set is statistically analyzed by observing the distribution of data and calculating the central tendencies like mean, mode and median. In an ideal situation, the mean of the data set falls exactly in the middle of the distribution curve and is the same as its mode and median. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Such distribution bell curve is called a normal distribution curve. But it is not every time that the conditions are so ideal. Most often than not, there occur variations in the shape of the normal curve causing asymmetry. This asymmetry cause by unusually high and low values of data. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Let us understand this asymmetry in data and how is it perceive in the following sections.<\/span><\/span><\/p>\n<h3 align=\"justify\">What is Skewness in QlikView?<\/h3>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Skewness is the distortion or asymmetry arising in the distribution curve pushing it to the left or right. The left or the right shift (i.e. skewing) occurs due to the change in data values such that the mean of the data set changes and its position on the graph shifts towards left or right.<\/span><\/span><\/p>\n<div id=\"attachment_38668\" style=\"width: 360px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew1.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-38668\" class=\"size-full wp-image-38668\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew1.jpg\" alt=\"What is Skewness in QlikView\" width=\"350\" height=\"176\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew1.jpg 350w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew1-150x75.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew1-300x151.jpg 300w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><\/a><p id=\"caption-attachment-38668\" class=\"wp-caption-text\">What is Skewness in QlikView<\/p><\/div>\n<h3 align=\"justify\">Types of Skewness in Qlikview<\/h3>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">When you want to draw some inference from a data set or compare data in different situations in QlikView, you do it by making some hypothesis. These hypotheses are the expected results that you think will come from the data analysis. For instance, if you own a car company and last year you launched an advertisement campaign with a famous sports celebrity. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Now, after a year using the sales data, you want to know that whether or not that celebrity advertising your car has brought some increase in sales. In other words, was that decision lucrative for the company? So, in this case, two hypotheses made are; yes, the celebrity advertisements increased the sales, and another is, it did not bring any change, also called Null hypothesis.<\/span><\/span><\/p>\n<p align=\"justify\"><strong><a href=\"https:\/\/data-flair.training\/blogs\/qlikview-operators\/\">Must Read &#8211; Types of Operators in QlikView<\/a><\/strong><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">But what all this has to do with skewness in Qlikview? You ask. Well, skewness in QlikView helps you conduct the statistical tests correctly by deciding what kind of change in the distribution of data (positive or negative) do you expect in the data. We will understand this by implementing this logic in the lessons where we learn about different statistical tests. <\/span><\/span><\/p>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">For now, let us take a look at the three kinds of skewness in QlikView.<\/span><\/span><\/p>\n<h4 align=\"justify\">a. Positive Distribution (Right-Skew)<\/h4>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">The right skew or positive distribution arises when the mean (average) is increased by some unusually high values making the bell curve shift to the right side and making the value positive. Here, the mean is greater than the median.<\/span><\/span><\/p>\n<p align=\"center\"><strong><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Mean &gt; Median<\/span><\/span><\/strong><\/p>\n<h4 align=\"justify\">b. Norma Distribution (Zero-Skew)<\/h4>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Normal distribution or zero skew has all the values normal having a symmetric bell curve falling symmetrically on the left and right of the axis. Zero skew distribution has the mean at the centermost point of the bell curve.<\/span><\/span><\/p>\n<p align=\"center\"><strong><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Mean = Median<\/span><\/span><\/strong><\/p>\n<h4 align=\"justify\">c. Negative Distribution (Left-Skew)<\/h4>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">The negative distribution or left skew arises when the mean of data decrease by some unusually low data values shifting the curve to the left. <\/span><\/span><\/p>\n<p align=\"center\"><strong><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">Mean &lt; Median<\/span><\/span><\/strong><\/p>\n<div id=\"attachment_38669\" style=\"width: 613px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew2.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-38669\" class=\"size-full wp-image-38669\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew2.jpg\" alt=\"Skewness in QlikView\" width=\"603\" height=\"231\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew2.jpg 603w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew2-150x57.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew2-300x115.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/skew2-520x199.jpg 520w\" sizes=\"auto, (max-width: 603px) 100vw, 603px\" \/><\/a><p id=\"caption-attachment-38669\" class=\"wp-caption-text\">Skewness in QlikView &#8211;\u00a0Negative Distribution<\/p><\/div>\n<p align=\"justify\">So, this was all about\u00a0<span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">skewness in QlikView. Hope you like our explanation.<\/span><\/span><\/p>\n<h3 align=\"justify\">Conclusion<\/h3>\n<p align=\"justify\"><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">This is all you need to know about the concept of skewness in QlikView. We will learn how to apply this concept while doing statistical tests in QlikView. Furthermore,<\/span><\/span><span style=\"font-family: Arial, serif\"><span style=\"font-size: medium\">\u00a0if you have any queries, do leave them in the comment section below.<\/span><\/span><\/p>\n<p align=\"justify\">Related Topic &#8211;<strong><a href=\"https:\/\/data-flair.training\/blogs\/qlikview-set-analysis\/\">\u00a0How to Define Concatenate in QlikView<\/a><\/strong><\/p>\n<p align=\"justify\"><strong><a href=\"https:\/\/en.wikipedia.org\/wiki\/Skewness\">Reference<\/a><\/strong><\/p>\n<p><span hidden class=\"__iawmlf-post-loop-links\" data-iawmlf-links=\"[{&quot;id&quot;:1733,&quot;href&quot;:&quot;https:\\\/\\\/en.wikipedia.org\\\/wiki\\\/Skewness&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251209213505\\\/https:\\\/\\\/en.wikipedia.org\\\/wiki\\\/Skewness&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-16 04:59:02&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2025-12-21 04:42:49&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2025-12-28 04:14:45&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-01-14 16:52:44&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-02-02 09:22:10&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-02-20 05:12:02&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-24 07:09:05&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-04 16:43:59&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-13 19:35:12&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-06-18 18:02:06&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-29 11:10:00&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-07-03 19:49:24&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-07-07 04:15:37&quot;,&quot;http_code&quot;:200}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-07-07 04:15:37&quot;,&quot;http_code&quot;:200},&quot;process&quot;:&quot;done&quot;}]\"><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The last session was on\u00a0Best practice for Data Modeling in QlikView. Here, we will explore a new topic &#8211; QlikView\u00a0Statistics, in which we study Skewness in QlikView. Along with this, we will learn 3&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":38666,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47],"tags":[17305,17304,17306,17303,17307,17309,17308],"class_list":["post-38648","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-qlikview","tag-qlikview-skew","tag-qlikview-skewness","tag-qlikview-statistics","tag-skewness-in-qlikview","tag-types-of-qlikview-skewness","tag-what-is-qlikview-skewness","tag-what-is-skewness"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Skewness in Qlikview (Statistics) - Types of QlikView Skew - DataFlair<\/title>\n<meta name=\"description\" content=\"QlikView Statistics - What is Skewness in QlikView, Types of QlikView Skew, Negative, Norma, Positive Distribution, Left, Right, Zero Skew in QlikView\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Skewness in Qlikview (Statistics) - Types of QlikView Skew - DataFlair\" \/>\n<meta property=\"og:description\" content=\"QlikView Statistics - What is Skewness in QlikView, Types of QlikView Skew, Negative, Norma, Positive Distribution, Left, Right, Zero Skew in QlikView\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2018-11-13T12:25:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-12-07T05:50:18+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/QlikView-Statistics-Skewness-01.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Skewness in Qlikview (Statistics) - Types of QlikView Skew - DataFlair","description":"QlikView Statistics - What is Skewness in QlikView, Types of QlikView Skew, Negative, Norma, Positive Distribution, Left, Right, Zero Skew in QlikView","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:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/","og_locale":"en_US","og_type":"article","og_title":"Skewness in Qlikview (Statistics) - Types of QlikView Skew - DataFlair","og_description":"QlikView Statistics - What is Skewness in QlikView, Types of QlikView Skew, Negative, Norma, Positive Distribution, Left, Right, Zero Skew in QlikView","og_url":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2018-11-13T12:25:19+00:00","article_modified_time":"2021-12-07T05:50:18+00:00","og_image":[{"width":1200,"height":628,"url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/QlikView-Statistics-Skewness-01.jpg","type":"image\/jpeg"}],"author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/2c58ecb4f73a39f0ef993f1ddfcd7b89"},"headline":"Skewness in Qlikview (Statistics) &#8211; Types of QlikView Skew","datePublished":"2018-11-13T12:25:19+00:00","dateModified":"2021-12-07T05:50:18+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/"},"wordCount":839,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/#primaryimage"},"thumbnailUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/QlikView-Statistics-Skewness-01.jpg","keywords":["QlikView Skew","QlikView Skewness","QlikView Statistics","Skewness in Qlikview","Types of QlikView Skewness","What is QlikView Skewness","What is Skewness"],"articleSection":["QlikView Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/","url":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/","name":"Skewness in Qlikview (Statistics) - Types of QlikView Skew - DataFlair","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/#website"},"primaryImageOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/#primaryimage"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/#primaryimage"},"thumbnailUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/QlikView-Statistics-Skewness-01.jpg","datePublished":"2018-11-13T12:25:19+00:00","dateModified":"2021-12-07T05:50:18+00:00","description":"QlikView Statistics - What is Skewness in QlikView, Types of QlikView Skew, Negative, Norma, Positive Distribution, Left, Right, Zero Skew in QlikView","breadcrumb":{"@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/#primaryimage","url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/QlikView-Statistics-Skewness-01.jpg","contentUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/10\/QlikView-Statistics-Skewness-01.jpg","width":1200,"height":628,"caption":"Skewness in Qlikview (Statistics) - Types of QlikView Skew"},{"@type":"BreadcrumbList","@id":"https:\/\/data-flair.training\/blogs\/skewness-in-qlikview-statistics\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog Home","item":"https:\/\/data-flair.training\/blogs\/"},{"@type":"ListItem","position":2,"name":"QlikView Tutorials","item":"https:\/\/data-flair.training\/blogs\/category\/qlikview\/"},{"@type":"ListItem","position":3,"name":"Skewness in Qlikview (Statistics) &#8211; Types of QlikView Skew"}]},{"@type":"WebSite","@id":"https:\/\/data-flair.training\/blogs\/#website","url":"https:\/\/data-flair.training\/blogs\/","name":"DataFlair","description":"Learn Today. Lead Tomorrow.","publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/data-flair.training\/blogs\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/data-flair.training\/blogs\/#organization","name":"DataFlair","url":"https:\/\/data-flair.training\/blogs\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/","url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","contentUrl":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2016\/07\/Data-Flair.png","width":106,"height":48,"caption":"DataFlair"},"image":{"@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataFlairWS\/","https:\/\/x.com\/DataFlairWS","https:\/\/www.linkedin.com\/company\/dataflair-web-services-pvt-ltd\/","https:\/\/www.youtube.com\/user\/DataFlairWS"]},{"@type":"Person","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/2c58ecb4f73a39f0ef993f1ddfcd7b89","name":"DataFlair Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/1ce4a0e3e542444fc73bbebf83e89e8b73e2d95ccb1fcee64da9945f078b97c5?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/1ce4a0e3e542444fc73bbebf83e89e8b73e2d95ccb1fcee64da9945f078b97c5?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/1ce4a0e3e542444fc73bbebf83e89e8b73e2d95ccb1fcee64da9945f078b97c5?s=96&d=mm&r=g","caption":"DataFlair Team"},"description":"The DataFlair Team provides industry-driven content on programming, Java, Python, C++, DSA, AI, ML, data Science, Android, Flutter, MERN, Web Development, and technology. Our expert educators focus on delivering value-packed, easy-to-follow resources for tech enthusiasts and professionals.","url":"https:\/\/data-flair.training\/blogs\/author\/dfteam2\/"}]}},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/38648","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/comments?post=38648"}],"version-history":[{"count":7,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/38648\/revisions"}],"predecessor-version":[{"id":104955,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/posts\/38648\/revisions\/104955"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/media\/38666"}],"wp:attachment":[{"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/media?parent=38648"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/categories?post=38648"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/data-flair.training\/blogs\/wp-json\/wp\/v2\/tags?post=38648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}