{"id":12959,"date":"2018-04-10T07:21:13","date_gmt":"2018-04-10T07:21:13","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=12959"},"modified":"2025-03-01T17:59:33","modified_gmt":"2025-03-01T12:29:33","slug":"tableau-predictive-analysis","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/tableau-predictive-analysis\/","title":{"rendered":"Tableau Predictive Analysis- Linear Regression with R"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' 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12:03:56&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-19 04:23:42&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-23 16:54:24&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-26 22:04:25&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-02 01:20:40&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-05 13:40:53&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-09 05:58:20&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-12 23:07:12&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-16 04:57:38&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-21 15:35:27&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-25 02:31:45&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-28 16:14:46&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-31 23:37:07&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-04 11:59:11&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-09 10:28:36&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-12 12:06:26&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-15 12:21:22&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-18 19:25:42&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-04-22 03:45:55&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-25 05:15:07&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-28 17:21:17&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-01 21:40:38&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-05 09:10:20&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-09 09:20:15&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-12 11:41:49&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-16 00:06:36&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-19 18:38:54&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-23 05:41:32&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-26 10:33:44&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-29 14:55:31&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-02 20:23:53&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-06-06 01:05:29&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-09 18:51:16&quot;,&quot;http_code&quot;:206}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-09 18:51:16&quot;,&quot;http_code&quot;:206},&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<p>In our last Tableau Tutorial, we study <a href=\"https:\/\/data-flair.training\/blogs\/tableau-density-map\/\"><strong>Tableau Density Map Using Hexbins<\/strong><\/a>. In this Tableau Predictive Analysis<strong>\u00a0<\/strong>tutorial, we are going to study about the what is line regression and line regression with<strong><a href=\"https:\/\/data-flair.training\/blogs\/r-programming-tutorial\/\"> R Programming Language<\/a><\/strong> in Tableau. Moreover, we will also study the Prerequisites required to get started with Predictive Analysis<strong>\u00a0<\/strong>in Tableau.<\/p>\n<p>So, let us start Tableau Predictive Analysis<strong>\u00a0<\/strong>&#8211; Linear Regression with R Programming.<\/p>\n<h3>Linear Regression With R<\/h3>\n<p>Linear regression is a common technique to find the best fit straight line in a <a href=\"https:\/\/data-flair.training\/blogs\/tableau-scatter-plot\/\"><strong>scatter plot<\/strong><\/a>. The resulting line can help in Tableau predictive analysis.<\/p>\n<div id=\"attachment_12976\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Linear-Regression-in-R-01-1.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-12976\" class=\"wp-image-12976 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Linear-Regression-in-R-01-1.jpg\" alt=\"Tableau Predictive Analysis\" width=\"1200\" height=\"628\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Linear-Regression-in-R-01-1.jpg 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Linear-Regression-in-R-01-1-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Linear-Regression-in-R-01-1-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Linear-Regression-in-R-01-1-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Linear-Regression-in-R-01-1-1024x536.jpg 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-12976\" class=\"wp-caption-text\">What is Linear Regression with R Programming<\/p><\/div>\n<p>Linear Regression, according to Wikipedia, is defined as follows:<\/p>\n<p><em>&#8220;\u2026 an approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) denoted x. The case of one explanatory variable is called simple linear regression.&#8221;<\/em><\/p>\n<p>The R scripting language is widely popular with statisticians, data miners, and data scientists. There are numerous libraries that can be used within R that support various statistical analyses, such as linear regression and clustering. There are even libraries for high performance computing (Pandas) and interactive web visualizations (Shiny).<\/p>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/r-linear-regression-tutorial\/\">Read about R Linear Regression in detail<\/a><\/strong><\/p>\n<h3>Prerequisites For Tableau Predictive Analysis<\/h3>\n<p>These are some prerequisites that should be followed before Tableau Predictive analysis &#8211; Linear regression with <a href=\"https:\/\/data-flair.training\/blogs\/why-you-should-learn-r-programming\/\"><strong>R Programming Language<\/strong><\/a>.<\/p>\n<p>i.<a href=\"https:\/\/data-flair.training\/blogs\/how-to-install-r\/\"> <strong>Install R<\/strong><\/a>. The R Project for Statistical Computing website is <a href=\"https:\/\/www.r-project.org\/\"><strong>https:\/\/www.r<\/strong><\/a><a href=\"https:\/\/www.r-project.org\/\"><strong>org\/<\/strong><\/a><a href=\"https:\/\/www.r-project.org\/\">.<\/a><\/p>\n<p>ii. Optionally, install RStudio from <a href=\"https:\/\/www.rstudio.com\/\"><strong>https:\/\/www.rstudio.com\/<\/strong><\/a><a href=\"https:\/\/www.rstudio.com\/\">,<\/a> which is an integrated environment for R.<\/p>\n<p>iii. Install the R serve package by running the following in R: <strong>packages(&#8220;Rserve&#8221;); <\/strong><strong>library(Rserve); run.Rserve();<\/strong><\/p>\n<p>iv. You will get a message that says the connection is blocked:<\/p>\n<div id=\"attachment_12967\" style=\"width: 562px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-428.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-12967\" class=\"wp-image-12967 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-428.png\" alt=\"Tableau Predictive Analysis- Linear Regression with R\" width=\"552\" height=\"198\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-428.png 552w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-428-150x54.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-428-300x108.png 300w\" sizes=\"auto, (max-width: 552px) 100vw, 552px\" \/><\/a><p id=\"caption-attachment-12967\" class=\"wp-caption-text\">Prerequisites 4 &#8211; Tableau Predictive Analysis<\/p><\/div>\n<p>v. Go to Help, and under Settings and Performance, select Manage External Service Connection&#8230;:<\/p>\n<div id=\"attachment_12968\" style=\"width: 523px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-429.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-12968\" class=\"wp-image-12968 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-429.png\" alt=\"Prerequisites 5 - Tableau Predictive Analysis\" width=\"513\" height=\"360\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-429.png 513w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-429-150x105.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-429-300x211.png 300w\" sizes=\"auto, (max-width: 513px) 100vw, 513px\" \/><\/a><p id=\"caption-attachment-12968\" class=\"wp-caption-text\">Prerequisites 5 &#8211; Tableau Predictive Analysis<\/p><\/div>\n<p>vi. Type <strong>localhost<\/strong> for the Server:, and leave the Port\/API Key: to 6311. Test the connection, and ensure you get a successful connection message before proceeding:<\/p>\n<div id=\"attachment_12971\" style=\"width: 587px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-430.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-12971\" class=\"wp-image-12971 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-430.png\" alt=\"Tableau Predictive Analysis\" width=\"577\" height=\"405\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-430.png 577w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-430-150x105.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-430-300x211.png 300w\" sizes=\"auto, (max-width: 577px) 100vw, 577px\" \/><\/a><p id=\"caption-attachment-12971\" class=\"wp-caption-text\">Prerequisites 6 &#8211; Tableau Predictive Analysis<\/p><\/div>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/tableau-reporting\/\">Let&#8217;s Discuss Tableau Reporting \u2013 Tableau Data Analysis Report<\/a> <\/strong><\/p>\n<p>Once R is ready and connected, you may proceed with the recipe.<br \/>\nTo follow this recipe, open <strong><em>B05527_06 \u2013 STARTER.twbx<\/em><\/strong>. Use the worksheet called Integrating R, and connect to the CO2 (Worldwbank) data source:<\/p>\n<div id=\"attachment_12972\" style=\"width: 301px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-427.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-12972\" class=\"wp-image-12972 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-427.png\" alt=\"Tableau Predictive Analysis\" width=\"291\" height=\"77\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-427.png 291w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-427-150x40.png 150w\" sizes=\"auto, (max-width: 291px) 100vw, 291px\" \/><\/a><p id=\"caption-attachment-12972\" class=\"wp-caption-text\">Tableau Predictive Analysis<\/p><\/div>\n<h3>How to Create R-Generated Trend Lines?<\/h3>\n<p>i. From Dimensions, drag Country Name to the Filters shelf.<\/p>\n<p>ii. In the Filters window, choose Canada, China, and United States.<\/p>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/tableau-trend-line\/\">Do you Know How to\u00a0Create Trend Line in Tableau<\/a><\/strong><\/p>\n<p>iii. From Dimensions, drag Country Name to Columns.<\/p>\n<p>iv. From Dimensions, drag Year to Columns.<\/p>\n<p>v. Right-click on the Year pill in Columns and choose Continuous.<\/p>\n<p>vi. From Measures, drag CO2 Emission to Rows.<\/p>\n<p>vii. Click on the null indicator that appears on the bottom right of the view and select Filter data:<\/p>\n<div id=\"attachment_12973\" style=\"width: 378px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-431.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-12973\" class=\"wp-image-12973 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-431.png\" alt=\"Tableau Predictive Analysis\" width=\"368\" height=\"248\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-431.png 368w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-431-150x101.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-431-300x202.png 300w\" sizes=\"auto, (max-width: 368px) 100vw, 368px\" \/><\/a><p id=\"caption-attachment-12973\" class=\"wp-caption-text\">Step &#8211; 7 Creating R-Generated Trend Lines<\/p><\/div>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/tableau-story-line\/\">Let&#8217;s Explore\u00a0How to Create a Story in Tableau<\/a><\/strong><\/p>\n<p>viii. Create a new calculated field called Trend Line with the following R formula:<\/p>\n<div id=\"attachment_12974\" style=\"width: 544px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-432.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-12974\" class=\"wp-image-12974 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-432.png\" alt=\"Tableau Predictive Analysis\" width=\"534\" height=\"257\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-432.png 534w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-432-150x72.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Screenshot-432-300x144.png 300w\" sizes=\"auto, (max-width: 534px) 100vw, 534px\" \/><\/a><p id=\"caption-attachment-12974\" class=\"wp-caption-text\">Step &#8211; 8 Creating R-Generated Trend Lines<\/p><\/div>\n<p>ix. Drag the new calculated field Trend Line from Measures to Rows, to the right of CO2 Emission.<\/p>\n<p>x. Right-click on the Trend Line pill and set Compute Using to Pane across.<\/p>\n<p>xi. Right-click on the Trend Line pill and select Dual Axis<\/p>\n<p>xii. Right-click on the Trend Line axis and select Synchronize Axis.<\/p>\n<p>xiii. Right-click on the Trend Line axis and unchecked Show Header.<\/p>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/tableau-export-to-powerpoint\/\">Let&#8217;s revise How Data in Tableau Export to PowerPoint and Word<\/a> <\/strong><\/p>\n<h3>Conclusion<\/h3>\n<p>In this tutorial, we studied about the Tableau Predictive Analysis &#8211; line regression with R, a few basics about it and creating a view. Hope you enjoyed the session. Share your feedback in the comment section.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In our last Tableau Tutorial, we study Tableau Density Map Using Hexbins. In this Tableau Predictive Analysis\u00a0tutorial, we are going to study about the what is line regression and line regression with R Programming&#46;&#46;&#46;<\/p>\n","protected":false},"author":5,"featured_media":12977,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[71],"tags":[8291,8297,9912,14338,14339,14378],"class_list":["post-12959","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tableau","tag-linear-regression-in-tableau","tag-linear-regression-with-r","tag-predictive-analysis-in-tableau","tag-tableau-linear-regression","tag-tableau-linear-regression-with-r","tag-tableau-predictive-analysis"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Tableau Predictive Analysis- Linear Regression with R - DataFlair<\/title>\n<meta name=\"description\" content=\"Tableau Predictive Analysis- Linear Regression with R, prerequisites for Predictive analysis, Creating R-Generated Trend Lines etc.\" \/>\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\/tableau-predictive-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tableau Predictive Analysis- Linear Regression with R - 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