{"id":247087,"date":"2022-05-14T14:11:26","date_gmt":"2022-05-14T14:11:26","guid":{"rendered":"https:\/\/imarticus.org\/?p=247087"},"modified":"2023-12-05T07:28:24","modified_gmt":"2023-12-05T07:28:24","slug":"visualizing-spotify-data-with-a-tableau-course","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/visualizing-spotify-data-with-a-tableau-course\/","title":{"rendered":"Visualizing Spotify data with a tableau course"},"content":{"rendered":"<h1><strong>Visualizing Spotify data with a tableau course<\/strong><\/h1>\n<p><i><span style=\"font-weight: 400;\">Data science has emerged as a very demanding trend in the industry. Domain skills bring valuable insights from structured and unstructured data using standard tools and techniques.\u00a0 One of the aspects of data science is data visualization, which is called the graphical representation of the main information obtained from the processed data.<\/span><\/i><\/p>\n<h2><b>Tableau\u00a0<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Tableau is one of the standard tools in business intelligence, analytics, and <strong><a href=\"https:\/\/imarticus.org\/blog\/advantages-of-data-visualization-with-tableau-certification\/\">data visualization<\/a><\/strong>.\u00a0 Tableau (desktop and, more recently, public) versions have changed how we interact with visualization and developed data stories for visual communication aids for our large stakeholders, including non-technical audiences globally. <\/span><span style=\"font-weight: 400;\">With Tableau, you can visualize Spotify streamed data of your favorite artists, tracks, brands, and more.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can create dynamic dashboards for visualizing data by using the streaming data and API requested from Spotify and integrating it into the Tableau tool.\u00a0<\/span><\/p>\n<h2><b>Tableau to Visualize Spotify Music<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Once you connect to the Spotify page, you can download music data from the top charts. Top 200 options get a top track or trending track. Use the pull-down menu to filter by country or select Global Options. Similarly, choose from daily or weekly data for your analysis. Use the &#8220;Download to CSV&#8221; option at the top right of the screen. Daily data is downloaded in the default Spotify_Daily_Streaming file.<\/span><\/p>\n<h2><b>Analyze<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Now in the Tableau application, load the data source. To open the latest Spotify CSV file on the canvas, select the &#8220;Text File&#8221; option in the Connect pane. Use the Tableau options to analyze the uploaded data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The following sections are summarized to analyze the given clause.<\/span><\/p>\n<h2><b>Popular Tracks and Artists<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Follow the steps to get the most famous songs.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Create a new sheet.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Add the SUM to rows.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Track URL to columns.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Sort the songs in the order of greatest to lowest.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enter a name for the track. It is provided next to the Track URL on columns.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Using the pill in the columns hide the Track URL title.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Mark the Show Header option unchecked.<\/span><\/li>\n<\/ul>\n<h2><span style=\"font-weight: 400;\">\u00a0\u00a0<\/span><b>Popularity by country<\/b><\/h2>\n<p><strong>This option is used to analyze how listening habits vary from country to country.<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Double-click the Country column in the Data panel. Being a geographical area, it plots data on a map. The tableau indicates the geographical column that placed the data on the map.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Drop the Streams column into the color for creating a map. For multiple streams, the color turns black.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">For less than two streams are indicated in a lighter shade.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The right-most side of the screen displays unknown values.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Double-click on the error notification to remove the data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use the filter to get the Global column.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/li>\n<\/ul>\n<h2><b>Streaming songs or artists<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Add the \u201cWeek\u201d to rows.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Also, add the SUM to columns.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You need to filter the Global data.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u00a0You can also analyze currents over time by adding consecutive \u201cweek (date)\u201d in columns and SUM (streams) in rows. <\/span><span style=\"font-weight: 400;\">Of course, in-depth analysis like &#8220;seasonality&#8221; can be done in the table and allows customized analysis.<\/span><\/p>\n<h2><b>Bring to Dashboard<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Just drag the sheets from the above analysis with the default<\/span><a href=\"https:\/\/help.tableau.com\/current\/pro\/desktop\/en-us\/maps_build.htm\"> <span style=\"font-weight: 400;\">map<\/span><\/a><span style=\"font-weight: 400;\">. Select the &#8220;Use as filter&#8221; option on the map and bar chart. Finish the map&#8217;s visual presentation settings with color, grid, and format options.<\/span><\/p>\n<h2><b>Data Analytics Certification<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">It is convenient for new graduates with nearly 5 years of industry experience to upgrade with Visualizing Spotify Data for new graduates and with a tableau course designed for career professionals in data analytics.<\/span><a href=\"https:\/\/imarticus.org\/postgraduate-program-in-data-science-analytics\/\"> <span style=\"font-weight: 400;\">Imarticus<\/span><\/a><span style=\"font-weight: 400;\"> Learning also offers you a <strong><a href=\"https:\/\/imarticus.org\/postgraduate-program-in-data-science-analytics\/\">PG degree in Data Analytics and Machine Learning<\/a><\/strong>.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0You become stronger with the foundation of data analytics and machine learning concepts and with the most in-demand data science tools and processes to play a better role in the data science domain. With the Data Analytics course, you can master skills in data visualization as well as Python, SQL, data analytics, and machine learning for data visualization. To get more information about courses in analytics, c<\/span><a href=\"https:\/\/imarticus.org\/contact\/\"><span style=\"font-weight: 400;\">ontact<\/span><\/a><span style=\"font-weight: 400;\"> us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Visualizing Spotify data with a tableau course Data science has emerged as a very demanding trend in the industry. Domain skills bring valuable insights from structured and unstructured data using standard tools and techniques.\u00a0 One of the aspects of data science is data visualization, which is called the graphical representation of the main information obtained [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":245986,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_mo_disable_npp":"","_lmt_disableupdate":"no","_lmt_disable":"","footnotes":""},"categories":[23],"tags":[2278,3472,3473],"class_list":["post-247087","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-tableau-online-training","tag-best-tableau-course","tag-tableau-career"],"acf":[],"aioseo_notices":[],"modified_by":"Imarticus Learning","_links":{"self":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/247087","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/comments?post=247087"}],"version-history":[{"count":1,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/247087\/revisions"}],"predecessor-version":[{"id":257975,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/posts\/247087\/revisions\/257975"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media\/245986"}],"wp:attachment":[{"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/media?parent=247087"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/categories?post=247087"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imarticus.org\/blog\/wp-json\/wp\/v2\/tags?post=247087"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}