{"id":2146,"date":"2017-05-13T01:26:22","date_gmt":"2017-05-13T01:26:22","guid":{"rendered":"https:\/\/blogs.scu.edu\/dataviz\/?p=2146"},"modified":"2017-05-13T01:26:22","modified_gmt":"2017-05-13T01:26:22","slug":"fantasy-premier-league-player-analysis","status":"publish","type":"post","link":"https:\/\/blogs.scu.edu\/dataviz\/2017\/05\/13\/fantasy-premier-league-player-analysis\/","title":{"rendered":"Fantasy Premier League Player Analysis"},"content":{"rendered":"<p>Sometimes a nice Tableau dashboard visualization does not need to give some prediction. It just gives you the fact, but audiences can easily use it, inspect the data in their own ways, get the conclusion, and make the decision themselves. Here\u00a0is such a beautiful and powerful viz:<\/p>\n<p><a href=\"https:\/\/public.tableau.com\/en-us\/s\/gallery\/fantasy-premier-league-player-analysis\">https:\/\/public.tableau.com\/en-us\/s\/gallery\/fantasy-premier-league-player-analysis<\/a><\/p>\n<p>Why this is a wonderful dashboard?<\/p>\n<ol>\n<li>It meets all five requirements: trustful, functional, beautiful, insightful and enlightening. Filter feature on every measurable variables give you unlimited possibilities to do deep research on the players, and meantime its clear but not complex.<\/li>\n<li>Audience usually have their own favor. Do some prediction on players is not wise. So, this dashboard does not give any pinpoints or predictions on players, it just give you the actual data, fact is better to\u00a0convince\u00a0different group of audience than predictions.<\/li>\n<li>Audience can define\u00a0KPIs and do analysis themselves. You can do a \u00a0price-points analysis, which give you a clear look at price\u2013performance ratio to make decision, \u00a0you can also view ownership%-points sheet, and make prediction\u00a0of future price of the player you are looking at.<\/li>\n<\/ol>\n<p>At the bottom-half\u00a0part, you can see the player comparison. This gives you a detail look at two players when the dashboard on the top-half can only show two measurements at one time, but here, you can see all the measurements in one sheet. Also, some useful viz\u00a0like player&#8217;s price and points trends-view posted on the detailed sheet too.<\/p>\n<p>No dashboard is perfect, here&#8217;s a\u00a0little issue from my view:<\/p>\n<ol>\n<li>The red\/black color is hard to understand. I cannot understand why some players are red, but others are black.<\/li>\n<li>Historical\u00a0data is lack. Player performance comparison between years, months, days and player performance against one certain team\u00a0historically are also important and helpful. But this viz\u00a0did not make it.<\/li>\n<\/ol>\n<p>Here&#8217;s another Data Viz on fantasy premier league:<\/p>\n<p><a href=\"http:\/\/public.tableau.com\/views\/PremierLeagueFantasyFootballWDC\/PlayerSummary?:embed=y&amp;:tabs=n&amp;:display_count=yes&amp;:showVizHome=no\">http:\/\/public.tableau.com\/views\/PremierLeagueFantasyFootballWDC\/PlayerSummary?:embed=y&amp;:tabs=n&amp;:display_count=yes&amp;:showVizHome=no<\/a><\/p>\n<p>This one does a detail analysis on player. The most powerful thing is, now you can compare a player with his previous seasons. But this viz is hard to use. Why? You need to remember one player&#8217;s data in your mind, and look at another&#8230;I am sure when you are looking at the 10th player, you must forget what the first one look like&#8230; And, compare the player&#8217;s points with average points, it is not that useful&#8230;Whether you look at a very good player, or some potential one, you know you are looking at different measures. not points.<\/p>\n<p>Source:<\/p>\n<p>http:\/\/public.tableau.com\/views\/PremierLeagueFantasyFootballWDC\/PlayerSummary?:embed=y&#038;:tabs=n&#038;:display_count=yes&#038;:showVizHome=no<\/p>\n<p>https:\/\/public.tableau.com\/en-us\/s\/gallery\/fantasy-premier-league-player-analysis<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sometimes a nice Tableau dashboard visualization does not need to give some prediction. It just gives you the fact, but audiences can easily use it, inspect the data in their own ways, get the conclusion, and make the decision themselves. Here\u00a0is such a beautiful and powerful viz: https:\/\/public.tableau.com\/en-us\/s\/gallery\/fantasy-premier-league-player-analysis Why this is a wonderful dashboard? It &hellip; <a href=\"https:\/\/blogs.scu.edu\/dataviz\/2017\/05\/13\/fantasy-premier-league-player-analysis\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Fantasy Premier League Player Analysis<\/span><\/a><\/p>\n","protected":false},"author":1714,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"qubely_global_settings":"","qubely_interactions":"","kk_blocks_editor_width":"","_kiokenblocks_attr":"","_kiokenblocks_dimensions":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-2146","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":0,"qubely_featured_image_url":null,"qubely_author":{"display_name":"yuancheng","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/yuancheng\/"},"qubely_comment":0,"qubely_category":"<a href=\"https:\/\/blogs.scu.edu\/dataviz\/category\/uncategorized\/\" rel=\"category tag\">Uncategorized<\/a>","qubely_excerpt":"Sometimes a nice Tableau dashboard visualization does not need to give some prediction. It just gives you the fact, but audiences can easily use it, inspect the data in their own ways, get the conclusion, and make the decision themselves. Here\u00a0is such a beautiful and powerful viz: https:\/\/public.tableau.com\/en-us\/s\/gallery\/fantasy-premier-league-player-analysis Why this is a wonderful dashboard? It&hellip;","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/2146","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/users\/1714"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=2146"}],"version-history":[{"count":1,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/2146\/revisions"}],"predecessor-version":[{"id":2182,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/2146\/revisions\/2182"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=2146"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=2146"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=2146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}