![]() ![]() Nothing really new here, I have just changed sighly the calculations because I wanted to have 3 columns and 2 rows ( I do not have more than 6 views per category). We do not need to create an action filter to filter the greyed details views on the right because I put a filter on the dashboard keeping only set category=true. Other forums recommend making changes to IE9, i.e. Then on the dashboard, you need to set up a set action : changing the value of the set by clicking on the “menu”. Intermittent connection Public Tableau since yesterday morning. The menu on the right is in reality a gantt chartĬolor : the set based on category ( if the category is the one selected in the set I apply a pink color, otherwise it will be grey) You can change the category by clicking on the menu on the left and the grey part on the right will be filtered. To have the correct URL, you need to split the default view repo URL field and then join them to remove the “/sheet” part.įrom instance here the category sciences and Health is selected and the 5 dashboards from this category are displayed. On this data, you can find the title of your vizzes, the date of publication, the number of views, favorites, the url (after some work) and many more. ![]() So I just pull the data using the link below and save the result as a JSON file. The idea was to analyze how well/bad my visualizations are perceived, why some generated a lot of views/ likes… and some not. Jeffrey explains very well how to download your own data and perform some calculations to be able to use it. Some time ago I created an analysis of my Tableau Public profile link using the wonderful blog of Jeffrey A. The Dataįor the data, I could have copy-pasted my url links on an excel, but I decided to use the Tableau Public logs instead, so it is faster and I can integrate more statistics (for instance: when a dashboard has been published or the numbers of views…) to drive the reader decisions. Tableau Public Interact with public vizzes from around the world Tableau Public is a free platform to explore, create, and publicly share data visualizations online. In term of design, I tried to give a nice touch for the full workbook using only pink and grey. ![]() The goal was to provide quick discovery of my portfolio by theme and then a drill down into the views with the capacity to open the selected view. ![]()
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