![]() Our team went to work right away and developed what was to be the first of a number of tracker dashboards to help visualize the scope of the pandemic. Tableau was one of the first to recognize that data was going to play a central role in helping people see and understand what was happening. I understand that these countries may not have the same data protection laws as the country from which I provide my personal information. In particular, I consent to the transfer of my personal information to other countries, including the United States, for the purpose of hosting and processing the information as set forth in the Privacy Statement. I agree to the Privacy Statement and to the handling of my personal information. ![]() By submitting this form, you confirm that you agree to the storing and processing of your personal data by Salesforce as described in the Privacy Statement. By submitting this form, you acknowledge and agree that your personal data may be transferred to, stored, and processed on servers located outside of the People's Republic of China and that your personal data will be processed by Salesforce in accordance with the Privacy Statement. Reference Materials Toggle sub-navigationīy registering, you confirm that you agree to the processing of your personal data by Salesforce as described in the Privacy Statement. ![]() Teams and Organizations Toggle sub-navigation.The first video provides an overview of the Tableau data-set and touches upon the visualizations required to build out the dashboard. You will need at least Tableau 2019.2 to use the sheet swapping functionality. I use this functionality to switch between a linear and logarithmic scale for confirmed cases and deaths. This dashboard utilizes the Tableau pages functionality to enable animation as dates change the dashboard updates to reflect the current number of confirmed cases and deaths at that point in time.Īnother cool trick is the use of containers to swap visualizations on the same dashboard. ![]() The great part about this dashboard is that it can be put together without reliance on overly complex calculations or the need to be a graphic designer, and it looks amazing if I do say so myself. In this set of videos you will learn how to use Tableau and the Johns Hopkins data set which tracks COVID-19 cases across the globe, to assemble a dashboard. I did not expect the series to be as popular as it turned out to be, but it is one of my most viewed lessons on YouTube! I’ve used some of this time crafting a dashboard series leveraging the outstanding COVID-19 data hub provided by Tableau. Like most of you, I find myself with an abundance of weekend time to spend indoors. I hope everyone is safe and staying indoors during this challenging time. Of course, always cite your sources and inspirations!! It’s all about learning! I encourage you to make use of workbooks that others have shared for bettering yourself and appreciating skills that are at the next level. Of course if you want to see the whole dashboard in context with the original back-end naming conventions and layout you can go download the official workbook and deconstruct it for yourself. In the video you’ll learn how I simplified some of the back-end aspects to be a tad more approachable for beginner to moderate Tableau learners. Smoak August 18, 2020įrom a learning standpoint, there is a good mix of parameters, filters, context filters and Level of Detail (LOD) calculations that work in concert to deliver the desired outcome. Thank you to Zen Masters, Allan Walker and for great dashboard design and data. ![]() I spent a lot of time breaking down how #Tableau put together this 1 KPI in their #COVID19 Cases Starter Workbook so you don't have to. You have to love the dynamic nature of Tableau! This even applies to the size of our marks on a map. By using two parameters we can update our visuals to display the correct measure based upon user selected options. You will learn a neat little trick that encapsulates multiple measures into one calculated field. I should mention that we are using the carefully curated data offered at the Tableau’s COVID-19 Data Hub. Accurate data is made possible through the use of a context filter to equalize the data that is displayed between the United States and all other countries (U.S. In this video I will demonstrate to you how they use parameters to dynamically change the measure that is displayed on both a map and bar chart. You know the drill by now, I spent weekend hours analyzing an impressive dashboard put together by Tableau Zen Masters Anya A’Hearn, Tamas Foldi, Allan Walker, and Jonathan Drummey. Operation “Reverse Engineer” a Tableau Zen Master dashboard is back in full effect. Costco's Underinvestment in Technology Leaves it Vulnerable to Disruption ![]()
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