This week, it took a village for me to create this dataviz. Inspiration by Eva Murray, Shivaraj, and Meera Umasankar’s Tableau Public DataVizzes for the Ironman World Championship. I liked how Shivaraj used a Bee Swarm Chart to compare distribution. I could not find a lot of information on Bee Swarm Charts and Tableau, but […]

Meera Umasankar Bio Being born and brought up in India, I’ve always wanted to meet people from different countries and enjoy being around people with different culture. That’s when I was lucky enough to land in Middlesex university, London with a scholarship for my undergraduate on Computer Networking. It was an awesome 3 years of […]

This week I decided I wanted to experiment with Shapes in Tableau. I cannot help but think of big bags of money when I think of politics these days. I went to the Noun Project and found a bag of money with the UK Pound Sterling image. I showed the bags of money, the amounts […]

This week I decided I wanted to experiment with Slope Charts. The slope chart is the line chart’s fraternal twin. Line charts display three or more points in time while slope charts display exactly two points in time. Defined by Edward Tufte in his 1983 book The Visual Display of Quantitative Information, this type of […]

I am slowly catching up on my #MakeoverMonday entries. San Francisco is one of my favorite cities. I recently saw a news special about this particular issue, and it frustrates me that this is happening to the elderly and poor. San Francisco housing and rental rates are ridiculously high, and if there is money to […]

So, I am a few week’s behind on my Makeover Monday goals. This one in particular took a lot of time to create. For full disclosure, I used Meera Umasankar’s, 17 Goals to Transform Our World, as a model for what I wanted to create. See screenshot snippet below of Meera’s dataviz. Meera created a […]

Planned Tableau 2019.4 Features View Recommendations – View Recommendations connect users to relevant data, especially in areas they did not think about looking for. These are PERSONALIZED recommendations of views and dashboards based on matching tastes between similar users – i.e. “You may also like this because similar users as you have viewed this.” User […]