This week the data comes to us form Visual.ly and spoke to what people from different social strata thought was the secret to success. Originally, this was presented in a spider chart, but I opted for good old, simple bar charts. Because of the dark background I created a worksheet to act as the legend […]
This week’s data set was a great one on the NCAA Basketball tournament AKA March Madness. I decided to do a Team by Team analysis to see point differential and success per year. I really like the color palette, custom shape and overall flow of this one.
This was a fun one to Google… Simple dataset; simple viz. Some custom shapes was all it takes.
Recently I started working on an expansive dashboard project and was looking for a flexible way to manage the project. We are using Trello to manage our Agile process and I thought that I would try and marry the two.Take a look and let me know what you think. First I started with the Labels. […]
I played around a bit with the data, and ended up finding this weird data point on this channel that had a small number of video, and subscribers… but had a ton of views. A click and a watching on the video later I think I figured out the reason.
I was struggling with color palettes recently so I decided to put together a large Preferences.tps file to give me a ton of palettes to play with… so I thought I’d share. Preferences.tps
This week we took a look at Andy’s American Express usage for 2016. Pretty normal except for the new car purchase. I really like the action I did with the list of monthly transactions and the monthly spend time line.
One of the things I love most about #MakeoverMonday is the data sets… and the variety of those data sets. This week did not disappoint… Potatoes! Who knew Ireland was lacking in potato production?
Ah, my least favorite holiday… Valentines spending is crazy… people buy for their pets. This week’s data was all about VD spending… Who and What we spend our money on…
This weeks data was all about Chicago taxi usage… and more importantly the decline. No comparative data to Uber or Lyft, but one can only assume that the rise of the Ride Share ecosystem has negatively effected the taxis in large metro areas. This data set was large, so I really focused in on the […]