G7 Employment Share and Growth

Another simple dataset this week focused on the “G7” and their share employment by county.  Mapping was my first thought but I thought that would be to simple. At work I have been utilizing Dan Montgomery’s published trick using MIN(1) to allow for separate formatting of elements. I still included a mapping element, but it […]

G7 Employment Share and Growth

Trump Tweets

I struggled with this one… I was ready to give up on my New Year’s Resolution because I despised the data set and subject.  I found a reason to Viz; learning. I’ve been meaning to do something with polygons and custom maps but had never found the right opportunity. I wanted to say something political, […]

Trump Tweets

Annual iPhone Sales

Week 2 of #MakeoverMonday gave us iPhone sales. The story line was that 2016 was the first decline in total sales. I added the quarter in to the data and you will see that Q1 sales were up slightly, so early adopters continued to grow. The mid to late adopters were weaker, and I would […]

Annual iPhone Sales

Australian Wage Gap

My 2017 resolution… complete all 52 #MakeOverMondays Week 1 – The Australian Wage Gap So may angles to look at this… but at the level of detail the data sat at, the sampling per occupation skewed the wage gaps. So I limited the data to occupations that had more than 8000 people in this positions, […]

Australian Wage Gap

Inequality

Sometimes finding the story in the data is the hardest part. This week I started all over the road, looking at presidents in office and creating a grouping on the political party. When I did that I noticed the highs and lows when I create a trend, and with a quick google I figured out […]

Inequality

Where to Eat?

This week all the Tableau faithful are in Austin while I am secluded in Cleveland. Austin is know for “Staying Weird” and an amazing music scene, but they also have a ton of great restaurants. This week’s data has to do with inspection scores, so I was curious since they are there for a week […]

Where to Eat?

Scottish Index of Multiple Deprivation

This week was all about distribution. The original visualization was described as a “bar code” chart, and while it showed the general geographic regions depravity ranking by data zone, there was underlying details that I felt were worth highlighting, so I added a details box and whisker chart to the overall distribution box and whisker […]

Scottish Index of Multiple Deprivation

The Political Response

Taking on what was said and what wasn’t said by politicians in the wake of the Pulse nightclub shooting in Orlando. I grouped the generalized topics in to a higher level sentiment prior to looking at the data into “Typically Left”, “Typically Right” and “Centrist/Vanilla” (i.e. party safe). My assumptions were correct for the most […]

The Political Response