VizWiz

Data Viz Done Right

September 16, 2019

#MakeoverMonday: Committed Forever to Positive Impact Events

No comments
This week is a partnership between the Makeover Monday community and the UN SDG Action Campaign. Here's the viz they've asked us to makeover:


What works well?
  • Everything looks very crisp, as it always does on Google Data Studio.
  • Good filtering capability
  • Allows you to explore the data in any way you desire
  • Colors of the bar chart are easy to distinguish

What could be improved?
  • It's way too long; I know I would never read all of it.
  • The stacked bar / treemap charts things don't make sense at all.
  • There's no structure to guide the user; like what is most important?

What I did
  • I focused on the high-level goals.
  • I noticed that there were a lot of people that said they would commit to action forever, so I made that the focus of my viz.
  • I had originally split the view up by gender, but that didn't add anything to the analysis, so I took it out.
  • I used the colors and fonts from the Positive Impact Events website.

And here's my makeover...

September 10, 2019

#MakeoverMonday: Alex Cross vs. Women's Murder Club

No comments
I saw a data set (I don't recall where from) about library checkouts at Seattle public libraries and thought it would be a fun data set to play with. The original viz that I wanted everyone to makeover was about Jane Austen, but the checkouts for Jane Austen books was pretty sparse.

I thought about James Patterson, an author I used to read quite often and is extremely popular. This has provided something worth vizzing.

Before I get to that, let's look at the original:


What works well?
  • The timeline is in sequential order.
  • The dark background lets the dots pop out.
  • The colors are easy to distinguish.
  • Simple title and subtitle.

What could be improved?
  • The y-axis is missing.
  • The dots are double encoded by size and position on the y-axis.
  • Google trends are included for some reason.
  • The legend could be simplified.

What I did
I wanted to look at seasonality and trends for each of the books. I got nowhere really quickly. I struggled and struggled with ideas and ended up not having enough time to finish on Monday.

In the end, I decided to take some inspiration from Workout Wednesday week 10 2018. I also chose to focus on only two book series: Alex Cross and Women's Murder Club. Why? Because those are the two series of his books that I read the most. The color theme comes from James Patterson's official website.

#TableauTipTuesday: How to Create a Waffle Chart Using Data Densification

No comments
In this tip, I show you how to use a calculated join to create a waffle chart. This method of data densification can remove the need for any complex data blending.

September 1, 2019

#MakeoverMonday: Which season do Americans prefer?

No comments
On to week 36 we go. This week Eva has chosen a simple data set and simple viz. Let's have a look:

SOURCE: YouGov

What works well?

  • The seasons are sorted according to when Americans experience them.
  • Nice clean design
  • Labeling the tops of the bars
  • Hiding the axis
  • Color are easy to distinguish

What could be improved?
  • I keep having to refer back to the legend. Maybe label each bar once?
  • This show a comparison of the ages within a season. If the viewer wants to compare the seasons by age, then that become difficult.

And here's my version, which allows you compare both across seasons and across age groups: