This week was a bit of a risk for Makeover Monday. Eva and I weren’t sure how people would respond to a data set about orgasms, so we asked The Data Duo what they thought. To say they were excited is a big understatement. 108 vizzes later, we have an incredible resource of visualisations about orgasms. What’s not to love about that!?!
As we’ve been writing recently, I’m going to highlight a few things I noticed this week.
LESSON 1: BE CAREFUL USING AVERAGES OF AVERAGES
Many people used average reference lines across the gender and/or type. Other people chose to simply average the values across the gender and/or type. Both of these are mathematically inaccurate. Why? The sample sizes are different. You can’t take an average of an average unless the sample sizes are the same. All it took was a quick glance at the original research to see this. This is a basic analytical error that people really shouldn’t be making. If you have done this, I would encourage you to fix your vizzes.
LESSON 2: GIVE CREDIT FOR ICONS AND IMAGES
Did you use icons or images in your viz? If so, did you credit the creators? Unless you’ve purchased the content or it’s your own, you need to give credit. Way, way, way too many people didn’t do this. Consider how you would feel if someone took one of your pictures off of Facebook and used it in an image. You’d likely be pretty upset. How is that any different than someone using your Tableau workbook and calling it their own? It’s not. You’d hate that too. Please give credit where credit is due.
LESSON 3: USE MAKEOVER MONDAY TO LEARN A NEW TECHNIQUE
I love seeing people try new things with Makeover Monday data. The beauty of this project is that you have complete freedom to do what you want. This week many people learned how to create waffle charts and unit charts. Use Makeover Monday as a way to learn something new. You might not create something that is considered “best practice”, but if you’ve learned something, than you’ve done yourself a good service.
So onto my favorites from week 11.
Author: Chantilly J
Link: Tableau Public
What I like:
- Amazing, eye-catching overall design
- Great theme for this data set
- Using filled and open circles in the unit chart
- Every pixel is perfectly positioned
- Great use of grey colors throughout; this viz doesn’t need color
- Nice use of text to supplement the vizzes
- Including credits for icons sources
- The title and subtitle capture your attention.
Author: Ann Jackson
Link: Tableau Public
What I like:
- Nice use of a slope chart / bar chart combination
- The white horizontal line helps accentuate the slope graph.
- Good labeling
- Title captures your attention; I love titles in the form of a question.
- Simple, clean design; there’s nothing extra anywhere
- Including the measure in the bottom of the bar chart; I’ve never seen this done before.
Author: Wiktoria Gryniec
Link: Tableau Public
What I like:
- The whole viz, including learning how to create waffle charts, was done in under an hour! I was there. I saw it happen. It was magical!
- Good use of waffle charts
- Only including the blocks in the waffle chart for the percentage
- Cool choice of icons!
- Matching the waffle chart colors to the icons
- Simple, clean, well laid out design
Author: Suraj Shah
Link: Tableau Public
What I like:
- Simple layout
- Neatly grouped by type
- Font looks really good on this chart
- Using the subtitle as a color legend
- Big numbers for labels
- Including the sample size
- Alternating the colors by gender
Author: Pablo Gomez
Link: Tableau Public
What I like:
- Like Wiktoria, this entire viz was done in under an hour! Pablo came by the Data School for a Makeover Monday live session with us.
- Great use of waffle charts
- Love the bold colors!
- The waffles fill up from the middle out…neat idea!
- Great icons
- Nice big numbers to summarize the data
- Neatly organized
- Using the icons in the title as a color legend
Author: Timothy Vermeiren
Link: Tableau Public
What I like:
- Really like how Timothy iterated based on the feedback he received
- Cool idea to put the pie charts inside of the male/female symbols
- Including the donut charts for the difference
- Coloring coding the donuts by the gender color that is higher
- Neatly organized
- Nice big numbers