#MakeoverMonday Week 41 – Data Survey Results

Charlie gave us a pretty simple and straight-forward dataset for this week’s MakeoverMonday. It comes from DataIQ’s survey on Data Assets and Data Cultures. Basically, it’s about how many respondents of their survey came from which industry sector. 

Here’s the simple bar chart I created with that dataset:

Here are some of the thoughts I had while creating this:

  • I struggled to find any interesting insight in this data. I thought about grouping the sectors to find something more interesting – but I couldn’t really find a way of grouping that made sense to me. But without further grouping, the percentages become really small. You now end up with information such as ‚2% of recipients work in logistics‘ – which just doesn’t feel all that useful to me. However, the ‚Other‘ gorup was already pretty large with 11% – so putting some of the smaller percentages into that category wasn’t a viable option for me either. In the end, I just accepted the data as it is. Maybe I’m just not the right person to look at that data. Maybe it’s quite insightful for someone who works with surveys more often. I decided to not focus too much on the content and concentrate a bit more on the design aspect of it.
  • A bar chart might seem a bit boring. But I think in this case it really is the best way to present the data. But I’d be happy to be proven wrong if someone comes up with something amazing. All the other vizzes I’ve seen so far have also been bar charts, though.
  • I used a vibrant blue color (#11139a) that I had in my color inspirations for a while and finally got a chance to use.
  • I tried something I haven’t done before with the positioning of the labels on top of the bars. I did it by creating the bars and the labels on separate worksheets and then floating them on top of each other on the dashboard. There might be a better way to do this which I might explore if I ever have time. I would also try to find a way to increase the spacing between the individual bars to give them a bit more breathing room.
  • At first, I put the explainer text below the title (above the bar chart). But then I realized that there is so much whitespace in the bar chart that I’m wasting. So I placed the text there instead. I included the lines to still create a connection between the title and the text. My hope is that this guides reades to start with the title and then go to the text before actually looking at the chart.