• Resizing the continents by their overall exports makes it obvious that Europe is the largest exporter.
• I hate packed bubbles, however in this view, the largest countries stand out by double encoding with color.
• Including the percentages for each continent provides needed context

What could be improved?

• The packed bubbles make comparisons overly difficult.
• The color legend uses unequal intervals.
• Plotting the data on a map doesn't add any context.
• There's no sense of overall ranking across all countries.
• If you ask "so what?", there's no answer.

The article that accompanied the viz provided quite a few interesting statistics. It would have been great if these were included in the original viz, but they weren't, so I decided to make something super simple that:

1. Has an informative title and subtitle
2. Provides context
3. Provides insight
4. Uses color effectively

That's it. Simple, quick. That's how I like my Makeover Mondays.

My good friend Paul Chapman stopped by the Data School this morning with his boss to talk about my experience with Exasol and to go through a short demo. We decided to use the 500m+ row dataset that we have at The Information Lab of prescriptions in the UK.

I started building a few things to show off Exasol's amazing performance and when I put the medication on the filters shelf, Paul's boss laughed when he saw "anal plugs" in the list. Naturally, me be the completely immature 42 year old that I am, I had to turn it into a story about Paul, who probably won't call me a friend for much longer. We checked Paul's town and saw many places where he could buy this product, if so he chose.

From there, I decided to spice it up a little bit, adding another medication and created the viz below. Hopefully he's at least happy that I used easyJet's official colors.