$2.1 trillion dollars? We are used to hearing monetary values like that, but what does 2.1 trillion dollars look like? It’s such a huge number, I thought it would be good to relate it to other types of expenditure.
It is astonishing that the offshore money is 2/3 the size of the entire US federal budget.
This weeks source was in need of a makeover. Pie charts aren’t a great way to show this data (read Stephen Few’s classic “Save the pies for dessert” for a great explanation). Making a pie with so many slices renders everything virtually unreadable.
Another cracking day, judging by the scores. The leaders were having a good old ding-dong battle. Pasi faded at the end of the second round, but Juho stormed on through:
Players clearly learned a new approach on hole 1 today. In round 1, there were around 60 pars and over 100 over pars. Today? More people got par than any other score:
Now – what we all want to know is what are our Golden and Brown rounds? The golden round is when you take the best score of each hole and total that. The brown round is the opposite: what’s the worst score?
Here’s a static image, but the interactive version is below:
Finally well done to Team GB’s junior, Ned Morris, who had a great second round. Look at that steady-as-a-rock run of pars from holes 9-16:
Ned – don’t worry about bogeying holes 16 and 18. Derek’s done the same in both rounds:
Each screenshot has a link to the interactive version.
First of all – you can compare players against each other. Here’s team GB’s progress through round 1. Chris O’Brian did extremely well, while Derek, Dan, James and Si all ended up within 1 shot of each other:
How about the holes? Well, hole 1 was brutal. 4 birdies and >100 bogeys or worse. Ouch. Hole 4 was the opposite: 40% of all players birdied it today.
And how did the Open division do in terms of Birdies/Bogeys? Well done Pasi Koivu for getting 11 birdies! Amazing.
Check this out. I’ve been using Tableau 10 for months and months, and only discovered this feature today. If you highlight an item in the colour legend, and then right-click, you can set the color palette to be the highlighted state.
This is great for people who like to export static images a lot. Animated GIF below:
I found myself doing something simple and possibly too experimental. I looked at which countries are seeing growth and decline in Malaria deaths. It turns out that, for the countries with good data, there’s a balance of impriving and worsening countries. Overall, the number of deaths has been pretty static since 2001. Not great news.
My original layout was horizontal but I couldn’t get the country labels to align nicely or fit, so I went for the vertical layout, even though “you should never do vertical time series.” Well, I just did. Below is the horizontal version:
I’m back from vacation and in catch up mode, so here is 3 weeks of MakeoverMonday with super-fast summaries of each one. A lesson from catching up like this is that time pressure really helps keeping things simple and thinking about the simplest way to communicate a simple message. It forces you to condense your approach to the pure display of the data itself.
The photo of Vinnie Jones and Paul Gascoigne is utterly fantastic. I realise that the mentions in this dataset relate to 2016 basketball, but, well, I couldn’t resist using the photo.
I tried for a while to show the whole dataset in an interesting way, but I couldn’t find a way to make it feel interesting. I stepped back and noticed the 1920 spike in overall medals. A quick read on Wikipedia revealed the brilliant fact that 1920 Summer Olympics included a week of Winter Sports. Bonus fact!
Short on time, I went for a super simple nested bar chart. Looking up the information and comparing values is easy, which cannot be said of the original. The thing is, even if I had all the time in the world, I don’t think you could create a more effective display of the information than the nested bar chart.
It got me thinking: what other pieces of gold (and not so gold) are languishing in our blogging past?
So I call on everyone to share their old stuff. Each Thursday, from this week, I’m going to share one of my really old posts. Some are still relevant, some are showing their age, and some are plain silly.
Join me! If you were blogging before 2013, what should we go back and read?