For this week’s Makeover Monday I chose a dataset about freedom of the press because this has been such an important topic across the world in the past few years.
And here we go again. Week 1 once more, now my third ‘week 1’ as a co-host of #MakeoverMonday.
And here we are, week 52 of 2018. Another year has come to an end. It’s year 3 for #MakeoverMonday, the social data project, year 2 for me being part of this project and I get to look back on two eventful and exciting years of driving this project for the dataviz community.
This week’s dataset is about the performance of London buses on safety metrics, looking at incidents and injuries involving buses.
It is week 50 already and where has this year gone? The 50th week of Makeover Monday in 2018 and another opportunity to improve the way we visualize and analyze data.
What a random dataset: how many women were constructors of crosswords during the Era of Will Shortz.
As we head into ‘silly season’ and are only a few days away from December with all its Christmas parties, having a look at the cost of a night out in different cities around the world gives us an appreciation for how much a bit of entertainment will set you back.
After a very active day of redecorating, cycling, running and (somehow) a yoga lesson, the only thing I can still move with some coordination are my fingers on the keyboard, so let’s get into this week’s Makeover Monday challenge.
Diversity, particularly gender diversity, in business has been a hot topic for the past few years and is something we shouldn’t stop talking about until we’ve made some progress.
This week’s Makeover Monday dataset looks at the makeup of workforce of different tech companies over time.
For this week’s Makeover Monday we’re analyzing US population prediction data. Population is a fascinating topic and having such a neat dataset available certainly helps to explore it further.