What a random dataset: how many women were constructors of crosswords during the Era of Will Shortz.
Becoming a better presenter takes practice, patience and time. Here are 7 tips based on my own experience over the last few year.
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.
And then there is a dataset about poo. Who would have thought? But sometimes we need something as ordinary as that to keep things from getting too serious :-).
For this year’s TC Makeover, Andy chose to go down memory lane and picked his first ever Makeover Monday viz which was about Major League Baseball beer prices.
When we do something 3x a day, every day for our entire life, it seems like it’s an important thing and we should give it some attention, doesn’t it?
This week’s dataset looks at the percentage of women in the house of representatives.