week 49, Andy picked a dataset about union membership, from an article by Mona Chalabi, who writes for the Guardian and is a recognised journalist who uses data visualisation and data art to make information more accessible.
Given the buzz of #data19 last week, we’re working with a small and simple dataset for week 47, so we can all have some extra time to catch up on the things we missed at home.
For week 29, Andy picked a topic that is likely to cause a few people to blush. It’s always interesting
It’s Pride Month which offers a great opportunity to remind people that we’re not done yet when it comes to equality.
So it’s important to use our #MakeoverMonday platform also to highlight inequality, attitudes, opinions and perceptions.
For week 19 Andy picked baseball data and I’ll be the first to admit that I expected it to not be fun, because it’s a topic I know nothing about and I wasn’t quite ready to spend hours learning about baseball. Until I did.
For this week’s MakeoverMonday challenge, we look at data about bicycle imports to the UK from 2010 – 2016.
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 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.
What a random dataset: how many women were constructors of crosswords during the Era of Will Shortz.