#MakeoverMonday 2020, Week 14: Unpaid work – allocation of time and time-use
It is another week for a Viz5 dataset as part of our collaboration with Operation Fistula. This month, we’re looking at the topic of unpaid work.
Tableau, Travel and Triathlons
It is another week for a Viz5 dataset as part of our collaboration with Operation Fistula. This month, we’re looking at the topic of unpaid work.
I’m pretty partial to food topics and this week Charlie chose an ‘excellent’ viz very much in need of a
Here’s a viz about what’s been taught at University of California
For this week’s #MakeoverMonday challenge, Charlie chose a chart from ‘Our World in Data’ on Live Satisfaction vs GDP per capita.
This week we launched the Visualize Gender Equality campaign #Viz5 and we are starting with a heavy topic: violence against women and girls and the perception of women and men towards violence being justified.
On a Monday morning here in London, the topic of sleep seems pretty appropriate, I have to admit, because getting enough sleep between various work and life commitments (and choices) can be a struggle.
For week 8 I chose a dataset from the Australian Institute of Health and Welfare, looking at homelessness statistics and, more particularly, the outcomes of specialist homelessness services.
For this week’s #MakeoverMonday challenge, Charlie chose a terrible chart that is in desperate need of a makeover.
A few weeks ago, someone shared a viz from the Washington Post with me that showed how much of ‘your’
For week 5, Charlie picked an interesting dataset, stemming from a survey of Brits on how they voted in political elections as well as their opinion on James Bond actors and how open they are to a future Bond being female, gay, of ethnic minority origin or non-British.