Content warning: This post and the data visualisations within it focus on the topic of suicide. If you are not comfortable with the topic, please don’t feel obliged to continue.
In this blog post, I have collected all that I have learned about public speaking and the approach I take.
Being a triathlete and a big Ironman Hawaii fan myself, I thought, why not challenge our Makeover Monday community to visualise the medal table for the men’s and the women’s race.
For week 41, Andy chose a dataset about donations accepted by political parties, published by the electoral commission. The visualisation is an interactive Tableau dashboard, but it’s far from best practices and screams for a makeover
For week 40 I chose a rich dataset with a simple viz showing population predictions for London.
For week 39 we are looking at eviction notices for San Francisco, leading to tenants having to vacate their homes. The original article investigates possible reasons for these evictions and finds strong indications that evictions – for whatever reason – may be linked to the tech boom and the desire by landlords to cash in on the influx of high-paid tech professionals.
This week #MakeoverMonday is collaborating once again with the team of the SDG Action Campaign ahead of the Global Goals week during the UN General Assembly.
There is a dataset we’ve had in our backlog for months and I’m excited that Andy decided to use it for this week. It’s about book checkouts at the Seattle Public Library, particularly those of work by James Patterson.
September 1st is the first day of autumn, meteorologically speaking. So I picked a dataset about how Americans feel about the different seasons.
The original viz and data comes from YouGov.
For week 35 Andy picked a dataset about gaming and the shift from PCs and consoles to mobile.