Tableau, Travel and Triathlons
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.
This one is for the perfectionists, the introverts and those who struggle to say no to stuff. It’s just as much a note to self.
#data19 has arrived and with it a live #MakeoverMonday session with A LOT of people. We want to use that opportunity of getting everyone in a room with their ideas and skills to tackle a topic that is very relevant today. Literacy and how literacy rates differ across countries, ages and gender.
For week 45, Andy selected a dataset about Las Vegas. It contains a number of metrics, including visitor numbers, gaming revenue, occupancy rates, etc.
There are quite a few stories in the data.
Before winter really takes hold, let’s look at some sunshine hours in cities around the world.
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.
