I experimented with Canva this week to create a simple design after doing the data analysis in Tableau. I quite like this approach for small datasets and focused data stories that don’t require interactivity.
For this week’s #MakeoverMonday, Charlie chose a dataset about the unpaid apparel orders by US brands from their producers, resulting in severe detrimental impacts on workers rights and businesses.
For week 42 I created a heat map to show health spending in different countries over time. The US certainly stand out on a per capita basis.
This week’s dataviz challenge takes a terrible chart that communicates nothing and turns it into something that’s easy to understand.
This week’s #MakeoverMonday is a very simple chart in Tableau that I created during our #MMLIVE event to kick off the week of #data20.
This week I use Tableau and Canva to create an infographic style visualization focusing on the worst data point: almost 30% of girls in Chad are married by the age of 15.
Line charts are easy and quick to create in Tableau and you have great flexibility to move your date fields into any order you choose. That’s how I created this week’s cycle plot for book prices in Germany.
I used the #MakeoverMonday dataset to build a very simple but clean bar chart in Tableau
How do you create a true makeover of a viz? Evaluating the existing one, then taking several steps to improve on it is the approach I took this week for come up with my own viz about calories and sugar in breakfast cereals.
Virat Kohli’s batting average since the 2015 Cricket World Cup