A quick and simple viz from me this week for video game sales numbers for Nintendo Switch (hardware and software).
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.
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.
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
A simple bar chart for this week’s #MakeoverMonday about tech companies in Scotland
A quick visualization to show the benefits of working from home, as reported via a survey.
For this week’s #MakeoverMonday we’re looking at how many visits abroad people from the UK are making on a monthly basis.
This week sees us tackle another #Viz5 dataset, focusing on a gender equality topic: women in power, i.e. the parliamentary representation of women. The dataset comes from the World Bank and the team at Operation Fistula created a visualization for us to use as a starting point.