#MakeoverMonday 2020 Week 40: The U.S. Counties With the Highest Economic Output
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.
Tableau, Travel and Triathlons
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
For week 34 of #MakeoverMonday, we are once again partnering with the team at Operation Fistula for a #Viz5 challenge, visualizing data about the issues impacting women and girls. This time, we’re looking at Sexual and Reproductive Health and Rights.
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.