This week brings a challenging topic. One that requires all of us to slow down a bit rather than rush to work with the data. Topics that are polarising and/or taboo in society give us analysts an extra bit of responsibility treat the data carefully, check our assumptions and conclusions and be mindful of the wording we use to draw attention to a topic.
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.
#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.
This week’s #MakeoverMonday takes us to one of Andy’s very first vizzes and one of the first vizzes published on Tableau Public (he published 8 vizzes the day the platform went live). We’re looking at STD infection rates in America.
For week 25 and our #MakeoverMonday live event at Tableau Conference 2019 in Berlin, Andy picked a dataset about Air BnB ratings in the German capital.
For week 10 we are collaborating with the team at Operation Fistula to support their mission and to bring more visibility and awareness to the issue of obstetric fistula (‘the worst thing you’ve never heard of’).
Week 3 is upon us and we’re moving from Freedom of the Press to minimum wages in the US.
For this week’s Makeover Monday I chose a dataset about freedom of the press because this has been such an important topic across the world in the past few years.
After a very active day of redecorating, cycling, running and (somehow) a yoga lesson, the only thing I can still move with some coordination are my fingers on the keyboard, so let’s get into this week’s Makeover Monday challenge.
And because everyone is talking about maps, this week brings another mapping dataset for Makeover Monday, featuring
an interactive map of countries where Nike factories are located