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.
Not a big fan of Valentine’s Day myself but this dataset was amusing to go through. It’s interesting how men and women see the purpose of Valentine’s Day so differently!
In all countries women more than men consider the burden of domestic duties and responsibilities to have more of a detrimental effect on equality.
Looking at different countries and comparing their numbers I noticed that among all EU27 countries, Latvia was the only one where production from renewables decreased since 2000, while all other countries went to increase their production from renewables.
A visualization of data about Indian coal mines and their production outputs.
This week I created a bar chart that shows that temperatures have risen progressively over the past few decades.
For this #Viz5 challenge I focused on Eswatini and the hopeful trends related to HIV infections and AIDS related deaths in the small African nation.
As we turn over the calendar to 2021, we also kick off another year of #MakeoverMonday. This week’s visualization challenge is about the trail usage of people in the US, measured through observational data in outdoor areas where trails provide access to nature for people across the country.
The last #MakeoverMonday of 2020 is about cocoa imports by Europe, Asia & Oceania and the Americas. Check out the bar chart I created as a makeover to address the shortcomings of the original.
This week’s dataset is all about the work of Bob Ross and the elements in his paintings and the frequency with which they appear. I focused on those elements that hardly ever got painted…