Visualizing multicollinearity in Python – I like the network one although it is not very intuitive at first sight. The others you can also get using pandas-profiling.
https://medium.com/@kenanekici/visualizing-multicollinearity-in-python-b5feedc9b3f1
Advanced Visualisations for Text Data Analysis – besides the suggested charts themselves, it is nice to get to know nxviz. I would actually like to see those charts as part of plotly as well.
https://towardsdatascience.com/advanced-visualisations-for-text-data-analysis-fc8add8796e2
Data Tales: Unlikely Plots – bar chart is boring (but informative :), but sometimes we need to think out of the box plot
https://medium.com/mlearning-ai/data-tales-unlikely-plots-1882c2a903da
XKCDs I send a lot – Is XKCD already an industry standard?
https://medium.com/codex/xkcds-i-send-at-least-once-a-month-1f6e9f9b6b89
5 Tier Problem Hierarchy – I use this framework to think of tickets I write, what is the expected input, output, and complexity, what I expect from each of my team members, etc.
https://typeshare.co/kimsiasim/posts/5-tier-problem-hierarchy-4718
Tom Ron 