packages = [ "pandas", "plotly", "matplotlib", "seaborn"] [[fetch]] from = "./data/london2018-2.csv" to_file = "./london2018-2.csv" [[fetch]] from = "./data/tempbydecade.csv" to_file = "./tempbydecade.csv" [[fetch]] from = "./utils.py" to_file = "./utils.py" [[fetch]] from = "./data/2022WinterOlympics.csv" to = "./2022WinterOlympics.csv" import utils

12 Essential Visuals

and how to implement them - an interactive course

"When I look back over the 150+ visuals that I created for workshops and consulting projects in the past year, there were only a dozen different types of visuals that I used", Cole Nussbaumer Knaflic in Storytelling with Data, a data visualization guide for business professionals (affliate link)

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