Data is Beautiful

Source:https://stevenmarcscott.substack.com/p/tour-de-france-2024-stage-profiles?r=3qls9

Basically, title.

Source (yes sorry it's LinkedIn, if you any another one, I'll update): https://www.linkedin.com/posts/prof-stefan-michel_notsweden-train-activity-7210174690827370496-8iJz?utm_source=share&utm_medium=member_ios

Source of data: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/T0HSJ1

Edit: removed OC as it's not (sorry)

Not the prettiest graph, but a neat way of putting all this information into one image.

Wiki Commons page: https://commons.m.wikimedia.org/wiki/File:Generation_timeline.svg#mw-jump-to-license

Wikipedia page on Generations: https://en.wikipedia.org/wiki/Generation

Data from:

• TIGER/Line Shapefile, 2020, State, Michigan, County Subdivisions
• Michigan Concentrated Animal Feeding Operations (CAFOs)

Map created using QGIS, a free and open source geographic information system.

Color blind friendly color palette selected using ColorBrewer 2.0.

Source: https://www.douane.gouv.fr/la-douane/opendata/mots-cles/recolte

Be careful, numbers are department numbers, not quantity of wine (which is represented by the color)

I sourced the data from dozens of 90s hip hop songs. Then used Python to analyze that file, and D3 to visualize the information. Here is a GitHub repo with the code I used. And here is a YouTube video exploring that code and how it all works together.

I'm not the original author. But I thought it was cool and thought it should live on Lemmy.

Source: https://chrisdallariva.substack.com/p/when-the-fck-did-we-start-singing

Source: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/marriagecohabitationandcivilpartnerships/datasets/marriagesinenglandandwales2013

Source: https://www.visualcapitalist.com/next-characters-to-enter-the-public-domain/