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Visualizations
To dey show data na one of di most important work wey data scientist dey do. Picture fit talk pass 1000 words, and di way wey you go fit show data fit help you see plenty tins for di data like spike, outlier, group, tendency, and other tins wey go help you sabi di story wey di data wan tell.
For dis five lessons, you go check data wey come from nature and you go make fine and interesting visuals using different methods.
| Topic Number | Topic | Linked Lesson | Author |
|---|---|---|---|
| 1. | How to show quantity | ||
| 2. | How to show distribution | ||
| 3. | How to show proportions | ||
| 4. | How to show relationships | ||
| 5. | How to make visuals wey get meaning |
Credits
Dis lessons for visuals na work wey 🌸 Jen Looper, Jasleen Sondhi and Vidushi Gupta do.
🍯 Di data for US Honey Production na from Jessica Li project for Kaggle. Di data na from di United States Department of Agriculture.
🍄 Di data for mushrooms na from Kaggle wey Hatteras Dunton revise. Dis dataset get description of samples wey dey correspond to 23 species of gilled mushrooms for di Agaricus and Lepiota Family. Di mushroom na from The Audubon Society Field Guide to North American Mushrooms (1981). Dis dataset na donation to UCI ML 27 for 1987.
🦆 Di data for Minnesota Birds na from Kaggle wey dem scrape from Wikipedia by Hannah Collins.
All di datasets get license as CC0: Creative Commons.
Disclaimer:
Dis dokyument don use AI translet service Co-op Translator do di translet. Even as we dey try make am correct, abeg make you sabi say AI translet fit get mistake or no dey accurate well. Di original dokyument wey dey for im native language na di one wey you go take as di correct source. For important mata, e good make you use professional human translet. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because you use dis translet.