🍃 Stem-Leaf Plot - An intelligent visualization!
It's a simple and effective way to visualize and compare datasets.
Give it a try next time you need to compare datasets!
✍🏽 Have you used stem-leaf plots before?
It's a simple and effective way to visualize and compare datasets.
📊 Imagine we have two datasets: Set 1 (7, 12, 14, 17, 19, 23, 25) and Set 2 (3, 11, 16, 18, 20, 21, 24). We'll use a stem-leaf plot to compare them.
🌿 First, let's create the 'stem' which represents the tens place (0, 1, 2) and the 'leaf' represents the ones place (0-9).
🔍 By comparing the plots, we can see that Dataset 1 has higher values in the tens place, while Dataset 2 has a more uniform distribution.
🎯 Stem-leaf plots are great for small datasets and provide a clear picture of data distribution. The special thing about a stem-and-leaf diagram is that the original data can be read out of the graphical representation.
Give it a try next time you need to compare datasets!
✍🏽 Have you used stem-leaf plots before?
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Here's the link to the #GitHub repo and documentation:
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Here's the link to the #GitHub repo and documentation:
https://pivottable.js.org/examples/
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Forwarded from Python | Machine Learning | Coding | R
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This channels is for Programmers, Coders, Software Engineers.
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Read: https://realpython.com/polars-lazyframe/
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10 Python One-Liners That Will Boost Your Data Preparation Workflow
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