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This is a small project using a classic body composition dataset of 252 men from kaggle (https://www.kaggle.com/datasets/fedesoriano/body-fat-prediction-dataset) . The goal was to explore the relationships between various body measurements (like age, chest size, and weight) and body fat percentage.
Using Python and Power BI, I created:
💡 One interesting insight: Body density and body fat are strongly (and inversely) related — as density increases, body fat decreases, and vice versa.
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Hi there,
Nice work, I did the scatter plot almost dynamic except the correlation function I've try with VAR but no success, how to you did the dynamic strength os association
one trick I did I created correlation matrix in excel (also this one I could not create on the fly.
Also the anomally formating?
Thanks,
Thankd
I figure it out by unpivot the bodyfat table Thanks again