Enhanced Exploratory Data Analysis (EDA) Function with Improved Plot Titles, Labels, and Color Palettes #92
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This is good. I will analyse and merge it soon. Sorry for the delays |
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Hello mentors, PAs.
I've made several improvements to the plots:
Updated the main title for histogram plots to provide a more descriptive overview: plt.suptitle('Distributions of Numeric Columns').
Adjusted the titles for count plots to include the names of the respective categorical columns: plt.title(f'Count of {col}').
Added labels for the y-axis of pie charts to enhance readability: plt.ylabel('').
In addition to these enhancements, I've refined the color palettes for better visualization:
Implemented the viridis palette for count plots to improve visualization: palette='viridis'.
Utilized the Set2 palette for box plots to enhance the distinction between outliers: palette='Set2'.
Applied the Set3 palette for pie charts to make them visually appealing: colors=sns.color_palette('Set3').
These changes should improve the clarity and aesthetics of the plots, enhancing their effectiveness in conveying information. Let me know if there's anything else you'd like to adjust!
Here are few secreenshots-