Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
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Updated
Jun 9, 2024
Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
A simple style for matplotlib.
Matplotlib styles for scientific plotting
Project during College utilizing Python with database and matplotlib -> made on November 21, 2021
Make plotting physics easier with stylesheets and context manager helpers
Produce publication-level quality images on top of Matplotlib
standard styles for scientific figures in matplotlib
Matplotlib notes and examples
A color theme for matplotlib using the official statworx colors.
Modern & visually appealing colormaps for Matplotlib
A collection of Matplotlib plot templates.
Nord Deep stylesheets for Matplotlib
Styles from Tufte's "Visual Display Of Quantitative Information" for matplotlib
A collection of curated color profiles for matplotlib.
Courses on Data Science Fields
📈 Minimalistic Matplotlib style
Stylesheets for Matplotlib
Use Python Panda to create a summary dataframe of ride-sharing data for three different city types. Then, using Pandas and Matplotlib, create a multiple-line graph that shows the total weekly fares for each city type.
Matplotlib
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