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Data Analysis

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Python pandas module examples for quick reference

Creating DataFrames, selecting columns, filtering data, handling missing data, merging DataFrames, pivot tables, sorting, etc.
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Python pandas and data-analysis quick references

Creating DataFrames, selecting columns, filtering data, handling missing data, merging DataFrames, pivot tables, sorting, etc.
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Data visualization tool: seaborn-pandas module's examples for quick reference

Topics covered:
Basic: Covers loading data, filtering, and simple visualizations.
Intermediate: Covers aggregations, merging datasets, and customized plotting.
Advanced: Covers custom functions, time series analysis, and complex visualizations like heatmaps.

 
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