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Data Analysis With Python
Load, Clean, Reshape and Summarize Real Datasets with Tables, Grouping, Merges and Charts
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Someone hands you a messy file and says, "e;Can you just do it in Python?"e; This book shows you how, step by step. Using one small online shop as a running example, you learn to load files with the right options, fix text, number and date columns, and decide what to do about missing, duplicate and suspicious values. You then summarize with grouping and pivot tables, reshape tables between long and wide forms, merge several files without silently losing or multiplying rows, work with dates and monthly trends, and turn the result into clear charts. Every chapter ends with checks that keep your totals honest, and the final chapters bring everything together in a repeatable routine from raw files to a finished report, with a quick reference for your desk.
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