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Materials and IPython notebooks for "Python for Data Analysis, 3rd Edition" by Wes McKinney, published by O'Reilly Media. Book content including updates and errata fixes can be found for free on my website .
This repository contains code for Exploratory Data Analysis (EDA) of the Premier League 2022-23 season data. The code is written in Python and utilizes popular libraries such as pandas, numpy, matplotlib and, seaborn for data manipulation, analysis, and visualization..
Jan 23, 2022 · The code examples are MIT-licensed and can be found on GitHub or Gitee along with the supporting datasets. If you find the online edition of the book useful, please consider ordering a paper copy or a DRM-free eBook (in PDF and EPUB formats) to support the author.
Jan 17, 2024 · Learn how you can use Python for data analysis. Before you start, you should familiarize yourself with Jupyter Notebook, a popular tool for data analysis. Alternatively, JupyterLab will give you an enhanced notebook experience. You might also like to learn how a pandas DataFrame stores its data.
In this Skill Path, you will learn to analyze data statistically in Python and communicate your findings with meaningful data visualizations. Along the way, you will apply these skills to real-world cases and build your data portfolio.
Oct 27, 2022 · Published Oct 27, 2022. + Follow. Table of Contents. Introduction. Data wrangling. Exploration and Visualization. Conclusion. Limitation. Glossary. Introduction. In this section of the report,...
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An online course open to everyone at the University of Helsinki that teaches data analysis with Python. The course gives an overview of the different phases of the data analysis pipeline using Python.