You're reading from Hands-On Data Analysis with Pandas - Second Edition

Product typeBook

Published inApr 2021

Reading LevelIntermediate

PublisherPackt

ISBN-139781800563452

Edition2nd Edition

Languages

Python

Tools

Pandas

Concepts

Databases

Author (1)

Stefanie Molin

Section 2: Using Pandas for Data Analysis

Now that we have some exposure to the pandas library, understand what data analysis entails, and know various ways to collect data, we will focus on the skills we need to perform data wrangling and exploratory data analysis. This section will give us the tools we need to manipulate, reshape, summarize, aggregate, and visualize data in Python.

This section comprises the following chapters:

Chapter 3, Data Wrangling with Pandas
Chapter 4, Aggregating Pandas DataFrames
Chapter 5, Visualizing Data with Pandas and Matplotlib
Chapter 6, Plotting with Seaborn and Customization Techniques

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Author (1)

Stefanie Molin

Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Read more about Stefanie Molin

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