Book Image

Hands-On Data Analysis with Pandas - Second Edition

By : Stefanie Molin
5 (1)
Book Image

Hands-On Data Analysis with Pandas - Second Edition

5 (1)
By: Stefanie Molin

Overview of this book

Extracting valuable business insights is no longer a ‘nice-to-have’, but an essential skill for anyone who handles data in their enterprise. Hands-On Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time. This book will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. This updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making – valuable knowledge that can be applied across multiple domains.
Table of Contents (21 chapters)
Section 1: Getting Started with Pandas
Section 2: Using Pandas for Data Analysis
Section 3: Applications – Real-World Analyses Using Pandas
Section 4: Introduction to Machine Learning with Scikit-Learn
Section 5: Additional Resources


Using the data/parsed.csv file and the material from this chapter, complete the following exercises to practice your pandas skills:

  1. Find the 95th percentile of earthquake magnitude in Japan using the mb magnitude type.
  2. Find the percentage of earthquakes in Indonesia that were coupled with tsunamis.
  3. Calculate summary statistics for earthquakes in Nevada.
  4. Add a column indicating whether the earthquake happened in a country or US state that is on the Ring of Fire. Use Alaska, Antarctica (look for Antarctic), Bolivia, California, Canada, Chile, Costa Rica, Ecuador, Fiji, Guatemala, Indonesia, Japan, Kermadec Islands, Mexico (be careful not to select New Mexico), New Zealand, Peru, Philippines, Russia, Taiwan, Tonga, and Washington.
  5. Calculate the number of earthquakes in the Ring of Fire locations and the number outside of them.
  6. Find the tsunami count along the Ring of Fire.