O'Reilly logo

Practical Data Science Cookbook by Abhijit Dasgupta, Benjamin Bengfort, Sean Patrick Murphy, Tony Ojeda

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 6. Creating Application-oriented Analyses Using Tax Data (Python)

In this chapter, we will cover:

  • Preparing for the analysis of top incomes
  • Importing and exploring the world's top incomes dataset
  • Analyzing and visualizing the top income data of the US
  • Furthering the analysis of the top income groups of the US
  • Reporting with Jinja2

Introduction

So far in the book, we've taken a practical approach to data analysis with R. With relative ease, we've been able to answer questions about particular datasets, produce models, and export visualizations. For this reason, R is an excellent choice for rapid prototyping and analytics; it is a domain-specific language designed for statistical data analysis, and it does its job well.

In the next half of the book, ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required