Book Image

The Pandas Workshop

By : Blaine Bateman, Saikat Basak, Thomas V. Joseph, William So
5 (1)
Book Image

The Pandas Workshop

5 (1)
By: Blaine Bateman, Saikat Basak, Thomas V. Joseph, William So

Overview of this book

The Pandas Workshop will teach you how to be more productive with data and generate real business insights to inform your decision-making. You will be guided through real-world data science problems and shown how to apply key techniques in the context of realistic examples and exercises. Engaging activities will then challenge you to apply your new skills in a way that prepares you for real data science projects. You’ll see how experienced data scientists tackle a wide range of problems using data analysis with pandas. Unlike other Python books, which focus on theory and spend too long on dry, technical explanations, this workshop is designed to quickly get you to write clean code and build your understanding through hands-on practice. As you work through this Python pandas book, you’ll tackle various real-world scenarios, such as using an air quality dataset to understand the pattern of nitrogen dioxide emissions in a city, as well as analyzing transportation data to improve bus transportation services. By the end of this data analytics book, you’ll have the knowledge, skills, and confidence you need to solve your own challenging data science problems with pandas.
Table of Contents (21 chapters)
1
Part 1 – Introduction to pandas
6
Part 2 – Working with Data
11
Part 3 – Data Modeling
15
Part 4 – Additional Use Cases for pandas

Chapter 8: Understanding Data Visualization

In the previous chapter, you were introduced to data transformation methods in pandas. In this chapter, you will learn more about data visualization in pandas and use different types of charts such as line, bar, pie, scatter, and box to perform exploratory data analysis. In this chapter, we shall also touch upon different ways you can plot these charts using the plot() function by pandas and matplotlib. We will learn the differences between these two methods and learn which one to use, depending on the desired outcome. The plots that we are going to learn about in this chapter will help us analyze our data to find out useful insights, such as the distribution of certain features over the population using histograms and finding outliers using boxplots. By the end of this chapter, you will know how to select the best chart type for your data, build it, and customize it for the purpose of your analysis.

This chapter consists of the following...