You're reading from Python Data Cleaning Cookbook Modern techniques and Python tools to detect and remove dirty data and extract key insights

Product type Paperback

Published in Dec 2020

Publisher Packt

ISBN-13 9781800565661

Length 436 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Authors (2):

Michael B Walker

Michael Walker

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Table of Contents (12) Chapters

Preface

1. Chapter 1: Anticipating Data Cleaning Issues when Importing Tabular Data into pandas

2. Chapter 2: Anticipating Data Cleaning Issues when Importing HTML and JSON into pandas FREE CHAPTER

3. Chapter 3: Taking the Measure of Your Data

4. Chapter 4: Identifying Missing Values and Outliers in Subsets of Data

5. Chapter 5: Using Visualizations for the Identification of Unexpected Values

6. Chapter 6: Cleaning and Exploring Data with Series Operations

7. Chapter 7: Fixing Messy Data when Aggregating

8. Chapter 8: Addressing Data Issues When Combining DataFrames

9. Chapter 9: Tidying and Reshaping Data

10. Chapter 10: User-Defined Functions and Classes to Automate Data Cleaning

11. Other Books You May Enjoy

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Using line plots to examine trends in continuous variables

A typical way to visualize values for a continuous variable over regular intervals of time is through a line plot, though sometimes bar charts are used for small numbers of intervals. We will use line plots in this recipe to display variable trends, and examine sudden deviations in trends and differences in values over time by groups.

Getting ready

We will work with daily Covid case data in this recipe. In previous recipes, we have used totals by country. The daily data provides us with the number of new cases and new deaths each day by country, in addition to the same demographic variables we used in other recipes. You will need Matplotlib installed to run the code in this recipe.

How to do it…

We use line plots to visualize trends in daily coronavirus cases and deaths. We create line plots by region, and stacked plots to get a better sense of how much one country can drive the number of cases for a whole...