Several of the activities in this chapter will take quite some time, so as you follow along with the demonstrations, be prepared to do something else while you wait for certain processes to complete.
- Preface
- Programming with Data
- Introduction to Programming in Python
- Reading, Exploring, and Modifying Data - Part I
- External resources
- Logistical overview
- Introducing a basic data wrangling work flow
- Introducing the JSON file format
- Opening and closing a file in Python using file I/O
- Reading the contents of a file
- Exploring the contents of a data file
- Modifying a dataset
- Outputting the modified data to a new file
- Specifying input and output file names in the Terminal
- Summary
- Reading, Exploring, and Modifying Data - Part II
- Logistical overview
- Understanding the CSV format
- Introducing the CSV module
- Using the CSV module to read CSV data
- Using the CSV module to write CSV data
- Using the pandas module to read and process data
- Handling non-standard CSV encoding and dialect
- Understanding XML
- Using the XML module to parse XML data
- Summary
- Manipulating Text Data - An Introduction to Regular Expressions
- Logistical overview
- Understanding the need for pattern recognition
- Introducting regular expressions
- Writing and using a regular expression
- Special characters
- Matching whitespace
- Matching the start of string
- Matching the end of a string
- Matching a range of characters
- Matching any one of several patterns
- Matching a sequence instead of just one character
- Putting patterns together
- Extracting a pattern from a string
- The regex split() function
- Python regex documentation
- Looking for patterns
- Quantifying the existence of patterns
- Extracting patterns
- Summary
- Cleaning Numerical Data - An Introduction to R and RStudio
- Simplifying Data Manipulation with dplyr
- Getting Data from the Web
- Working with Large Datasets
Planning out your time
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