Book Image

Practical Data Wrangling

By : Allan Visochek
Book Image

Practical Data Wrangling

By: Allan Visochek

Overview of this book

Around 80% of time in data analysis is spent on cleaning and preparing data for analysis. This is, however, an important task, and is a prerequisite to the rest of the data analysis workflow, including visualization, analysis and reporting. Python and R are considered a popular choice of tool for data analysis, and have packages that can be best used to manipulate different kinds of data, as per your requirements. This book will show you the different data wrangling techniques, and how you can leverage the power of Python and R packages to implement them. You’ll start by understanding the data wrangling process and get a solid foundation to work with different types of data. You’ll work with different data structures and acquire and parse data from various locations. You’ll also see how to reshape the layout of data and manipulate, summarize, and join data sets. Finally, we conclude with a quick primer on accessing and processing data from databases, conducting data exploration, and storing and retrieving data quickly using databases. The book includes practical examples on each of these points using simple and real-world data sets to give you an easier understanding. By the end of the book, you’ll have a thorough understanding of all the data wrangling concepts and how to implement them in the best possible way.
Table of Contents (16 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Using the CSV module to write CSV data


In this next demonstration, you will read the output data from the previous chapter and convert it to CSV format.

To start off with, I will create a file called json_to_csv.py which will make use of both the csv module and the json module. In the json_to_csv.py file, I will start by importing both the csv module and the json module and reading the JSON data from the scf_extract.json file into a Python list:

import csv
import json

## read in the input json data
fin = open("../data/input_data/scf_extract.json","r")
json_data = json.load(fin)
fin.close()

Writing CSV data using the csv module is a bit like reading data with the CSV module in reverse. When opening a file with write permission, you can use the corresponding file object to create a writer object. This is done using the csv.writer() function. The writerow() function of the writer object will take an array of values and write it to a row in the output file. 

Recall that the extracted data entries...