April 2016
Beginner to intermediate
384 pages
8h 36m
English
Content preview from Practical Data Analysis CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Opening and transforming data with OpenRefine
OpenRefine originated as GoogleRefine. Google later open sourced the code. It is a great tool to sift through the data quickly, clean it, remove duplicate rows, analyze distributions or trends over time, and more.
In this and the following recipes, we will deal with the realEstate_trans_dirty.csv file that is located in the Data/Chapter1 folder. The file has several issues that, over the course of the following recipes, we will see how to resolve.
First, when read from a text file, OpenRefine defaults the types of data to text; we will deal with data type transformations in this recipe. Otherwise, we will not be able to use facets to explore the numerical columns. Second, there are duplicates in the ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.