In this part of the book, in the second phase of our toolchain (see Figure III-1) we take the Nobel Prize dataset we just scraped with Scrapy in Chapter 6 and first clean it up, then explore it for interesting nuggets. The principal tools we’ll be using are the large Python libraries Matplotlib and Pandas.
Pandas will be introduced in the next couple of chapters, along with its building block, NumPy. In Chapter 9 we’ll use Pandas to clean the Nobel dataset. Then in Chapter 11, in conjunction with Python’s plotting library Matplotlib, we’ll use it to explore it.
In Part IV we’ll see how to deliver the freshly cleaned Nobel Prize dataset to the browser, using Python’s Flask web server.
Figure III-1. Our dataviz toolchain: cleaning and exploring the data
Become 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, and much more.
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.
Head of Cybersecurity
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.
Field Engineer
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.
Data Platform Tech Lead
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.
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.
