November 2023
Intermediate to advanced
320 pages
4h 37m
English
Content preview from Data Literacy with PythonBecome 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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CHAPTER 1
WORKING WITH DATA
This chapter shows you how to analyze data types that you will encounter in datasets, such as currency and dates, as well as scaling data values in order to ensure that a dataset has “clean” data.
The first part of this chapter briefly discusses some aspects of EDA (exploratory data analysis), such as data quality, data-centric AI versus model-centric AI, as well as some of the steps involved in data cleaning and data wrangling. You will also see an EDA code sample involving the Titanic dataset.
The second part of this chapter describes common types of data, such as binary, nominal, ordinal, and categorical data. In addition, you will learn about continuous versus discrete data, quantitative and quantitative data, ...
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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.