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Data Literacy With Python

You're reading from Data Literacy With Python A Comprehensive Guide to Understanding and Analyzing Data with Python

Product type Paperback

Published in Jul 2024

Publisher Mercury_Learning

ISBN-13 9781836640097

Length 271 pages

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Analysis

Authors (2):

Mercury Learning and Information

Oswald Campesato

View More author details

Table of Contents (9) Chapters

Preface

1. Chapter 1: Working With Data

2. Chapter 2: Outlier and Anomaly Detection FREE CHAPTER

3. Chapter 3: Cleaning Datasets

4. Chapter 4: Introduction to Statistics

5. Chapter 5: Matplotlib and Seaborn

6. Index

Appendix A: Introduction to Python

1. Appendix B: Introduction to Pandas

WORKING WITH SKIMPY

Skimpy is an open-source Python module that generates an analysis of a dataset directly from the command line: no Python code is required. Install Skimpy with the following command:

pip3 install skimpy

Launch the following command to analysis the Titanic dataset (or a dataset of your own choice) that redirects the output to a text file (the latter is optional):

skimpy titanic.csv >titanic_out.txt

Figure 5.19 displays the contents of the generated output.

FIGURE 5.19 An analysis of the Titanic dataset.

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Authors (2)

Mercury Learning and Information

Mercury Learning and Information

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.

See other products by Mercury Learning and Information

Oswald Campesato

Oswald Campesato

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

See other products by Oswald Campesato

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