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The Data Wrangling Workshop - Second Edition

You're reading from  The Data Wrangling Workshop - Second Edition

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781839215001
Pages 576 pages
Edition 2nd Edition
Languages
Authors (3):
Brian Lipp Brian Lipp
Profile icon Brian Lipp
Shubhadeep Roychowdhury Shubhadeep Roychowdhury
Profile icon Shubhadeep Roychowdhury
Dr. Tirthajyoti Sarkar Dr. Tirthajyoti Sarkar
Profile icon Dr. Tirthajyoti Sarkar
View More author details

Table of Contents (11) Chapters

Preface
1. Introduction to Data Wrangling with Python 2. Advanced Operations on Built-In Data Structures 3. Introduction to NumPy, Pandas, and Matplotlib 4. A Deep Dive into Data Wrangling with Python 5. Getting Comfortable with Different Kinds of Data Sources 6. Learning the Hidden Secrets of Data Wrangling 7. Advanced Web Scraping and Data Gathering 8. RDBMS and SQL 9. Applications in Business Use Cases and Conclusion of the Course Appendix

The Definition of Statistical Measures – Central Tendency and Spread

A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data. They are also categorized as summary statistics:

  • Mean: The mean is the sum of all values divided by the total number of values.
  • Median: The median is the middle value. It is the value that splits the dataset in half. To find the median, order your data from smallest to largest, and then find the data point that has an equal amount of values above and below it.
  • Mode: The mode is the value that occurs the most frequently in your dataset. On a bar chart, the mode is the highest bar.

Generally, the mean is a better measure to use for symmetric data while the median is a better measure for data with a skewed (left- or right-heavy) distribution. For categorical data, you have to use the mode:

Figure 3.22: A screenshot of a...

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