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Practical Data Analysis Using Jupyter Notebook

You're reading from   Practical Data Analysis Using Jupyter Notebook Learn how to speak the language of data by extracting useful and actionable insights using Python

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781838826031
Length 322 pages
Edition 1st Edition
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Author (1):
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Marc Wintjen Marc Wintjen
Author Profile Icon Marc Wintjen
Marc Wintjen
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Data Analysis Essentials
2. Fundamentals of Data Analysis FREE CHAPTER 3. Overview of Python and Installing Jupyter Notebook 4. Getting Started with NumPy 5. Creating Your First pandas DataFrame 6. Gathering and Loading Data in Python 7. Section 2: Solutions for Data Discovery
8. Visualizing and Working with Time Series Data 9. Exploring, Cleaning, Refining, and Blending Datasets 10. Understanding Joins, Relationships, and Aggregates 11. Plotting, Visualization, and Storytelling 12. Section 3: Working with Unstructured Big Data
13. Exploring Text Data and Unstructured Data 14. Practical Sentiment Analysis 15. Bringing It All Together 16. Works Cited
17. Other Books You May Enjoy

Summary statistics and outliers

We touched on the necessity of fundamental statistics when working with data in Chapter 5, Gathering and Loading Data in Python.Let's walk through the differences between mean, median, and mode in statistics as it applies to data analysis. The mean or average is when you sum the values of numeric values in a series divided by the count of those same numbers. The mean or average is a measure in analytics and is typically used to gauge performance over a period of time and define a comparison for each period of time.

For example, you see average daily temperatures all the time in the news—how is that calculated? Depending on your geographic location, the weather will have the temperature recorded in specific increments, such as hours. The National Oceanic and Atmospheric Administration (NOAA), for example, uses stations and a scientific approach to calculate the minimum and maximum temperature values for each day and location...

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