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Exploratory Data Analysis with Python Cookbook

You're reading from   Exploratory Data Analysis with Python Cookbook Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781803231105
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Ayodele Oluleye Ayodele Oluleye
Author Profile Icon Ayodele Oluleye
Ayodele Oluleye
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Generating Summary Statistics 2. Chapter 2: Preparing Data for EDA FREE CHAPTER 3. Chapter 3: Visualizing Data in Python 4. Chapter 4: Performing Univariate Analysis in Python 5. Chapter 5: Performing Bivariate Analysis in Python 6. Chapter 6: Performing Multivariate Analysis in Python 7. Chapter 7: Analyzing Time Series Data in Python 8. Chapter 8: Analysing Text Data in Python 9. Chapter 9: Dealing with Outliers and Missing Values 10. Chapter 10: Performing Automated Exploratory Data Analysis in Python 11. Index 12. Other Books You May Enjoy

Identifying the mode of a dataset

The mode is the value that occurs most frequently in the dataset, or simply put, the most common value in a dataset. Unlike the mean and median, which must be applied to numeric values, the mode can be applied to both numeric and non-numeric values since the focus is on the frequency at which a value occurs. The mode provides quick insights into the most common value. It is a very useful statistic, especially when used alongside the mean and median of a dataset.

To analyze the mode of a dataset, we will use the mode method from the stats module in the scipy library in Python.

Getting ready

We will work with the COVID-19 cases again for this recipe.

How to do it…

We will explore how to compute the mode using the scipy library:

  1. Import pandas and import the stats module from the scipy library:
    import pandas as pd
    from scipy import stats
  2. Load the .csv into a dataframe using read_csv. Then subset the dataframe to include...
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