You're reading from The Data Analysis Workshop

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781839211386

Edition1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Science

Authors (3):

Gururajan Govindan

Shubhangi Hora

Konstantin Palagachev

View More author details

Summary

We have reached the end of this chapter and have successfully analyzed the amount of energy consumed by household appliances based on temperature, humidity, and other external weather conditions. We applied several data analysis techniques, including feature engineering and designing boxplots for specific features, to gain a better understanding of the information that the data contains. Additionally, we also plotted distributions of skewed data to observe them better.

In the next chapter, we will come to the end of our data analysis journey by applying our techniques to one last dataset. We will be analyzing and assessing the air quality of multiple localities in Beijing, China. Be ready to apply all your data analysis knowledge gained so far on this last dataset.

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The Data Analysis Workshop

Published in: Jul 2020Publisher: PacktISBN-13: 9781839211386

Authors (3)

Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.
Read more about Gururajan Govindan

Shubhangi Hora

Shubhangi Hora is a data scientist, Python developer, and published writer. With a background in computer science and psychology, she is particularly passionate about healthcare-related AI, including mental health. Shubhangi is also a trained musician.
Read more about Shubhangi Hora

Konstantin Palagachev

Konstantin Palagachev holds a Ph.D. in applied mathematics and optimization, with an interest in operations research and data analysis. He is recognized for his passion for delivering data-driven solutions and expertise in the area of urban mobility, autonomous driving, insurance, and finance. He is also a devoted coach and mentor, dedicated to sharing his knowledge and passion for data science.
Read more about Konstantin Palagachev

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