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You're reading from  Data Wrangling with R

Product typeBook
Published inFeb 2023
PublisherPackt
ISBN-139781803235400
Edition1st Edition
Concepts
Data Mining
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Author (1)
Gustavo R Santos
Gustavo R Santos
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Gustavo R Santos

Gustavo R Santos has worked in the Technology Industry for 13 years, improving processes, and analyzing datasets and creating dashboards. Since 2020, he has been working as a Data Scientist in the retail industry, wrangling, analyzing, visualizing and modeling data with the most modern tools like R, Python and Databricks. Gustavo also gives lectures from time to time at an online school about Data Science concepts. He has a background in Marketing, is certified as Data Scientist by the Data Science Academy Brazil and pursues his specialist MBA in Data Science at the University of São Paulo
Read more about Gustavo R Santos

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The dataset

The dataset to be used in the next exercises can be found in the UCI dataset repository. It was pulled from the popular datasets tab in the repository, and it is named Adults, but it is also known as Census Income dataset (from https://archive.ics.uci.edu/ml/datasets/Adult).

The variables we will be dealing with are listed next and I also invite you to read the adult.names file provided with the dataset in the UCI repository or in the GitHub page for this chapter’s codes (https://tinyurl.com/ywpjj329).

  • Demographics: age, sex, race, marital-status, relationship status, native country.
  • Education: education level and education-num (years of study).
  • Work related: work class, occupation, hours per week.
  • Financial: capital gain and capital loss.
  • fnlwgt: This means final weight, which is a scoring calculation from the Census Bureau based on socio-economic and demographic data. People with similar demographic information should have similar weights...
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Data Wrangling with R
Published in: Feb 2023Publisher: PacktISBN-13: 9781803235400
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Gustavo R Santos

Gustavo R Santos has worked in the Technology Industry for 13 years, improving processes, and analyzing datasets and creating dashboards. Since 2020, he has been working as a Data Scientist in the retail industry, wrangling, analyzing, visualizing and modeling data with the most modern tools like R, Python and Databricks. Gustavo also gives lectures from time to time at an online school about Data Science concepts. He has a background in Marketing, is certified as Data Scientist by the Data Science Academy Brazil and pursues his specialist MBA in Data Science at the University of São Paulo
Read more about Gustavo R Santos

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