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You're reading from  Data Ingestion with Python Cookbook

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837632602
Edition1st Edition
Concepts
Data Engineering
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Author (1)
Gláucia Esppenchutz
Gláucia Esppenchutz
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Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.
Read more about Gláucia Esppenchutz

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Reading a CSV file

A CSV file is a plain text file where commas separate each data point, and each line represents a new record. It is widely used in many areas, such as finance, marketing, and sales, to store data. Software such as Microsoft Excel and LibreOffice, and even online solutions such as Google Spreadsheets, provide reading and writing operations for this file. Visually it resembles a structured table, which greatly enhances the file’s usability.

Getting ready

You can download the CSV dataset for this from Kaggle. Use this link to download the file: https://www.kaggle.com/datasets/jfreyberg/spotify-chart-data. We are going to use the same Spotify dataset as in Chapter 2.

Note

Since Kaggle is a dynamic platform, the filename might change occasionally. After downloading it, I named the file spotify_data.csv.

For this recipe, we will use only Python and Jupyter Notebook to execute the code and create a more friendly visualization.

How to do it...

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Data Ingestion with Python Cookbook
Published in: May 2023Publisher: PacktISBN-13: 9781837632602
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.
Read more about Gláucia Esppenchutz

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