Walker Python Data Cleaning Cookbook

Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI
2. Auflage 2024
ISBN: 978-1-80324-629-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 486 Seiten

No detailed description available for "Python Data Cleaning Cookbook".

Autoren/Hrsg.

Walker, Michael

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse

Inhaltsverzeichnis

Table of Contents - Anticipating Data Cleaning Issues When Importing Tabular Data with pandas
- Anticipating Data Cleaning Issues When Working with HTML, JSON, and Spark Data
- Taking the Measure of Your Data
- Identifying Outliers in Subsets of Data
- Using Visualizations for the Identification of Unexpected Values
- Cleaning and Exploring Data with Series Operations
- Identifying and Fixing Missing Values
- Encoding, Transforming, and Scaling Features
- Fixing Messy Data When Aggregating
- Addressing Data Issues When Combining DataFrames
- Tidying and Reshaping Data
- Automate Data Cleaning with User-Defined Functions, Classes, and Pipelines

Über Autor(innen)

Walker Michael:

Michael Walker has worked as a data analyst for over 30 years at a variety of educational institutions. He is currently the CIO at College Unbound in Providence, Rhode Island, in the United States. He has also taught data science, research methods, statistics, and computer programming to undergraduates since 2006.