Python Data Cleaning Cookbook Modern Techniques and Python Tools to Detect and Remove Dirty Data and Extract Key Insights.

The book shows you how to view data from multiple perspectives, including data frame and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations. You will learn to manipulate data and get them down to a form that can be us...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Walker, Michael
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2020.
Temas:
Analysis of variance.
Database management.
Data mining.
Python (Computer program language)
Analysis of Variance
Data Mining
Analyse de variance.
Bases de données > Gestion.
Exploration de données (Informatique)
Python (Langage de programmation)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:The book shows you how to view data from multiple perspectives, including data frame and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations. You will learn to manipulate data and get them down to a form that can be useful for making the right decisions.
Notas:Description based upon print version of record.
Descripción Física:1 online resource (437 p.)
ISBN:1800564597
9781800564596

Ejemplares similares