Python Data Cleaning Cookbook
portes grátis
Python Data Cleaning Cookbook
Modern techniques and Python tools to detect and remove dirty data and extract key insights
Walker, Michael
Packt Publishing Limited
12/2020
436
Mole
Inglês
9781800565661
15 a 20 dias
Descrição não disponível.
Table of Contents
Anticipating Data Cleaning Issues when Importing Tabular Data into pandas
Anticipating Data Cleaning Issues when Importing HTML and JSON into Pandas
Taking the Measure of Your Data
Identifying Issues in Subsets of Data
Using Visualizations for Exploratory Data Analysis
Cleaning and Wrangling Data with Pandas Data Series Operations
Fixing Messy Data When Aggregating
Addressing Data Issues When Combining Data Frames
Tidying and Reshaping Data
User Defined Functions and Classes to Automate Data Cleaning
Anticipating Data Cleaning Issues when Importing Tabular Data into pandas
Anticipating Data Cleaning Issues when Importing HTML and JSON into Pandas
Taking the Measure of Your Data
Identifying Issues in Subsets of Data
Using Visualizations for Exploratory Data Analysis
Cleaning and Wrangling Data with Pandas Data Series Operations
Fixing Messy Data When Aggregating
Addressing Data Issues When Combining Data Frames
Tidying and Reshaping Data
User Defined Functions and Classes to Automate Data Cleaning
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Pandas;NumPy;data processing;Data collection;Exploratory data analysis;data wrangling;python for data analysis;python cookbook;Python programming book;python coding book
Table of Contents
Anticipating Data Cleaning Issues when Importing Tabular Data into pandas
Anticipating Data Cleaning Issues when Importing HTML and JSON into Pandas
Taking the Measure of Your Data
Identifying Issues in Subsets of Data
Using Visualizations for Exploratory Data Analysis
Cleaning and Wrangling Data with Pandas Data Series Operations
Fixing Messy Data When Aggregating
Addressing Data Issues When Combining Data Frames
Tidying and Reshaping Data
User Defined Functions and Classes to Automate Data Cleaning
Anticipating Data Cleaning Issues when Importing Tabular Data into pandas
Anticipating Data Cleaning Issues when Importing HTML and JSON into Pandas
Taking the Measure of Your Data
Identifying Issues in Subsets of Data
Using Visualizations for Exploratory Data Analysis
Cleaning and Wrangling Data with Pandas Data Series Operations
Fixing Messy Data When Aggregating
Addressing Data Issues When Combining Data Frames
Tidying and Reshaping Data
User Defined Functions and Classes to Automate Data Cleaning
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
