Data Wrangling, Concepts, Applications and Tools, Wiley, John Wiley & Sons,Civil engineering, surveying and building,Technology, Engineering, Agriculture, Industrial processes, Raw Data Stage Actions; Data Workflow Framework; Acquiring and Storing Data; Advanced Web Scraping Screen Scrapers and Spiders; APIs; Automation and Scaling; Data Clean up Investigation; Matching; and Formatting; Data Clean up Standardizing and Scripting; Data Exploration and Analysis; Data Meant to Be Read by Machines; Data Structure Basics; Data Wrangling Tools; Dealing with Character Strings; Dealing with Dates; Dealing with Factors; Dealing with Missing Values; Dealing with Numbers; Dealing with Regular Expressions;Exporting Data; Functions; Importing Data; Introduction to Python; Loop Control Statements; Managing Data Frames; Managing Lists; Managing Matrices; Managing Vectors; PDFs and Problem Solving in Python; Presenting Your Data; Profiling; Python Basics; Reshaping Your Data with tidyr; Roles and Responsibilities; Scraping Data; Simplify Your Code with; The Basics; The Dynamics of Data Wrangling; Transformation Enriching; Transformation Structuring; Transforming Your Data with dplyr; Using Transformation to Clean Data; Web Scraping Acquiring and Storing Data from the Web; Working with Excel Files; Data Frames; Additional Aspects: Subsetting and Sampling; Ingesting Data; Describing Data; Assessing Data Utility; Ad Hoc Reporting,, , United States, en-UShttps://www.wiley.comRaw Data Stage Actions; Data Workflow Framework; Acquiring and Storing Data; Advanced Web Scraping Screen Scrapers and Spiders; APIs; Automation and Scaling; Data Clean up Investigation; Matching; and Formatting; Data Clean up Standardizing and Scripting; Data Exploration and Analysis; Data Meant to Be Read by Machines; Data Structure Basics; Data Wrangling Tools; Dealing with Character Strings; Dealing with Dates; Dealing with Factors; Dealing with Missing Values; Dealing with Numbers; Dealing with Regular Expressions;Exporting Data; Functions; Importing Data; Introduction to Python; Loop Control Statements; Managing Data Frames; Managing Lists; Managing Matrices; Managing Vectors; PDFs and Problem Solving in Python; Presenting Your Data; Profiling; Python Basics; Reshaping Your Data with tidyr; Roles and Responsibilities; Scraping Data; Simplify Your Code with; The Basics; The Dynamics of Data Wrangling; Transformation Enriching; Transformation Structuring; Transforming Your Data with dplyr; Using Transformation to Clean Data; Web Scraping Acquiring and Storing Data from the Web; Working with Excel Files; Data Frames; Additional Aspects: Subsetting and Sampling; Ingesting Data; Describing Data; Assessing Data Utility; Ad Hoc Reporting, [BLURB],[CITY],,books, ebooks, biblet, Book2look