Creating Good Data : A Guide to Dataset Structure and Data Representation /: A Guide to Dataset Structure and Data Representation. (2020)

• Record Type: Book
• Further Information: Note: Harry J. Foxwell.
• Authors: Foxwell, Harry J
• Contents: Introduction Goal: The problem of dataset cleaning and why better design is needed Who this book is for Chapter 1: Basic Data Types Goal: understanding data types Nominal, ordinal, interval, ratio, other How/why to choose specific representations Chapter 2: Planning Your Data Collection Goal: preventive action, avoiding data creation errors Anticipating your required analysis The goals of descriptive statistics and visualizations The goals of relationship statistics and visualizations Independent and dependent variables Chapter 3: Dataset Structures Goal: Understanding how to structure/store data Types of datasets .csv, SQL, Excel, Web, JSON, Sharing data (open formats) Managing datasets Chapter 4: Data Collection Issues Goal: Understanding how to collect data Understand and avoid Bias Sampling Chapter 5: Examples and Use Cases Goal: Illustrate good & not so good datasets Chapter 6: Tools for Dataset Cleaning Goal: still need some data cleanup? here's some help Data cleaning using R, Python, commercial tools (e.g., Tableau) Annotated References Goal: include helpful data design and cleaning references.
• Publisher Details: Berkeley, CA : Apress
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (105 pages)
• Subjects: Computer science; Big data; Computers -- Database Management -- General; Databases
• Languages: English
• ISBNs: 9781484261033
• Related ISBNs: 9781484261026
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.