- Practical Data Analysis
- Hector Cuesta
- 83字
- 2021-07-23 15:59:30
Chapter 2. Working with Data
Building real world's data analytics requires accurate data. In this chapter we discuss how to obtain, clean, normalize, and transform raw data into a standard format such as Comma-Separated Values (CSV) or JavaScript Object Notation (JSON) using OpenRefine.
In this chapter we will cover:
- Datasource
- Open data
- Text files
- Excel files
- SQL databases
- NoSQL databases
- Multimedia
- Web scraping
- Data scrubbing
- Statistical methods
- Text parsing
- Data transformation
- Data formats
- CSV
- JSON
- XML
- YAML
- Getting started with OpenRefine
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