Principles of data wrangling : practical techniques for data preparation / Tye Rattenbury, Joseph M. Hellerstein, Jeffrey Heer, Sean Kandel, Connor Carreras.
Publisher: Beijing : O'Reilly, 2017Description: viii, 82 pages ; 24 cmContent type:- text
- unmediated
- volume
- 9781491938928 :
| Item type | Home library | Class number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| 2 week loan | Hockney Library Main Floor | 006.312/RAT (Browse shelf(Opens below)) | Available | 7412465232 | ||
| 2 week loan | Hockney Library Main Floor | 006.312/RAT (Browse shelf(Opens below)) | Available | 7412465224 |
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| 006.312/MAU Data analytics made easy use machine learning and data storytelling | 006.312/MAU Data analytics made easy use machine learning and data storytelling | 006.312/RAT Principles of data wrangling : practical techniques for data preparation / | 006.312/RAT Principles of data wrangling : practical techniques for data preparation / | 006.312/RUN Data analytics : | 006.312/RUN Data analytics : | 006.312/RUN Data analytics : |
Formerly CIP.
A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This book provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking: 'what are you trying to do and why?"
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