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| Description |
English: For use with the Data Science: An Introduction Wikibook |
| Date | |
| Source | Own work |
| Author | Calvin.Andrus |
Licensing
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I, the copyright holder of this work, hereby publish it under the following license:
This file is licensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 00:13, 8 June 2012 | | 339 × 325 (88 KB) | Calvin.Andrus (talk | contribs) |
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File usage on Commons
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File usage on other wikis
The following other wikis use this file:
- Usage on en.wikibooks.org
- User:Calvin.Andrus
- Data Science: An Introduction
- Template:Data Science: An Introduction/Navigation
- Data Science: An Introduction/Definitions of Data
- Data Science: An Introduction/A History of Data Science
- Data Science: An Introduction/Prototype
- Data Science: An Introduction/A Mash-up of Disciplines
- Data Science: An Introduction/The Impact of Data Science
- Data Science: An Introduction/Thinking Like a Scientist
- Data Science: An Introduction/Thinking Like a Hacker
- Data Science: An Introduction/Thinking Like a Mathematician
- Data Science: An Introduction/Thinking Like a Statistician
- Data Science: An Introduction/Thinking Like a Data Engineer
- Data Science: An Introduction/Thinking Like a Programmer
- Data Science: An Introduction/Thinking Like a Visual Artist
- Data Science: An Introduction/250 R Commands
- Data Science: An Introduction/Non-Theory-Based Inquiry
- Data Science: An Introduction/Thinking Like a Domain Expert
- Data Science: An Introduction/Theory-Based Inquiry
- Data Science: An Introduction/Hypothesis Testing
- Data Science: An Introduction/Data Preparation and Metadata
- Data Science: An Introduction/Exploratory Analysis
- Data Science: An Introduction/Telling the Story
- Data Science: An Introduction/Single Variable Analysis
- Data Science: An Introduction/Single Variable Tables and Plots
