December 2016
Beginner
388 pages
8h 35m
English
Content preview from Principles of Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
The type of data that you are working with is a very large piece of data science. It must precede most of your analysis because the type of data you have impacts the type of analysis that is even possible!
Whenever you are faced with a new dataset, the first three questions you should ask about it are the following:
- Is the data organized or unorganized?
For example, does our data exist in a nice, clean row/column structure?
- Is each column quantitative or qualitative?
For example, are the values numbers, strings, or do they represent quantities?
- At what level of data is each column?
For example, are the values at the nominal, ordinal, interval, or ratio level?
The answers to these questions will not only impact your knowledge of the data at the ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.