Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a busines
Data Analysis with Open Source Tools
β Scribed by Philipp K. Janert
- Publisher
- O'Reilly Media
- Year
- 2010
- Tongue
- English
- Leaves
- 533
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. Author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data. Janert covers univariate data, data in multiple dimensions, time series data, graphical techniques, data mining, machine learning, and many other topics. He also reveals how seat-of-the-pants knowledge can lead you to the best approach right from the start, and how to assess results to determine if they're meaningful.
β¦ Subjects
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