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Python: Data Analytics and Visualization
book

Python: Data Analytics and Visualization

by Phuong Vo.T.H, Martin Czygan, Ashish Kumar, Kirthi Raman
March 2017
Beginner to intermediate
866 pages
18h 4m
English
Packt Publishing
Content preview from Python: Data Analytics and Visualization

Chapter 5. Financial and Statistical Models

Financial and economic models primarily help in the simplification and abstraction of data and make extensive use of probability and statistics. It's always important to take a look at the data; the first step in data analysis should be plotting the data. Problems such as bad data, outliers, and missing data can often be detected by visualizing data. Bad data should be corrected whenever possible or otherwise discarded. However, in some unusual cases, such as in a stock market, outliers are good data and should be retained. To summarize, it is important to detect the bad data and outliers and to understand them so that appropriate action can be taken. The choice of data variables plays an important role ...

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Publisher Resources

ISBN: 9781788290098Supplemental ContentPurchase Link