December 2018
Beginner to intermediate
682 pages
18h 1m
English
Content preview from Numerical Computing with Python
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Visualizing Multivariate Data
When we have big data that contains many variables, the plot types in Chapter 7, Visualizing Online Data may no longer be an effective way of data visualization. We may try to cramp as many variables in a single plot as possible, but the overcrowded or cluttered details would quickly reach the boundary of a human's visual perception capabilities.
In this chapter, we aim to introduce multivariate data visualization techniques; they enable us to better understand the distribution of data and the relationships between variables. Here is the outline of this chapter:
- Getting End-of-Day (EOD) stock data from Quandl
- Two-dimensional faceted plots:
- Factor plot in Seaborn
- Faceted grid in Seaborn
- Pair plot in Seaborn ...
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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.