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Getting Started with Haskell Data Analysis

You're reading from   Getting Started with Haskell Data Analysis Put your data analysis techniques to work and generate publication-ready visualizations

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789802863
Length 160 pages
Edition 1st Edition
Languages
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Author (1):
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James Church James Church
Author Profile Icon James Church
James Church
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Creating compelling visualizations using EasyPlot

For this section, I would like to propose a question. As we get older, do our perceptions of movies increase with approval, decrease with approval, or stay about the same? In other words, what we are trying to figure out is: as we get older, do we appreciate movies more and rate them higher, do we appreciate movies less and rate them lower, or do they stay about the same? What we would like to do is pull together the data in this section, plot it, and see if we can answer that question. So, in this section, we're going to perform a table join to study age and the average movie rating. We're going to be parsing that information into a useable type for plotting, and then we're going to plot. Let's go back to our MovieLens IHaskell notebook and import Graphics.EasyPlot, it's a plotting library. This is shown...

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