November 2016
Intermediate to advanced
697 pages
14h 44m
English
Content preview from Julia: High Performance Programming
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Using Gadfly on data
Let's apply
Gadfly to visualize the histogram we made in the Using DataFrames section of Chapter 8, I/O, Networking, and Parallel Computing, when examining the quality of wine samples:
# see code in Chapter 8\DataFrames.jl:
using Gadfly
p = plot(df_quality, x="qual", y="no",
Geom.bar(),Guide.title("Class distributions (\"quality\")"))
draw(PNG(14cm,10cm),p)This produces the following output:
Here is an example to explore medical data: medical.csv is a file that contains the following columns: IX, Sex, Age, sBP, dBP, Drink, and BMI (IX is a number for each data line, sBP and dBP are systolic and diastolic blood pressure, Drink ...
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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.