Difference between revisions of "Visualizing process data"

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[http://www.r-fiddle.org/#/fiddle?id=19PyJkpa&version=1 Run this code in a web-browser]
[http://www.r-fiddle.org/#/fiddle?id=19PyJkpa&version=1 Run this code in a web-browser]


<syntaxhighlight lang="rsplus">
<html><div data-datacamp-exercise data-lang="r">
<code data-type="sample-code">
 
# Run this code line-by-line (copy & paste) to understand the demonstration
# Run this code line-by-line (copy & paste) to understand the demonstration
 
f <- 'http://openmv.net/file/raw-material-properties.csv'
data <- read.csv('http://openmv.net/file/raw-material-properties.csv')
data <- read.csv(f)
summary(data)
summary(data)


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# Superimpose them?
# Superimpose them?
plot(data$density1, type='b', col="blue")
plot(data$density1, type='b', col="blue")
lines(data$density2, type='b', col="red")  # where's density2 ?
 
# Where's density2 ?
lines(data$density2, type='b', col="red")   


# Superimpose them: limits
# Superimpose them: limits
plot(data$density1, type='b', col="blue", ylim=c(10, 45))
plot(data$density1,  
lines(data$density2, type='b', col="red") # now density2 shows up
    type='b',  
</syntaxhighlight>
    col="blue",  
    ylim=c(10, 45))
 
# Now density2 shows up
lines(data$density2,  
      type='b',  
      col="red")  
 
</code>
</div></html>

Latest revision as of 19:11, 14 January 2019

Learning outcomes

  • Understand when it is appropriate to use scatter plots, bar plots, pie charts (hint: almost never), and even tables.
  • Learn an interesting, potentially new plot: the box plot, to summarize and compare data.
  • How to effectively visualize up to 5 dimensions on a 2-D plot, as shown in a video by Hans Rosling.
  • Know the meaning of words like sparklines, data density, and chart junk.

Resources

Extended readings

Class videos from prior years

Videos from 2015

07:31 | Download video | Download captions | Script
03:16 | Download video | Download captions | Script
04:51 | Download video | Download captions | Script
07:23 | Download video | Download captions | Script

Videos from 2014

Videos from 2013

Software codes for this section

Code to show how to superimpose plots

Run this code in a web-browser

# Run this code line-by-line (copy & paste) to understand the demonstration f <- 'http://openmv.net/file/raw-material-properties.csv' data <- read.csv(f) summary(data) # Single plot plot(data$density1) # Connect the dots plot(data$density1, type='b') # Another variable plot(data$density2, type='b', col="red") # Superimpose them? plot(data$density1, type='b', col="blue") # Where's density2 ? lines(data$density2, type='b', col="red") # Superimpose them: limits plot(data$density1, type='b', col="blue", ylim=c(10, 45)) # Now density2 shows up lines(data$density2, type='b', col="red")