Difference between revisions of "Visualizing process data"
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* How to effectively visualize up to 5 dimensions on a 2-D plot, as shown in a video by Hans Rosling. | * 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. | * Know the meaning of words like sparklines, data density, and chart junk. | ||
== Resources == | == Resources == | ||
Line 21: | Line 14: | ||
* [https://docs.google.com/document/d/1rZXJY7aybeng7H_ZngzHDsbBxn-uipvRPF6r9JdH-9g Quiz] and [https://docs.google.com/document/d/1ew6UwKP8SBM19jvdYfMxgSnRVIvUNuwnOSNlJoZ3Tg4 Solution] | * [https://docs.google.com/document/d/1rZXJY7aybeng7H_ZngzHDsbBxn-uipvRPF6r9JdH-9g Quiz] and [https://docs.google.com/document/d/1ew6UwKP8SBM19jvdYfMxgSnRVIvUNuwnOSNlJoZ3Tg4 Solution] | ||
* Complete steps 1, 2 ... 9 of the [http://learnche.mcmaster.ca/4C3/Software_tutorial software tutorial] | * Complete steps 1, 2 ... 9 of the [http://learnche.mcmaster.ca/4C3/Software_tutorial software tutorial] | ||
== Extended readings == | |||
* [http://en.wikipedia.org/wiki/Sankey_diagram Sankey diagrams] for example, would make a great way to show energy utilization in your company, or even a mass balance superimposed on a flowsheet. Here's a [http://bost.ocks.org/mike/sankey/ great example applied to the UK energy supply and demand]. | |||
* [http://www.investopedia.com/articles/financial-theory/11/lie-with-financial-statistics.asp How To Lie With Financial Statistics], Investopedia, November 2011 | |||
* [http://vita.had.co.nz/papers/boxplots.pdf 40 years of boxplots] | |||
* Why you should [http://www.perceptualedge.com/articles/08-21-07.pdf never have to use pie charts], an article by Stephen Few. | |||
* This is one video you must watch for the course: [https://www.youtube.com/watch?v=jbkSRLYSojo Hans Rosling shows an incredible data visualization] | |||
== Class videos from prior years == | == Class videos from prior years == |
Revision as of 07:36, 5 January 2016
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
- Class notes 2015
- Class notes 2014
- Textbook, chapter 1
- Quiz and Solution
- Complete steps 1, 2 ... 9 of the software tutorial
Extended readings
- Sankey diagrams for example, would make a great way to show energy utilization in your company, or even a mass balance superimposed on a flowsheet. Here's a great example applied to the UK energy supply and demand.
- How To Lie With Financial Statistics, Investopedia, November 2011
- 40 years of boxplots
- Why you should never have to use pie charts, an article by Stephen Few.
- This is one video you must watch for the course: Hans Rosling shows an incredible data visualization
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
Try this code in a web-browser
# Run this code line-by-line (copy & paste) to understand the demonstration
data <- read.csv('http://openmv.net/file/raw-material-properties.csv')
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")
lines(data$density2, type='b', col="red") # where's density2 ?
# Superimpose them: limits
plot(data$density1, type='b', col="blue", ylim=c(10, 45))
lines(data$density2, type='b', col="red") # now density2 shows up