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@ -115,6 +115,15 @@ via junkcharts.typepad.com
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---
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## How to Pick?
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- Quantitative / Quantitative:
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- Quantitative / Temporal:
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- Quantitative / Nominal:
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- Nominal / Nominal:
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---
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### Bar Charts & Histograms
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- X/Y: Nominal (Binned Numerical - Histogram)
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@ -126,8 +135,8 @@ via junkcharts.typepad.com
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### Line & Area Charts
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- X: Temporal
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- Y: Quantitative
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- X: Temporal / Quantitative
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- Y: Quantitative (means / sums)
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![bg right width:600px](lines.png)
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@ -138,7 +147,7 @@ via junkcharts.typepad.com
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![bg left width:600px](area.png)
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Combined X axis variable has meaning.
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Sum of stacked axis variable **must have meaning**.
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---
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@ -195,30 +204,58 @@ Require some data manipulation using `transform_window` or pre-computing ranks.
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### Scatter & Bubble Plots
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![](bubble.png)
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![bg left width:600px](bubble.png)
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- X / Y: Quantitative
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Bubble charts use size as a 3rd dimension.
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(Note subtle but useful transparency usage as well.)
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---
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### Small Multiples / Faceting
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![](facet.png)
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![facet](facet.png)
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![bg right](small-maps.png)
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<!-- source: https://www.juiceanalytics.com/writing/better-know-visualization-small-multiples -->
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Most useful when there is a nominal variable that charts vary on.
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Useful when there is a nominal variable being compared across two other dimensions.
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---
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### Distributions
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### Map Basics
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Two most common:
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- point maps
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- choropleths
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![bg left width:600px](london-trees.png)
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*Image: Trees in London, data.london.gov.uk*
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<!-- source: https://data.london.gov.uk/dataset/local-authority-maintained-trees#:~:text=The%20data%20does%20not%20represent,streets%2C%20private%20gardens%20and%20more. -->
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**We will revisit maps later in this course.**
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---
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## Two choropleths, same data.
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![bg width:600px](arcgis-chorolpleth.png)
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![bg width:600px](arcgis-choropleth2.png)
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<!-- source: https://carto.maps.arcgis.com/apps/webappviewer/index.html?id=7475c5788efe4c75a9642f552f61d568 -->
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Unit of measurement is incredibly important.
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Consider alternatives if district/population sizes vary significantly.
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---
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## When & How to Break the Rules
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@ -284,6 +321,8 @@ You work at CERN.
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![bg right width:700px](lhc.png)
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(Image: CERN Large Hadron Collider)
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---
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## Acknowledgements & References
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