Date post: | 11-Jan-2016 |
Category: |
Documents |
Upload: | harvey-blankenship |
View: | 215 times |
Download: | 1 times |
Visualisation2012 - 2013
Lecture 3
Brian Mac NameeDublin institute of Technology
Applied Intelligence Research Centre
Visualising Trends
Origins
This course is based heavily on a course developed by Colman McMahon (www.colmanmcmahon.com)
Material from multiple other online and published sources is also used and when this is the case full citations will be given
22011/12
Visualization of the Week
www.pinterest.com/brianmacnamee/great-visualisation-examples/
(Un)Visualization of the Week
www.pinterest.com/brianmacnamee/terrible-visualisation-examples/
Agenda
Visualising patterns over time
Discrete points in time
Continuous points in time
Handling multiple dimensions over time
52011/12
What To Look For
The most common thing you look for in time series, or temporal, data is trends
- Is something increasing or decreasing?
- Are there seasonal cycles?
To find these patterns, you have to look beyond individual data points to get the whole picture
2011/12 7
Visualising Patterns Over Time
Visualising patterns over time
- Discrete points in time
• Bar Graph
• Scatter Plot
- Continuous points in time
• Line Chart
• Step Chart
- Handling multiple dimensions over time
• Stacked Bar Chart
• Area Chart
• Stream Graph
• Small Multiples
• Animation2011/12 8
Discrete Points In Time
Often we have datasets that contain single measurements for a reasonably small number of discrete points in time
- Profit per year
- Rainfall per month
In these cases a simple bar graph is often appropriate
Simple Bar Graph
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Simple Bar Graph
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Simple Bar Graph
http://www.mornpen.vic.gov.au/page/imageThumbnail.asp?C_Id=820
Continuous Points In Time
Often we have datasets that contain single measurements for a number of continuous points of time
- Stock prices over time
- Internet traffic over time
In these cases a line charts are more appropriate
Simple Scatter Plot
2011/12 14
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Simple Scatter Plot
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Simple Line Chart
Simply adding a line to a scatter plot can help greater emphasise a trend over time
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Simple Line Chart
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Simple Line Chart
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Step Chart
Basic line charts interpolate the change in measurement from one point in time to another
Often this is not appropriate and in these cases step charts are more appropriate
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Step Chart
2011/12 20
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Step Chart
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Fitting A Line
In some cases adding a line to a scatter plot can mask the trend over time rather than help illustrate it
In this cases it can be more appropriate to fit a line or curve to a dataset so as to highlight a trend in time
ACHTUNG: Be careful when fitting lines, it is possible to illustrate trends that don’t really exist
Fitting A Line
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Smoothing & Estimation
2011/12 24
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Multiple Dimensions In Time
Often we have datasets that contain multiple measurement for each point in time which gives us multiple dimensions
This makes visualization more challenging as we need to use newer and different encodings
There are a number of approaches we can take
Stacked Bar Chart
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Stacked Bar Chart
Charting U.S. Gun Manufacturing, Matt Stiles, The Daily Viz, 2012http://thedailyviz.com/2012/08/07/charting-u-s-gun-manufacturing/
Stacked Bar Chart
Interpreting multiple time series in a stacked bar chart can be really difficult, especially when we need to interpret the trend within the higher categories
Only really appropriate when the real trend we want to illustrate is the overall total bar height trend and the individual categories are secondary
Multiple Line Series
http://hci.stanford.edu/jheer/files/zoo/ex/time/index-chart.html
Multiple Line Series
Displaying time-series data: Stacked bars, area charts or lines…you decide!, VizWiz, 2012
http://vizwiz.blogspot.ie/2012/08/displaying-time-series-data-stacked.html
U.S. Gun Manufacturing By Type
Stacked Area Chart
“Visualize This”, N. Tau, Wiley, 2011
http://shop.oreilly.com/product/0636920022060.do
Stacked Area Chart
U.S. Gun Manufacturing By Type
Displaying time-series data: Stacked bars, area charts or lines…you decide!, VizWiz, 2012
http://vizwiz.blogspot.ie/2012/08/displaying-time-series-data-stacked.html
Stacked Area Chart
Stacked area charts unfortunately suffer from many of the same problems as stacked bar charts
It can be very hard to interpret the trends of each category as they are stacked on top of each other
Stacked Area Chart
Displaying time-series data: Stacked bars, area charts or lines…you decide!, VizWiz, 2012
http://vizwiz.blogspot.ie/2012/08/displaying-time-series-data-stacked.html
What does the shotgun trend look like?
Stacked Area Chart
Displaying time-series data: Stacked bars, area charts or lines…you decide!, VizWiz, 2012
http://vizwiz.blogspot.ie/2012/08/displaying-time-series-data-stacked.html
Stream Graph
The Stream Graph is an attempt to overcome the difficulties associated with stacked bar charts and stacked area charts
Stream Graph
ThemeRiver: Visualizing Theme Changes over Time, Susan Havre , Beth Hetzler , Lucy Nowell, Proc. IEEE Symposium on Information Visualization, 2000.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.4974
Stream Graph
ThemeRiver: Visualizing Theme Changes over Time, Susan Havre , Beth Hetzler , Lucy Nowell, Proc. IEEE Symposium on Information Visualization, 2000.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.4974
Stream Graph
Stacked Graphs – Geometry & Aesthetics, Lee Byron & Martin Wattenberg, 2008.http://www.leebyron.com/what/lastfm/
Stream Graph
Stacked Graphs – Geometry & Aesthetics, Lee Byron & Martin Wattenberg, 2008.http://www.leebyron.com/what/lastfm/
Stream Graph
Stacked Graphs – Geometry & Aesthetics, Lee Byron & Martin Wattenberg, 2008.http://www.leebyron.com/what/lastfm/
Stream Graph
http://hci.stanford.edu/jheer/files/zoo/ex/time/stack.html
The Ebb and Flow of Movies: Box Office Receipts 1986 — 2008, New York Timeshttp://www.nytimes.com/interactive/2008/02/23/movies/20080223_REVENUE_GRAPHIC.html
Stream Graph
Small Multiples
One solution to illustrating time is to use small multiples to show multiple snapshots of the data at different points in time
Small Multiples
http://hci.stanford.edu/jheer/files/zoo/ex/time/multiples.html
Small Multiples
Small Multiples
Tres Epistolae de Maculis Solaribus Scriptae ad Marcum Welserum, Christoph Scheiner, 1612
http://galileo.rice.edu/sci/observations/sunspots.html
Animation
Animation is obviously a great way to illustrate changes over time
We will look at this more later in the course
Animation
www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html
Animation
Galileo's Sunspot Drawingshttp://galileo.rice.edu/sci/observations/ssm_slow.mpg
Gallileo made flip books of sunspot images to show how they moved over time
Conclusions
Visualising across time is a key methodology
There are a number of approaches that are common and useful
We will come back to animation