Difference between revisions of "Course Resources"
Jump to navigation
Jump to search
(Created page with "<div style=background:#2B3856 border:#A3BFB1> 200px <font size = 5; color="#FFFFFF">IS428 Visual Analytics for Business Intelligence</font> </div> <!--MAIN H...") |
|||
Line 28: | Line 28: | ||
|} | |} | ||
<br/> | <br/> | ||
+ | |||
+ | =Visual Analytics Toolkit= | ||
+ | |||
+ | In this course, students will be expose to and gain hands-on experience on several generic visual analytics toolkit and specialised data visualisation applications. Below are a list of the core software tools for this course. | ||
+ | |||
+ | |||
+ | ==Commercial Visual Analytics software== | ||
+ | |||
+ | ===Tableau=== | ||
+ | |||
+ | * Tableau home page [http://www.tableausoftware.com/] | ||
+ | * Training and Tutorials [http://www.tableausoftware.com/learn/training] | ||
+ | * Visual Gallery [http://www.tableausoftware.com/learn/gallery] | ||
+ | * Blogs that inspired | ||
+ | ** The Information Lab [http://www.theinformationlab.co.uk/blog/] | ||
+ | ** DataRemixed [http://dataremixed.com/] | ||
+ | |||
+ | ===JMP Pro=== | ||
+ | |||
+ | * JMP home page [http://www.jmp.com/software/] | ||
+ | * Discovering JMP [http://www.jmp.com/support/help/Discovering_JMP.shtml] | ||
+ | * JMP Learning Library [http://www.jmp.com/academic/learning_library.shtml] | ||
+ | * JMP® for Students 1: Navigation and Use [http://www.jmp.com/about/events/ondemand/ondemand-viewer.shtml?reglink=701a0000001s1Zc&series=academic] | ||
+ | |||
+ | ===QlikView and/or Qlik Sense (Optional)=== | ||
+ | |||
+ | * Qlik home page [http://www.qlik.com/] | ||
+ | * QlikView home page [http://www.qlik.com/us/explore/products/qlikview] | ||
+ | * Qlik Sense home page [http://www.qlik.com/us/explore/products/sense] | ||
+ | |||
+ | |||
+ | ==Data Visualisation design toolkit== | ||
+ | |||
+ | ===D3.js=== | ||
+ | |||
+ | * d3.js home page [http://d3js.org/] and download [https://github.com/mbostock/d3] | ||
+ | * D3.js Tutorial [http://chimera.labs.oreilly.com/books/1230000000345/index.html] | ||
+ | * Visual Gallery [https://github.com/mbostock/d3/wiki/Gallery] | ||
+ | * d3.js API Reference [https://github.com/mbostock/d3/wiki/API-Reference] | ||
+ | * d3.js plug-in [https://github.com/d3/d3-plugins] | ||
+ | * d3.js Google Group [https://groups.google.com/forum/#!forum/d3-js] | ||
+ | * d3.js on Stack Overflow[http://stackoverflow.com/questions/tagged/d3.js] | ||
+ | |||
+ | |||
+ | ==Specialised Data Visualisation Tools== | ||
+ | |||
+ | ===Interactive Exploratory Data Analysis=== | ||
+ | * Mondrian [http://www.theusrus.de/Mondrian/] | ||
+ | * GGobi [http://www.ggobi.org/] | ||
+ | |||
+ | ===High-dimensional Data Visualisation=== | ||
+ | * Treemaps [http://www.cs.umd.edu/hcil/treemap/] | ||
+ | * Hierarchical Clustering Explorer [http://www.cs.umd.edu/hcil/hce/] | ||
+ | |||
+ | ===Time-series Data Visualisation=== | ||
+ | * Time Searcher [http://www.cs.umd.edu/hcil/timesearcher/] | ||
+ | |||
+ | ===Graph Visualisation=== | ||
+ | * NodeXL [http://nodexl.codeplex.com/] | ||
+ | * Gephi [https://gephi.org/] |
Revision as of 10:18, 9 August 2016
|
|
|
|
|
Contents
Visual Analytics Toolkit
In this course, students will be expose to and gain hands-on experience on several generic visual analytics toolkit and specialised data visualisation applications. Below are a list of the core software tools for this course.
Commercial Visual Analytics software
Tableau
JMP Pro
- JMP home page [6]
- Discovering JMP [7]
- JMP Learning Library [8]
- JMP® for Students 1: Navigation and Use [9]
QlikView and/or Qlik Sense (Optional)
Data Visualisation design toolkit
D3.js
- d3.js home page [13] and download [14]
- D3.js Tutorial [15]
- Visual Gallery [16]
- d3.js API Reference [17]
- d3.js plug-in [18]
- d3.js Google Group [19]
- d3.js on Stack Overflow[20]
Specialised Data Visualisation Tools
Interactive Exploratory Data Analysis
High-dimensional Data Visualisation
Time-series Data Visualisation
- Time Searcher [25]