- Code STAT7026
- Unit Value 6 units
- Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
- ANU College ANU College of Business and Economics
- Course subject Statistics
- Areas of interest Actuarial Studies, Statistics
- Academic career PGRD
- Prof Michael Martin
- Mode of delivery In Person
- Co-taught Course
Second Semester 2016
See Future Offerings
This course introduces the principles of data representation, summarisation and presentation with particular emphasis on the use of graphics. The course will use the S-Plus Language in a modern computing environment. Topics to be discussed include: Data representation; examples of good and bad graphics; principles of graphic construction; some pitfalls to be avoided; presentation graphics. Graphics environments; interactive graphics; windows; linked windows; graphics objects. Statistical graphics; stem and leaf plots, box plots, histograms; smoothing histograms; quantile-quantile plots; representing multivariate data; scatterplots; clustering; stars and faces; dynamic graphics including data rotation and brushing. Relationships between variables; smoothing scatterplots; simple regression; modelling and diagnostic plots; exploring surfaces; contour plots and perspective plots; multiple regression; relationships in time and space; time series modelling and diagnostic plots.
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of the requirements for this course, students should have the
knowledge and skills to:
1. Demonstrate detailed knowledge of the R statistical computing language, particularly graphical capabilities
2. Explain in detail and be able to apply the principles of good data representation
3. Recognise and critique examples of good and bad graphics
4. Explain in detail and apply the principles of good graphic construction
5. Explain in detail and be able to use various graphics environments, interactive graphics and graphics objects.
6. Construct graphical representations of one dimensional data
7. Construct graphical representations for multivariate data including scatterplots, and dynamic graphics.
8. Be able to use diagnostic plots when conducting statistical modelling to explore and refine statistical models for data, including detailed explanations of such use.
9. Construct and interpret graphical displays for dependent data.
See the course outline on the College courses page. Outlines are uploaded as they become available.
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10 hours per week.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7736||18 Jul 2016||29 Jul 2016||31 Aug 2016||28 Oct 2016||In Person||N/A|