• Offered by Rsch Sch of Finance, Actuarial Studies & App Stats
• ANU College ANU College of Business and Economics
• Classification Transitional
• Course subject Statistics
• Areas of interest Actuarial Studies, Statistics
• Course convener
• Dr Xuan Liang
• Prof Michael Martin
• Mode of delivery In Person
• Co-taught Course
• Offered in Summer Session 2019
Second Semester 2019
Graphical Data Analysis (STAT7026)

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.

## Learning Outcomes

Upon successful completion, students will 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.

## Indicative Assessment

1. Typical assessment may include, but is not restricted to: assignments and a Project. (null) [LO null]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Students are expected to commit at least 10 hours per week to completing the work in this course. This will include at least 3 contact hours per week and up to 7 hours of private study time.

Not applicable

## Requisite and Incompatibility

To enrol in this course you must have completed STAT7055 or STAT6039 or STAT6013 or enrolment in the Master of Statistics. Incompatible with STAT3011 and STAT4026.

## Fees

Tuition fees are for the academic year indicated at the top of the page.

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500

## Course fees

Domestic fee paying students
Year Fee
2019 \$3840
International fee paying students
Year Fee
2019 \$5460
Note: Please note that fee information is for current year only.

## Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

### Summer Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
1708 01 Mar 2019 15 Mar 2019 29 Mar 2019 10 May 2019 In Person View

### Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7532 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person View