ETC5521: Diving Deeply into Data Exploration

Project Part 1 insights

Professor Di Cook

Department of Econometrics and Business Statistics

Collaborations

Reported v Commits
Lines
Commits v Lines
Timing

Reflections

Worked
Challenges
Benefits
Part 2

IDA

Anomalies
Temporal gaps
Peaks

Insights about fuel prices

Diesel
Rural
Brand
Brand
Fuel
Suburb
Spatial

What happened in Jan-Feb in some Sydney stations?

Excited to see

Linked plots
Clever processing
Customer focus
Lineups

comparison to day 1, or different events

“about $2 per 50-litre fill” to help digest 80c drop

e.g. regional vs urban change

Discussion about part 2

What does temporal analysis or traffic mean?
What is the traffic data?
???

Request for part 2

Fold the code in the report