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Comp1900 Presentation
- 1. COMP 1900 Assignment 3(Group Project)Semester 2 2009Group Name: EATE Ehsan Al Haque 41361571 Adeline Wong 40049694 Tahseen Ali 41339954 Emily Charlick 42046633 1 13 October 2009 Team EATE
- 2. Overview Defining Activities General Table Generated Graphs Specific Dynamic Example Pivot Table Generated Graphs Discussion on Statement 13 October 2009 2 Team EATE
- 3. usual activities Sleep Work Eat Travel 13 October 2009 3 Team EATE
- 4. Sports Uni Study Leisure 13 October 2009 4 Team EATE
- 7. Difficult to create chart13 October 2009 5 Team EATE
- 8. Adeline’s Time Management 13 October 2009 6 Team EATE
- 9. Ehsan’s Time Management 13 October 2009 7 Team EATE
- 10. Emily’s Time Management 13 October 2009 8 Team EATE
- 11. Tahseen’s Time Management 13 October 2009 9 Team EATE
- 12. 13 October 2009 10 Team EATE
- 13. Who Sleeps the most??? 11 13 October 2009 Team EATE
- 14. Sleep Adeline? Ehsan? Tahseen? Emily? 12 13 October 2009 Team EATE
- 15. Time period differences (uni vs holidays)Dynamic Presentation Sleeping pattern changes Adeline Uni and holiday fluctuations Tahseen Daily fluctuations Dynamic presentation 13 13 October 2009 Team EATE
- 16. Adeline ‘s Time Management 13 October 2009 14 Team EATE
- 17. Ehsan’sTime Management 13 October 2009 15 Team EATE
- 18. Emily’s Time Management 13 October 2009 16 Team EATE
- 19. Tahseen’ Time Management 13 October 2009 17 Team EATE
- 20. “It is argued that students who have no more than 10 hours of paid work a week are more effective than students who do not work or work longer hours.” 13 October 2009 18 Team EATE
- 21. Hours spent on Work vshours spend on Study & Uni 19 13 October 2009 Team EATE
- 22. Background / Gender vsHours spent on Leisure Activities 20 13 October 2009 Team EATE
- 23. Conclusion 21 13 October 2009 Team EATE
- 24. 22 13 October 2009 Team EATE
Editor's Notes
- Sleep – biological state of sleepWork – paid workEating – Time spent preparing and eating foodTravel – Car, Bus and train
- Uni – time spent in lectures and tutorialsSports – physical activityStudy – time spent revising note, assignments and any other work completed outside of the university time periodLeisure – time spent with other people, family and friends, time used up with cleaning, maintenance etc.
- She spends a lot of time on leisureShe doesn’t work
- He gives time to all the activities equally except sportsHe sleeps almost 40% of a day
- More than 50% in sleep and leisureRest of the activities are equally distributed
- He studies a lotDoesn’t play much sports
- Comparison among four group members:Ehsan sleeps the mostEmily is top on leisure she also plays sports the mostTahseen studies the mostAdeline spends a lot of time for eating
- We chose sleep to compare data with a it is essential for daily functioning. It is also an indication of how different people live and change between uni and uni holidays.
- When comparing the data to each team member it is evident that Adeline and Ehsan as a total over two weeks slept the most in comparison to Emily and Tahseen. As an average Adeline and Ehsan slept 60 hrs a week and Tahseen and Emily slept approximately 50 hours a week. It is evident that Ehsan slept the most during the weekend with a maximum of 10 hrs. Across the board it is seen that each member slept approximately 6-10 hrs more when on holidays in comparison to when attending university.
- The sleeping patterns have been recorded through a dynamic representation on googledocs. As you can see Adeline fluctuates the most in the transition time from uni to uni holidays. You can also see that Tahseen fluctuates daily with an inconsistency of sleeping hrs, ranging from 5-9 hrs a day. The dynamic presentation allows a visual of movement over time an is a much better alternative to creating a lot of static charts that could too show the movement of data over time. This way a simple viewing can be analysed clearly and easily without any confusion. It also allows a quick transition of different fields with a click of a button that can each tell a different story.
- For Ehsan except for sports and study everything seems the same during holiday week, compared to Uni week.StudySportsWorking hour(didn’t changed at all)
- For Emily except for work everything seems the same during holiday week, compared to Uni week.More Study( Because There was no uni)Less Sports(NO IDEA…..EMILY CAN YOU PLEASE TELL SOMTING ABOUT THAT)Travel(Because she didn’t have to come to uni…that’s why she spent less time for travel)Working hour(didn’t changed at all)
- For Tahseen almost everything changed during holiday week compared to Uni week.Less Study( Because he spent more time for sports and leisure)More Sports Less Travel (Because he didn’t have to come to uni…that’s why he spent less time for travel)Less Working hour(Because he spent more time for sports and leisure)
- Prove or disprove this statement
- (Graph shows 2 weeks total)Adeline doesn’t work but she does not study more than others who work. Tahseen works the least hours – 14 hours per week (Ehsan – 18, Emily 21) and Tahseen spends the most time studying compared to the others. Therefore our data partially supports the statement as Tahseen works the least hours and spends the most time studying. We also found some interesting facts in regards to leisure time from inferring the data. (Next slide)
- Emily& Adeline – Arts Students, FemaleTahseen & Ehsan – Engineering Students, MaleUni week: Adeline spends around 18 hrs on leisure. Emily (28 hours) Ehsan (12 hours) Tahseen (10 hours)Holiday Week: Adeline spends 40 hours on leisure. Emily (46 hours) Ehsan (22 hours) Tahseen (24 hours)it appears Emily & Adeline spend more time on leisure activities.It could be due to Arts Students spend more time on leisure activities compared to Engineering Students, orFemales spend more time on leisure activities than males
- In conclusion, Assignment 3 started with collaboration between our group members. We entered data into a spreadsheet using Google Docs which enable us to work togather externally. Using the data collected in 2 weeks, we sort the data into tables and visualised them into charts and diagrams to tell a story. We can tell many stories from the data collected. This is the power of data.
- EATE? Initials of group membersAnd this concludes our presentation.