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Topics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Part of Excel Spreadsheet ,[object Object],Week Date UQ student No. First Name Last Name Category Activity Time Duration 1 14/09/2008 41201396 Andrew McMillen Recreation Drinking 12:00:00 AM 6 1 14/09/2008 41201396 Andrew McMillen Recreation Drinking 3:00:00 PM 3 1 14/09/2008 41201396 Andrew McMillen Socialising Video Games 7:00:00 PM 2 1 14/09/2008 41201396 Andrew McMillen Education Internet 10:00:00 AM 4 1 14/09/2008 41201396 Andrew McMillen Travel Train 2:00:00 PM 1 1 14/09/2008 41201396 Andrew McMillen Rest Sleeping 11:00:00 PM 1 1 14/09/2008 41613298 Harry Kim Rest Sleeping 12:00:00 AM 9 1 14/09/2008 41613298 Harry Kim Religion Church 10:30:00 AM 2 1 14/09/2008 41613298 Harry Kim Recreation Videos 4:00:00 PM 3 1 14/09/2008 41613298 Harry Kim Education Study 8:00:00 PM 3 1 14/09/2008 41613298 Harry Kim Recreation Reading 12:00:00 AM 0.5 1 14/09/2008 41788468 Samuel Ninness Rest Sleeping 12:00:00 AM 9 1 14/09/2008 41788468 Samuel Ninness Recreation Videos 10:00:00 AM 8 1 14/09/2008 41788468 Samuel Ninness Recreation Videos 8:00:00 PM 2 1 14/09/2008 41788468 Samuel Ninness Rest Sleeping 10:00:00 PM 2
Pivot Tables ,[object Object],[object Object],[object Object],Weekly Duration   Week 1   Week 2   Andrew Harry Samuel Andrew Harry Samuel Education 18 48 24.5 11.5 41 28.5 Exercise 2 1   1 3.5 Housework 3 2.5 2 2.5 Recreation 21 14 28.5 16 12.5 21 Religion 2     2 Rest 54 55.5 70 52.2 57.5 69 Socialising 6 10.5 4.5 16 9.65 4.5 Travel 6 10 8.3 5 9 8 Work 36 8.5 38 16
In Percentage Week 1 Week 2 Weekly Duration   Weekly Duration   Andrew Harry Samuel Andrew Harry Samuel Education 20% 53% 27% Education 14% 51% 35% Exercise 67% 33% 0% Exercise 22% 78% 0% Housework 55% 0% 45% Housework 44% 0% 56% Recreation 33% 22% 45% Recreation 32% 25% 42% Religion 0% 100% 0% Religion 0% 100% 0% Rest 30% 31% 39% Rest 29% 32% 39% Socialising 29% 50% 21% Socialising 53% 32% 15% Travel 25% 41% 34% Travel 23% 41% 36% Work 81% 0% 19% Work 70% 0% 30%
Visualization  ,[object Object],[object Object],[object Object],[object Object]
Static representation ,[object Object]
Static continued… ,[object Object]
Dynamic Representation ,[object Object],[object Object],[object Object],[object Object]
Dynamic Continued… ,[object Object],[object Object]
Structure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Database Structure Example ,[object Object],Activity Log Student Info Activity Types Field UQ student No. First Name Last Name 41201396 Andrew McMillen 41613298 Harry Kim 41788468 Samuel Ninness Date  UQ student No.  Activity  Time  Duration  14/09/2008 41201396 Train 2:00:00 PM 1 14/09/2008 41201396 Sleeping 11:00:00 PM 1 14/09/2008 41613298 Sleeping 12:00:00 AM 9 14/09/2008 41613298 Church 10:30:00 AM 2 Category  Activity  Travel Train Rest Sleeping Religion Church Recreation Videos
Additional Constraints ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Spreadsheet constraints example Numbers Text Date Currency 1.00 Where 19/09/2009 $13.00 5423.00 Is 19/09/2009 $56.00 234.00 My 19/09/2009 $47.00 52.00 Cow 19/09/2009 $85.00 76.00 ? 19/09/2009 $99.00 Each Column is formatted to display  the specified information only
Data Manipulation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reports example This report based the this query
Calculations Example Num A Num B Total 20 2 22 10 6 16 5 5 10 7 3 10 9 8 17       Num A + Num B = Total
Limitations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Development ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Supporting Hypothesis using data ,[object Object]
Using our group data ,[object Object],[object Object]
[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object]
Working vs Non-working students continued (data from another research) ,[object Object],[object Object],[object Object]
Working vs Non-working students ,[object Object],[object Object]
Working vs Non-working students ,[object Object],[object Object],[object Object]
Working vs Non-working students ,[object Object],[object Object],[object Object]
Working vs Non-working students ,[object Object]
Working vs Non-working students
Spreadsheet vs Database ,[object Object],[object Object],[object Object]
Project Limitations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
In Conclusion: ,[object Object],[object Object],[object Object],[object Object]

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COMP1900 group presentation

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  • 4. In Percentage Week 1 Week 2 Weekly Duration   Weekly Duration   Andrew Harry Samuel Andrew Harry Samuel Education 20% 53% 27% Education 14% 51% 35% Exercise 67% 33% 0% Exercise 22% 78% 0% Housework 55% 0% 45% Housework 44% 0% 56% Recreation 33% 22% 45% Recreation 32% 25% 42% Religion 0% 100% 0% Religion 0% 100% 0% Rest 30% 31% 39% Rest 29% 32% 39% Socialising 29% 50% 21% Socialising 53% 32% 15% Travel 25% 41% 34% Travel 23% 41% 36% Work 81% 0% 19% Work 70% 0% 30%
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  • 13. Spreadsheet constraints example Numbers Text Date Currency 1.00 Where 19/09/2009 $13.00 5423.00 Is 19/09/2009 $56.00 234.00 My 19/09/2009 $47.00 52.00 Cow 19/09/2009 $85.00 76.00 ? 19/09/2009 $99.00 Each Column is formatted to display the specified information only
  • 14.
  • 15. Reports example This report based the this query
  • 16. Calculations Example Num A Num B Total 20 2 22 10 6 16 5 5 10 7 3 10 9 8 17       Num A + Num B = Total
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