Difference between revisions of "SMT483G4: WheelGo Documentation"
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==User Profile Analysis== | ==User Profile Analysis== | ||
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In order to understand the wheelchair-users' travel behaviours, we find it necessary to exercise analysis on the user profiles. The available raw data includes: | In order to understand the wheelchair-users' travel behaviours, we find it necessary to exercise analysis on the user profiles. The available raw data includes: | ||
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<br/> | <br/> | ||
| − | + | ===Visualizations=== | |
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Based on these variables, here are some examples of the diagrams we generated: | Based on these variables, here are some examples of the diagrams we generated: | ||
[[File:Weekday.png|left|500px]] | [[File:Weekday.png|left|500px]] | ||
| + | <br/> | ||
[[File:AvgTimeDistance day.png|500px|thumb|left]] | [[File:AvgTimeDistance day.png|500px|thumb|left]] | ||
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| + | [[File:BoxWhisker Distance.png|500px|thumb|left]] | ||
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| + | [[File:Clustering.png|500px|thumb|left]] | ||
Latest revision as of 17:46, 15 March 2020
User Profile Analysis
Data
In order to understand the wheelchair-users' travel behaviours, we find it necessary to exercise analysis on the user profiles. The available raw data includes:
- Travel Distance per second
- 24Hr Timing
- Travel Date
- GPS Data
In order to get more meaningful outputs, we have used the available information to generate the following four variables:
- Travel Speed
- Travel Duration
- Weekday
- Number of Travel Days
Visualizations
Based on these variables, here are some examples of the diagrams we generated:
