Analysing Data Sets

Analysing Data Sets

1. Bus Stops

   • Strengths
     • Provides the exact location of bustop
       • The data can be imported into the application, thus making it easier for the user.
     • Provides Translink ID
       • This allows the specific bus and routes to be easily identified, so it can link up to the event locations.
   • Limitations
     • Irrelevant Data
       • This data has a range of irrelevant data, however this can be fixed by incorporating data cleaning.
   • Interesting Factors
     • Provides difficulty of access, rate of buses coming through.
       • The information can help users who have disabilities thus, allowing them to use the application in order to travel across Brisbane.

2. Event Locations

   • Strengths
     • Provides Exact Location
       • Allows the user to know where the event is and at what time.
   • Limitations
     • Doesn't Provide Type of Events that occur at the location
       • The type of event isn't provided, however this can be fixed by manually adding them.
   • Interesting Factors
     • Incorporates which type of event.
       • This can inform what event is suited best towards their passions and interests.

3. Bike Racks

   • Strengths
     • Incorporates locations of bike racks as well as park location
       • Data has a range of uses and features for a user who has a passion for bike riding.
   • Limitations
     • Only caters for locations near the CBD.
       • There are a range of bike rack locations in Brisbane, however only certain users can use this if they riding near the CBD.
   • Interesting factors
     • Provides type and number of bike racks.
       • Can be used for users who want to ride with families.

4. City Parks

   • Strengths
     • Provides types of task to do and name of park
       • This data can be used to display the types of activities that can be completed at the park, to inform familes.
     • Provides Exact Location
       • This data can be used to provide locations to the users.
   • Limitations
     • Irrelevant Information
       • The data has a range of irrelevant information, this can be fixed through data cleaning.
   • Interesting Factors
     • Provides Shape Area and postal Code
       • It can allow the user to know how big the park is and whether it is suited towards them.

5. Drinking Fountains

   • Strengths
     • Incorporates Object ID
       • This value is unique, thus it can easily be identified, which drinking fountain it is.
     • Provides Exact Location
       • The exact location allows it the data to be imported easily.
     • Links with park number
       • It can easily be identified where the drinking fountain location is within a park.
   • Limitations
     • Unessary data
       • There is a range of unnecessary data, however this can be fixed through data cleaning.
   • Interesting Factors
     • Informs about capacity and item descrption
       • This can be used to provide extra data about the drinking fountain.

6. Swimming Pool

   • Strengths
     • Provides Information for Disability Access
       • Thus, this data can be used to determine whether the user can use the pool, or not.
   • Limitations
     • Opening Hours Not Specific
       • Based on the data is Cannot be determined for how long the location is open for.
     • 2nd Phone number is not provided
       • In a situation where the 1st mobile is down there is no back up number.
   • Interesting Factors
     • Provides information for Disability Parking
       • Caters to users who have disabilities in order to help them find the best location suited towards their needs.