Difference between revisions of "ANLY482 AY2017-18T2 Group19 Data"

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<div style="background: #FFFFFF; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.03em;font-size:16px;id:UT1"><font face='Century Gothic' color=#000000 ><u>DATA DESCRIPTION</u></font></div>
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The data is similar to those used by previous groups, namely the proxy log data and the student information data. An additional data required will be the course reserve materials data which is currently unavailable at this stage.
  
The data required for us comes in 3 parts.
 
#The demand side where the patients live which is derived from the percentage distribution of elderly in the respective subzones. This data will be created at random to simulate the daily nodes for each patient.
 
#The supply side where the foundation/organisation dispatches nurses to their scheduled patients
 
#The details of services with details such as the mean and standard deviation to provide a more realistic constraint for the algorithm to take into account when routing the nurses to their patients.
 
  
The dataset for the demand side will need to be generated by ourselves which includes:
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<i>Proxy Log Data</i>
*Address: Address of patient
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59.189.71.33 tDU1zb0CaV2B8qZ 65ff93f70ca7ceaabcca62de3882ed1633bcd14ecdebbe95f9bd826bd68609ba [01/Jan/2016:00:01:36 +0800] "GET http://heinonline.org:80/HOL/VMTP?base=js&handle=hein.journals/bclr54&div=62&collection=journals&input=(The%20Great%20Peace)&set_as_cursor=0&disp_num=1&viewurl=SearchVolumeSOLR%3Finput%3D%2528The%2520Great%2520Peace%2529%26div%3D62%26f_size%3D600%26num_results%3D10%26handle%3Dhein.journals%252Fbclr54%26collection%3Djournals%26set_as_cursor%3D0%26men_tab%3Dsrchresults%26terms%3D%2528The%2520Great%2520Peace%2529HTTP/1.1" 200 2291 "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 Safari/537.36"
*Latitude: Latitude of patient’s address
 
*Longitude: Longitude of patient’s address
 
*Type:  
 
*Appointment_Times: Prefered appointment time
 
  
The dataset for the supply side will need to be generated by ourselves which includes:
 
*Id: Identification for nurse
 
*Address: Address of origin
 
*Latitude: Latitude of address
 
*Longitude: Longitude of address
 
*Type:
 
  
The dataset for the details of services includes:
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<i>Student Information Data</i>
*Discipline:
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“feb0e4d05b236c0bcc0c7331dc754921cf9189c4c1317b0b112696fcf68cd2f8, MASTER School of Accountancy, MSc in CFO Leadership, AY_2014, GY_2015”
*Type (i.e. revisits, etc):
 
*Request count:
 
*Average: average time required for the treatment type
 
*SD: standard deviation of time required for the treatment type
 
 
 
 
 
<div style="background: #FFFFFF; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.03em;font-size:16px;id:UT1"><font face='Century Gothic' color=#000000 ><u>DATA COLLECTION</u></font></div>
 
 
 
We need to conduct research to better understand the demand side and supply side to generate sufficient amount of data to work with.
 
 
 
 
 
<div style="background: #FFFFFF; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.03em;font-size:16px;id:UT1"><font face='Century Gothic' color=#000000 ><u>DATA CLEANING AND TRANSFORMATION</u></font></div>
 
 
 
The data will need to be transformed into the required formats in order for us to perform the necessary processing later.
 
 
 
 
 
<div style="background: #FFFFFF; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;letter-spacing:-0.03em;font-size:16px;id:UT1"><font face='Century Gothic' color=#000000 ><u>EXPLORATION OF DATA</u></font></div>
 
 
 
At this phase, the data will be explored in order for us to choose a suitable model to be built.
 

Revision as of 22:29, 14 January 2018


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The data is similar to those used by previous groups, namely the proxy log data and the student information data. An additional data required will be the course reserve materials data which is currently unavailable at this stage.


Proxy Log Data 59.189.71.33 tDU1zb0CaV2B8qZ 65ff93f70ca7ceaabcca62de3882ed1633bcd14ecdebbe95f9bd826bd68609ba [01/Jan/2016:00:01:36 +0800] "GET http://heinonline.org:80/HOL/VMTP?base=js&handle=hein.journals/bclr54&div=62&collection=journals&input=(The%20Great%20Peace)&set_as_cursor=0&disp_num=1&viewurl=SearchVolumeSOLR%3Finput%3D%2528The%2520Great%2520Peace%2529%26div%3D62%26f_size%3D600%26num_results%3D10%26handle%3Dhein.journals%252Fbclr54%26collection%3Djournals%26set_as_cursor%3D0%26men_tab%3Dsrchresults%26terms%3D%2528The%2520Great%2520Peace%2529HTTP/1.1" 200 2291 "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.106 Safari/537.36"


Student Information Data “feb0e4d05b236c0bcc0c7331dc754921cf9189c4c1317b0b112696fcf68cd2f8, MASTER School of Accountancy, MSc in CFO Leadership, AY_2014, GY_2015”