# data[].attributes.headline
lee_dai_yi@scdf.gov.sg																				

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lee_dai_yi@scdf.gov.sg																				

# data[].attributes.headline
lee_dai_yi@scdf.gov.sg																				

# data[].attributes.subject
lee_dai_yi@scdf.gov.sg																				

# data[].attributes.headline
lee_dai_yi@scdf.gov.sg																				

# data[].attributes.subject
lee_dai_yi@scdf.gov.sg																				

# data[].attributes.headline
lee_dai_yi@scdf.gov.sg																				

# data[].attributes.subject
lee_dai_yi@scdf.gov.sg																				

# data[].attributes.headline
lee_dai_yi@scdf.gov.sg																				

# data[].attributes.subject
lee_dai_yi@scdf.gov.sg																				

# data[].attributes.body
Tried but did not managed to get the buffer right

# data[].attributes.body
Sorry.. Tableau crashed halfway.. got to reload and redo :(

# data[].attributes.body
1) Generated Long/Lat doesnt seem to be very accurate as the LRT are not along the streets (We know LRTs are along the street)
2) Non-generated Long/Lat are ok but note that there are other aggregated data points (if calculated from the 'calculated fields' formula  on the chart and should be excluded.)
3) Makepoint method is good in terms of accuracy and calculation can be used later on.

# data[].attributes.attachment_link.title
Week 15 - Task E [noh_iqbar_khan@spf.gov.sg]

# data[].attributes.attachment_link.title
Week 15 - Task D [noh_iqbar_khan@spf.gov.sg]

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Week 15 - Task C [noh_iqbar_khan@spf.gov.sg]

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Week 15 - Task B [noh_iqbar_khan@spf.gov.sg]

# data[].attributes.attachment_link.title
Week 15 - Task A [noh_iqbar_khan@spf.gov.sg]