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These codes are specific to Singapore. Given a dataset about dengue occurrences in Singapore, alongside data of a particular region's temperature and rainfall, we are to attempt to train a model that could predict dengue occurrences in the future, given just the rainfall and temperature as well.

Python 100.00%

dengue-prediction's Introduction

PSA Data Analytics Business Challenge

This challenge was posed by PSA; Singapore Ports of Authority.

Context:

We were given data on the usage and platform traffic of PSA's proprietary software - PortNet
The data focused on the Haulier demographic
The data detailed the different actions these Hauliers used on PortNet
The data included the timing of these actions, which user performed the action, which organisation this user is from
We were given a separate data file detailing the browser and software platform that the user used to access PortNet

Objective:

To analyse the data to find user patterns
To analyse the data to find the affects of Covid-19
To find ways and means to enhance the user experience
Many more. (Refer to the Context page of the Report)

Notes:

Both Python and R codes were used for the analysis. R was used mostly for some visualisations.
Bulk of the analysis and cleaning was done in Python
This Git should consist of several Python and R files, and only 1 PDF file detailing our findings and efforts.

Link to Raw Data

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