Inspiration
What inspired us to take on this project was the need to understand consumer behaviour and how we can make use of the data that we have derived to translate it into information that is easily understandable.
What it does and how we built it
This project highlights how we made use of R to look at the correlation between different groups and their tendency to purchase insurance
Challenges we ran into
There were many software/ commands that we were not sure on how we can utilise.
Accomplishments that we're proud of
We have gained valuable insight into how we can clean and process data, and were able to churn out very simple graphs depicting our results
What we learned
From our result, it shows that people of middle age 40-50 have higher tendency to purchase from singlife. the higher number of products bought reflects the satisfaction of customers from the policies and products that singlife offer
What's next for NUS_DATATHON_SINGLIFE_.ipynb
To continue making use of what we have learnt and thinking of more efficient ways we can clean data
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