I created an interactive dashboard using plotly and flexdashboard.

Using data preprocessing tools on real-life datasets.

Business case Streaming company Why Not Watch? (WNW) has built up a healthy customer base with good content offerings but is continually refining their recommendation engine to provide better recommendations to customers. Better recommendations improve user engagement and importantly increase the average hours watched per user per day, a key metric used to price ads for 3rd party marketing companies. The executives at WNW want to know if the new recommendation engine algorithm is worth rolling out to all their subscribers. They have asked you to analyse the results from a recent change they made in their recommendation engine and present the results to the executive team.

In this report I answered a series of statistical questions on a dataset based on demographic data from the ABS broken down by age and gender.