In this chapter, we used Qlik Sense to explore the bike sharing dataset. In Qlik Sense, we saw different ways of doing an intuitive correlation analysis.
After this, we created an application to analyze the rental activity. The application had three sheets following the DAR approach.
Finally, we used Rattle to confirm the correlation analysis we did with Qlik Sense, then we created a predictive model to forecast the demand depending on the weather forecast.
With Rattle, we used the variable
cnt as the target variable; it would be very interesting to repeat the exercise using the variables
You've arrived at the end of the book, so by now you should understand the basics of predictive analytics and data visualization and ...