A business needs to forecast demand in order to plan supplies and resources. Some industries have been using predictive analytics to forecast demand for many years and, with today's analytics revolution, a lot of new organizations are taking advantage of these techniques to do it.
In this chapter, we'll use a bike sharing dataset to create an application to analyze rental activity, and after this, we'll add information on demand forecasting by using Linear Regression.
We'll divide this chapter into four sections:
Initially, we'll download and study our dataset. To explore the dataset we'll use Qlik Sense. We've previously used Rattle to explore our data, but as I've mentioned, you can explore the dataset with both tools depending on your preference. I prefer Qlik Sense for exploration. After this chapter, you'll be able to decide which tool you prefer for exploration.
After we understand the data, we'll build a Qlik Sense application that will help...