Performing exploratory analysis and visualization

In situations where the goal is to predict a variable such as price, it helps to visualize the data and figure out how the dependent variable is being influenced by other variables. The exploratory analysis gives a lot of insight which is not readily available by looking at the data. This section of the chapter will describe how to visualize and draw insights from big data.

Getting ready

• The head of the dataframe can be printed using the dataframe.head() function which produces an output, as shown in the following screenshot:

• Similarly, the tail of the dataframe can be printed using the dataframe.tail() function, which produces an output, as shown in the following screenshot:

• The dataframe.describe() function is used to obtain some basic statistics such as the maximum, minimum, and mean values under each column. This is illustrated in the following screenshot:

dataframe.describe() function output

• As you can observe, the dataset has 21,613 records...