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Task 2: Explore datasets

Let's explore the dataset to understand each column.

  1. In the DATASETS page, observe the two datasets we will use for this tutorial.
  2. Click the NPStimeseries_train.csv dataset and select the DETAILS option.
  3. Let’s take a quick overview of the columns of the training dataset:
  • The dataset consists of 7 columns which are as follows: Dataseta. ID - A unique identifier assigned to each customer.
    b. Market - The country in which the customer banks.
    c. Survey date - The date on which the customer completed the survey.
    d. Customer name - The name of the customer.
    e. Month - The month during which the survey was completed.
    f. Quarter - The quarter during which the survey was completed.
    g. NPS - A score ranging from 0 to 10, reflecting the customer's likelihood of recommending the bank to friends and family.
  1. Return to the Datasets page.

Now that you understand each column of the dataset, in Task 3, we will learn how to set up the experiment from scratch.

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