Analyze frequent values¶

In this tutorial, you'll learn how to use the Frequent Values chart, a histogram that shows the number of rows containing each value of a feature. You can also see the percentage of rows where the target is a particular value.

Takeaways¶

This tutorial shows how to:

• Access and analyze the Frequent Values chart
• View average target values

Analyze frequent values¶

Use the Frequent Values chart to compare the values of a feature.

1. Import your dataset.

   

   The sample dataset featured in this tutorial contains patient data.

   

   The goal is to predict the likelihood of patient readmission to the hospital. The target feature is readmitted.

   Tip

   See the Assess data quality during EDA tutorial to learn how to use the Data Quality Assessment tool.

2. In the Project Data list, click a feature.

   For some features like categorical and boolean features, the Frequent Values tab is the default. For numeric features, the Frequent Values tab is to the right of the Histogram tab.

   The Feature Values chart displays each value that appears in the dataset for the feature and the number of rows with that value:

   

   For the admission_type_id feature, the most common values are Emergency and Urgent.

View average target values¶

After you kick off EDA2, you can also view the average target values for features.

1. Under What would you like to predict, enter your target feature.

2. Click Start.

   As soon as DataRobot finishes analyzing features, you can view the average target values in the Frequent Values chart.

3. In the Project Data list, select the feature you are analyzing.

   

   Notice the orange circles that overlay the histogram. The circles indicate the average target value for a bin.

Learn more¶

Related tutorials

• Assess data quality during EDA

Documentation:

• Frequent Values chart