In Pluto Insights, "metrics" refer to the quantitative measurements or calculations that you want to display or analyze in your charts. Metrics provide numerical values that represent specific aspects of your data.

When creating a chart, you typically select one or more metrics to determine what information you want to visualize or summarize.


Some commonly used metrics include:


This metric calculates the total count of records or occurrences in a dataset. It is often used to count the number of entries in a specific category or group.

Unique Count

This metric calculates the number of distinct or unique values in a column. It is useful for determining the count of different categories or unique entities in your dataset.


This metric calculates the sum of a numerical column in your dataset. It is useful for aggregating values such as Enrollments, Total Completions, or any other numeric quantity that can be summed.


This metric calculates the average value of a numerical column. It provides a measure of central tendency and is useful for analyzing data such as average rating, average score, or average duration.

Minimum and Maximum:

These metrics identify the smallest and largest values in a numerical column, respectively. They help in understanding the range and extreme values within your data.


These are just a few examples of how you can use metrics in Pluto Insights. The choice of metrics depends on the nature of your data and the insights you want to derive. By selecting the appropriate metrics, you can effectively visualize and analyze your data in charts.

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