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Updated User's guide to clarify summary statistic nodes.

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2025-02-17 01:55:02 -08:00
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@@ -221,16 +221,16 @@ Use **Pandas Sort**.
![Pandas Sort](images/sort.jpg)
## Summary statistics
You can compute summary statistics for each row in a DataFrame using below nodes:
* **Pandas Count** to get the number of rows.
* **Pandas Min** to get the minimum row value.
* **Pandas Max** to get the maximum value of row values.
* **Pandas Mean** to get the mean of row values.
* **Pandas Median** to get the median of row values.
* **Pandas Mode** to get the mode of row values.
* **Pandas Sum** to get the sum of row values.
* **Pandas Std** to get the standard deviation of row values.
* **Pandas Var** to get the variance of row values.
You can compute summary statistics for each column in a DataFrame using below nodes:
* **Pandas Count** to get the number of rows for the column.
* **Pandas Min** to get the minimum row value within a column.
* **Pandas Max** to get the maximum value of row values within a column.
* **Pandas Mean** to get the mean of row values within a column.
* **Pandas Median** to get the median of row values within a column.
* **Pandas Mode** to get the mode of row values within a column.
* **Pandas Sum** to get the sum of row values within a column.
* **Pandas Std** to get the standard deviation of row values within a column.
* **Pandas Var** to get the variance of row values within a column.
All nodes return a Series except for Pandas Mode, which returns a DataFrame. This is necessary because multiple values may occur with the highest frequency. For example:
```