Counting Sales by Hour in Splunk

When analyzing sales data, it's crucial to understand the peak hours for maximum sales volume. In Splunk, you can use various commands and functions to achieve this goal. In this article, we will explore how to count sales by hour using Splunk stats and eventstats commands.

Example Scenario

Suppose you have a table that shows sales data for a specific period, with the following columns: `_time`, `Make`, and `Model Sold`. Your task is to find out which hour had the maximum sales volume. For instance, if you sell 15 Accords from 7:00 to 8:00 and 12 Accords from 8:00 to 9:00, then the result at 9:00 would be.

To accomplish this, you can use the following Splunk query:

```splunk

```

This query uses the `bucket` command to group the data by hour, and then calculates the total sales for each hour using the `stats` command. The `eventstats` command is used to find the maximum sales volume for each make and hour combination. Finally, the query filters out rows where the total sales do not match the maximum sales volume, and renames the column to `'No of Models Sold'`.

Removing Unnecessary Columns

If you want to remove unnecessary columns from your result set, you can use the `fields` command. For example:

```splunk

```

This query removes the `Hour_Max` column from the result set.

In this article, we demonstrated how to count sales by hour in Splunk using the stats and eventstats commands. We also showed how to remove unnecessary columns from the result set. By applying these techniques, you can gain valuable insights into your sales data and identify peak hours for maximum sales volume.

Splunk stats count by hour