Home>Article>Topics> How to classify and summarize Excel data?

How to classify and summarize Excel data?

coldplay.xixi
coldplay.xixi Original
2020-06-15 11:50:26 8911browse

How to classify and summarize Excel data?

How to classify and summarize Excel data?

How to classify and summarize excel data:

Open Excel and create a blank workbook.

How to classify and summarize Excel data?

#Enter data that needs to be classified and summarized. When entering data, do not use merged cells even if they are cells with the same items.

How to classify and summarize Excel data?

The above data, for example, needs to summarize the sales volume of each salesperson and the sales volume of each department. Place the cursor in the data cell and click "Data" - "Subclassification".

How to classify and summarize Excel data?

In the window that opens, select the sales department for the category field, select sum for the summary method, select sales volume for the summary item, and select the other two items by default. Click OK.

How to classify and summarize Excel data?

This achieves summary by sales department.

How to classify and summarize Excel data?

Execute the classification summary again. In the window that opens, select salesperson for the classification field, summation method, check sales volume for the summary item, and uncheck "Replace" Current Classification Summary", click OK.

How to classify and summarize Excel data?

This further enables aggregation by salesperson.

How to classify and summarize Excel data?

#Click the grading button on the left side of the worksheet to view the summary results of each level.

How to classify and summarize Excel data?

## Recommended tutorial: "

excel basic tutorial"
##

The above is the detailed content of How to classify and summarize Excel data?. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn