How to make a Pivot Table Detailed tutorial on Pivot Table-Computer Knowledge-php.cn

php editor Xinyi presents you with a detailed pivot table production tutorial. Pivot table is a powerful data analysis tool that can help users quickly analyze large amounts of data and discover patterns. This tutorial will start with the basic concepts and guide you step by step to learn how to create, customize and analyze PivotTables. Whether you are a beginner or an experienced user, you can easily master the skills of making pivot tables through this tutorial, providing more possibilities for data analysis work.

Select the content to be made into a pivot table in WPS, and then create the pivot chart to complete.

数据透视表怎么做数据透视表详细教程

Tutorial applies

Model: Lenovo AIO520C
System: Windows10 Professional Edition
Version: WPS Office13.0.503.101

Analysis

1First select the content that needs to be made into a pivot table on the table homepage.

数据透视表怎么做数据透视表详细教程

2Then click Insert in the menu bar, and then click PivotChart.

数据透视表怎么做数据透视表详细教程

3Then in the pop-up Create PivotChart panel, click OK to generate.

数据透视表怎么做数据透视表详细教程

4Finally, check the data in the field list on the right to generate it.

数据透视表怎么做数据透视表详细教程

Supplement: Where to make pivot table

1Open the table that needs to be edited and select Pivot Table in the Insert menu.

数据透视表怎么做数据透视表详细教程

2Select the data that needs statistics. By default, all of them are selected. If you only need to select part of them, hold down the left mouse button and drag the box to select.

数据透视表怎么做数据透视表详细教程

3Then select accordingly according to the content that needs to be counted.

数据透视表怎么做数据透视表详细教程

4Then drag the quantity in the left row label in the lower right corner to the right value.

数据透视表怎么做数据透视表详细教程

5Next click Options in the toolbar.

数据透视表怎么做数据透视表详细教程

6Select the Display tab and check the check box in front of the classic PivotTable layout.

数据透视表怎么做数据透视表详细教程

7Finally, the pivot table is completed.

数据透视表怎么做数据透视表详细教程

Summary/Notes

Do not include square brackets [] in the file name, otherwise the data source will be invalid; the first line of the data area cannot have a blank field in the title, otherwise the prompt field will be invalid.

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