How to use power bi conditional columns and replacement values_How to use power bi conditional columns and replacement values

The conditional columns and replace values ​​features in Power BI provide flexible ways to transform and modify data. By using conditional expressions, you can create new columns or replace values ​​in existing columns based on specific conditions. This article takes an in-depth look at using conditional columns and replacement values, and provides examples to illustrate their use cases. Read on to learn how to take advantage of these powerful features to enhance your Power BI data analysis and reporting.

1. First, click [Add Column]-[Conditional Column] on the PQ interface, then in the pop-up dialog box, enter [New Column Name] and set conditions, and finally click [OK].

2. Replace value

First of all, when replacing data, you can use the [Replace value] function, for example: Wanhuagu store exists in the order table There are two similar store names to Wanhuagu Store A12. After careful questioning of the staff, we found that the two store names actually represent the same store. In order not to affect our subsequent analysis of the stores, the store names are unified here: Wanhua Valley Store. Therefore, it is necessary to replace: Wanhuagu store A12 with Wanhuagu store.

2. Then return to the PQ interface, select the [Store Name] column, then right-click and select [Replace Value], and in the pop-up dialog box, fill in the [Value to be found] ] and [Replace with], and finally click [OK].

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