Beyond Compare helps you quickly locate suspicious data

If data integrity is critical, you need a reliable way to quickly identify suspicious data. Beyond Compare provides a range of powerful tools to help you achieve this goal easily. In this article, PHP editor Baicao will take you to understand the data integrity checking functions of Beyond Compare and show you how to use them to quickly locate suspicious data. Read on to learn how to: Detect outliers and patterns in your data Compare data files to identify differences Perform advanced inspections using scripts and regular expressions Carefully adding some irrelevant data or deleting some important data may have an important impact on the analysis results. However, by using the Beyond Compare (Windows system) file comparison tool, we can quickly find the differences in the two tables, thereby more effectively identifying errors in the data. Next, let’s take a look at how to operate it in detail.

Figure 1: Table analysis function

1. Data comparison

First, we need to find [Table comparison] on the homepage of the Beyond Compare file comparison tool button. After clicking this function, you can open the table comparison function panel. By clicking the Open File button at the bottom of the toolbar, we can quickly open the two spreadsheets that need to be compared.

Figure 2: Open the file

After quickly opening two spreadsheets, the Beyond Compare file comparison tool will display the entire contents of the two tables by default and use blank lines Or mark them in red to show the specific differences between the two documents. As you can see from the example below, the table on the right has one more row of data than the table on the left.

Figure 3: Data comparison

2. Display differences

When there is a lot of data in the table, we cannot quickly view all data differences. In this case, you can click the [Difference] button in the toolbar to let the Beyond Compare file comparison tool only display specific differences. As you can see from the example in the figure below, there are three differences between the two tables.

Figure 4: Difference point display

3. Copy data

After finding the specific difference points, we can handle these differences according to the actual situation point. For example, after we find the missing row of the data on the right, we can copy the data in the table on the left and paste it into the table file on the right (users cannot directly paste data in the Beyond Compare file comparison tool and need to paste the data in the original data file ). In this way, we can quickly repair erroneously lost data.

Figure 5: Copy data

By using the table comparison function of the Beyond Compare file comparison tool, we can quickly find the differences in the data table and make effective Data repair can avoid tedious manual error checking and achieve more efficient data analysis.

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