Statistics or data profiling refers to the process of analyzing and collecting statistical information about a dataset. In the context of our tool, data profiling involves gathering statistical information about a particular column in a specific table within a database. This statistical information can include details such as distribution of data values, the data type, the maximum and minimum values, the number of null or missing values, and other relevant information. To perform data profiling in our tool, you first select the tables and columns that you want to profile. You can then apply various transformations and filters to the selected data to obtain an output that contains the statistical information you need. This information can be used to gain insights into the data and identify potential issues or inconsistencies in the data, such as duplicate records, missing data, or data outliers. By analyzing and understanding the statistical information about your data, you can make more informed decisions and take actions that will help you optimize your data quality and improve the overall performance of your system.
Path: QUERY STUDIO > Query Builder > Query Chain > Output > Data Profiling