If you cannot obtain the data you want to analyze directly from the data table and need to process it first, you can create an indicator. Indicators are statistical methods used to analyze transactions from various perspectives. They can be classified into different types, including:
- Atomic indicators are the smallest possible indicators that can be used to measure transaction attributes, such as the total amount.
- A derivative indicator is an indicator that is created from a single basic indicator and is typically used to extend indicators over time, such as for month-on-month comparisons or accumulated sales amounts. These metrics are indicators for conducting more complex data analysis.
- A composite indicator is an indicator that is calculated using one or more basic indicators. For example, the average unit price can be calculated by dividing the total amount by the number of sales. These indicators are useful for conducting complex data analysis.
Notes and Constraints
- You have the permission to edit required datasets.
- You can only create indicators for projects that are connected to any of the following data sources: GaussDB(DWS), ClickHouse, GaussDB, MySQL, PostgreSQL, and Doris.Note
For MySQL, only version 8.0 or later is supported.
Parent topic: Creating an Indicator
- Notes and Constraints