Hi all, I'd like to share a new pull request that brings some powerful analytical capabilities to our query engine.
Currently, users who want to perform advanced statistical analysis often have to extract their time-series data from IoTDB first. To make in-database analytics much easier and more efficient, this PR adds native support for several advanced statistical aggregation functions directly into the database. Here is a quick breakdown of what is included in these changes: * **New Statistical Functions**: We've added `CORR`, `COVAR_POP`, `COVAR_SAMP`, `REGR_SLOPE`, `REGR_INTERCEPT`, `SKEWNESS`, and `KURTOSIS` to the system. You can review the changes here: https://github.com/apache/iotdb/pull/17292 Best regards, -------------------- Yuan Tian
