A client is asking me to review several tables of user entered data to find data anomolies (basically bad values entered by fat fingering or misunderstanding of the开发者_运维知识库 question). Each table has ~20 fields and I don't really want to write 20 queries for each table.
Is there an easier way to go about this if I were to specify that an outlier is 10 percent over or under the median?
![Interactive visualization of a graph in python [closed]](https://www.devze.com/res/2023/04-10/09/92d32fe8c0d22fb96bd6f6e8b7d1f457.gif)
加载中,请稍侯......
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