I have a data set that consists of many single data points. They are the measurements of network traffic, so they include e.g. '1403021', '1402341, '1399312'... values that are labeled as 'label1' and e.g. '1031', '301', '501', '10'... values that are labeled as 'label2'. All the data can be measured in date range, so the data set could consist a one week sampling. So my point is that I have a lot of data that is not related to each other but I can calculate 'something' for each label. My question is how can I accurately say that some single data points in data set of e.g. 'label2', are 'high rise' (1031) points or 'low rise' (10) points - so points that by eye tells us that something odd is happening in this measurement?