Monday, June 8, 2020

The "Exercise 5. Build your weekly IT-Control Chart by Perfomalist tool" was added to my on-line CMG class "Perfomaly Detection"

As more trainees keep enrolling to my CMG/Teachable on-line class, ( I have started updating the content.

So far I have added an additional exercise to use recently developed free performance profiler web tool "". So the trainees can build the weekly IT-Control Chart with the provided sample data and with their own data.

Monday, February 3, 2020

#AnomalyDetection Free Web App "PERFOMALIST" (v1.0) is online and ready for beta testing

Welcome to PERFOMALIST v1.0 - date-time-stamped data on-line analyser

1. VISUALIZATION. Weekly (Monthly in v2+) data profiling to visualize patterns, anomalies and short term seasonality via IT-Control Charts. (v1.0)
2. ANALYSIS. Anomalies and Change Points Detection in date-time stamped data. (v2+)
INPUTCSV file with timestamp data (time series observations of a dynamic object). 

Sample input data can be downloaded from from the Download Input Data Sample (

which should look like:


Data granularityhourly (v1.0); minutely, daily (v2+)

- IT-Control Chart (see example below)  (v1.0)
- Data cube with  summarized data (168 rows/weekhours - v1.0)
- List of anomalies and change points (v2+)

Input data should consist of at least 3 weeks of history as the method requires comparing the last 7 days of data (actual) with at least 2 weeks long learning/reference data set (baseline). 
The size of the history is limited by about 5 years. Unlimited size of input data will be implemented in v.2.

Additional resources:
How to read IT-Control Chart (on-line article)
- On-line class "Performance Anomaly Detection"

Project contributors:
- Anfisa Trubina