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  https://www.perfomalist.com/


Functionality
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 (https://www.perfomalist.com/sample-upload.csv)

which should look like:

example

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

OUTPUT:
- 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+)

Requirement: 
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 



CPD - Change Points Detection is planed to be implemented in the free web tool Perfomalist

 See details:  http://www.trub.in/2020/08/cpd-change-points-detection-is-planed.html