Saturday, August 22, 2020
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, (https://cmg1.teachable.com/p/perfomaly_detection) I have started updating the content.
So far I have added an additional exercise to use recently developed free performance profiler web tool "https://www.perfomalist.com/". So the trainees can build the weekly IT-Control Chart with the provided sample data and with their own data.
The exercise is open for every one here: https://cmg1.teachable.com/courses/perfomaly_detection/lectures/17731726
Tuesday, April 14, 2020
Monday, February 3, 2020
Welcome to PERFOMALIST v1.0 - date-time-stamped data on-line analyser https://www.perfomalist.com/
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+)
INPUT: CSV file with timestamp data (time series observations of a dynamic object).
which should look like:
Data granularity: hourly (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.
- How to read IT-Control Chart (on-line article)
Peformalist tool demo: uncover patterns and anomalies in the hourly stamped data using #controlChart
UPDATE 3/2016 "Collabrodor" Android App ALPHA testing has been started. You are wellcome to be the tester! UPDATE 2/2016: ...