Time Series Analysis in PostgreSQL
Jasmin Ludolf
Content Developer, DataCamp

Range boundaries:
Alternative to range: partition by event or category
Range 1 : 2000-2010
2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009
Range 2 : 2010-2020
2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
PARTITION BY RANGECREATE TABLE timetable (
    date_info DATE,
    train_id INTEGER,
    departure_time TIMESTAMP,
    arrival_time TIMESTAMP,
    delay INTEGER
) PARTITION BY RANGE (date_info);
PARITION OF FOR VALUES FROMtimetable is a partitioned table, partitioned on date_info using the RANGE method
CREATE TABLE timetable_y2020 PARTITION OF timetable
    FOR VALUES FROM ('2020-01-01') to ('2020-12-31');
OVER clause indicates a window functionregional_timetable date, times, id, delays, and regionPARTITION BY : the window function treats the entire table as one partitionSELECT region, train_id, delay, AVG(delay) OVER (PARTITION BY region)
FROM regional_timetable;
|region|train_id|   delay|     avg|
|------|--------|--------|--------|
| north|       6|00:00:05|00:00:05|
| north|       2|00:00:03|00:00:05|
| north|       5|00:00:07|00:00:05|
|  east|       1|00:00:10|00:00:21|
|  east|       3|00:00:32|00:00:21|
| south|       8|00:01:00|00:01:00|
Time Series Analysis in PostgreSQL