sparkbar
The function plots a frequency histogram for values x and the repetition rate y of these values over the interval [min_x, max_x].
The function plots a frequency histogram for values x and the repetition rate y of these values over the interval [min_x, max_x].
Repetitions for all x falling into the same bucket are averaged, so data should be pre-aggregated.
Negative repetitions are ignored.
If no interval is specified, then the minimum x is used as the interval start, and the maximum x — as the interval end.
Otherwise, values outside the interval are ignored.
Syntax
sparkbar(buckets[, min_x, max_x])(x, y)Parameters
buckets— The number of segments.(U)Int*min_x— Optional. The interval start.(U)Int*orFloat*orDecimalmax_x— Optional. The interval end.(U)Int*orFloat*orDecimal
Arguments
x— The field with values.const Stringy— The field with the frequency of values.const String
Returned value
Returns the frequency histogram. String
Examples
Without interval specification
CREATE TABLE spark_bar_data (`value` Int64, `event_date` Date) ENGINE = MergeTree ORDER BY event_date;
INSERT INTO spark_bar_data VALUES (1,'2020-01-01'), (3,'2020-01-02'), (4,'2020-01-02'), (-3,'2020-01-02'), (5,'2020-01-03'), (2,'2020-01-04'), (3,'2020-01-05'), (7,'2020-01-06'), (6,'2020-01-07'), (8,'2020-01-08'), (2,'2020-01-11');
SELECT sparkbar(9)(event_date, cnt) FROM (SELECT sum(value) AS cnt, event_date FROM spark_bar_data GROUP BY event_date);┌─sparkbar(9)(event_date, cnt)─┐
│ ▂▅▂▃▆█ ▂ │
└──────────────────────────────┘With interval specification
SELECT sparkbar(9, toDate('2020-01-01'), toDate('2020-01-10'))(event_date, cnt) FROM (SELECT sum(value) AS cnt, event_date FROM spark_bar_data GROUP BY event_date);┌─sparkbar(9, toDate('2020-01-01'), toDate('2020-01-10'))(event_date, cnt)─┐
│ ▂▅▂▃▇▆█ │
└──────────────────────────────────────────────────────────────────────────┘Introduced in version 21.11.