sparkbar

Introduced in: v21.11.0 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)

Aliases: sparkBar Parameters

buckets — The number of segments. (U)Int*
min_x — Optional. The interval start. (U)Int* or Float* or Decimal
max_x — Optional. The interval end. (U)Int* or Float* or Decimal

Arguments

x — The field with values. const String
y — The field with the frequency of values. const String

Returned value Returns the frequency histogram. String Examples Without interval specification

Query

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);

Response

┌─sparkbar(9)(event_date, cnt)─┐
│ ▂▅▂▃▆█  ▂                    │
└──────────────────────────────┘

With interval specification

Query

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);

Response

┌─sparkbar(9, toDate('2020-01-01'), toDate('2020-01-10'))(event_date, cnt)─┐
│ ▂▅▂▃▇▆█                                                                  │
└──────────────────────────────────────────────────────────────────────────┘

​sparkbar

sparkbar