> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-fix-nav-issues.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> The function plots a frequency histogram for values `x` and the repetition rate `y` of these values over the interval `[min_x, max_x]`.

# sparkbar

<h2 id="sparkbar">
  sparkbar
</h2>

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**

```sql theme={null}
sparkbar(buckets[, min_x, max_x])(x, y)
```

**Aliases**: `sparkBar`

**Parameters**

* `buckets` — The number of segments. [`(U)Int*`](/reference/data-types/int-uint)
* `min_x` — Optional. The interval start. [`(U)Int*`](/reference/data-types/int-uint) or [`Float*`](/reference/data-types/float) or [`Decimal`](/reference/data-types/decimal)
* `max_x` — Optional. The interval end. [`(U)Int*`](/reference/data-types/int-uint) or [`Float*`](/reference/data-types/float) or [`Decimal`](/reference/data-types/decimal)

**Arguments**

* `x` — The field with values. [`const String`](/reference/data-types/string)
* `y` — The field with the frequency of values. [`const String`](/reference/data-types/string)

**Returned value**

Returns the frequency histogram. [`String`](/reference/data-types/string)

**Examples**

**Without interval specification**

```sql title=Query theme={null}
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 title=Response theme={null}
┌─sparkbar(9)(event_date, cnt)─┐
│ ▂▅▂▃▆█  ▂                    │
└──────────────────────────────┘
```

**With interval specification**

```sql title=Query theme={null}
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 title=Response theme={null}
┌─sparkbar(9, toDate('2020-01-01'), toDate('2020-01-10'))(event_date, cnt)─┐
│ ▂▅▂▃▇▆█                                                                  │
└──────────────────────────────────────────────────────────────────────────┘
```