Column
Column charts show numerical values across categories
Basic Column Chart
-- @chart: column
-- @title: Column - Basic Column Chart
-- @subtitle: An example column chart showing sales by month
-- @formats: currency
SELECT
TRUNC(date_closed, 'MONTH') as Month,
sum(amount) as Sales
FROM sales
GROUP BY Month
ORDER BY Month ASC;

January, 01 2017 00:00:00 +0000
2668855.0
February, 01 2017 00:00:00 +0000
3951547.0
March, 01 2017 00:00:00 +0000
4403443.0
April, 01 2017 00:00:00 +0000
3079040.0
May, 01 2017 00:00:00 +0000
2576305.0
June, 01 2017 00:00:00 +0000
3100093.0
Stacked Column
-- @chart: column
-- @title: Stacking - Example column chart with stacking
-- @groups: Month, Channel
-- @subtitle: An example column chart that has a single stack
-- @formats: currency
-- @series: Sales
-- @stacks: Channel
SELECT
TRUNC(date_closed, 'MONTH') as Month,
Channel,
sum(amount) as Sales
FROM sales
GROUP BY Month, Channel
ORDER BY Month ASC;

January, 01 2017 00:00:00 +0000
coldcall
174647.0
January, 01 2017 00:00:00 +0000
referral
1310064.0
January, 01 2017 00:00:00 +0000
search
681444.0
January, 01 2017 00:00:00 +0000
event
502700.0
February, 01 2017 00:00:00 +0000
pr_ad
509564.0
February, 01 2017 00:00:00 +0000
search
1109141.0
February, 01 2017 00:00:00 +0000
event
417651.0
Column with Series Labels
-- @chart: column
-- @title: Series Labels - Label at Top of Series
-- @subtitle: An example column chart with a series label above the top
-- @formats: currency
-- @series-labels: top
SELECT
TRUNC(date_closed, 'MONTH') as Month,
sum(amount) as Sales
FROM sales
-- Select just 1 year so that the labels are not too cluttered
WHERE year(date_closed) = 2017
GROUP BY Month
ORDER BY Month ASC;

January, 01 2017 00:00:00 +0000
2668855.0
February, 01 2017 00:00:00 +0000
3951547.0
March, 01 2017 00:00:00 +0000
4403443.0
April, 01 2017 00:00:00 +0000
3079040.0
May, 01 2017 00:00:00 +0000
2576305.0
June, 01 2017 00:00:00 +0000
3100093.0
July, 01 2017 00:00:00 +0000
3112476.0
August, 01 2017 00:00:00 +0000
4980193.0
September, 01 2017 00:00:00 +0000
4335105.0
October, 01 2017 00:00:00 +0000
3552154.0
November, 01 2017 00:00:00 +0000
3426988.0
December, 01 2017 00:00:00 +0000
3761158.0
Auto Grouped Column
When 1 string columns and 2 numeric columns exist
-- @title: Auto Grouped Column
-- @subtitle: Auto grouping columns when there is one category and two values
SELECT
Channel,
SUM(
CASE WHEN Sales.Status = 'Won' OR Sales.Status = 'Lost' THEN 1 ELSE 0 END
) as "Sales_Closed",
SUM(
CASE WHEN Sales.Status = 'Won' THEN 1 ELSE 0 END
) as "Sales_Won"
FROM sales
GROUP BY Channel;

coldcall
206.0
37.0
referral
1069.0
243.0
search
344.0
66.0
event
427.0
112.0
pr_ad
110.0
21.0
Column with Single Baseline
-- @chart: column
-- @title: Baselines - Single Baseline
-- @subtitle: An example column chart with a default average baseline
-- @baselines: Sales
-- @series: SALES
-- @formats: currency
SELECT
TRUNC(date_closed, 'MONTH') as Month,
sum(amount) as Sales
FROM sales
GROUP BY Month
ORDER BY Month ASC;

January, 01 2017 00:00:00 +0000
2668855.0
February, 01 2017 00:00:00 +0000
3951547.0
March, 01 2017 00:00:00 +0000
4403443.0
April, 01 2017 00:00:00 +0000
3079040.0
May, 01 2017 00:00:00 +0000
2576305.0
Column with Multiple Baselines for one Series
-- @chart: column
-- @title: Baselines - Multiple Baseline for one series
-- @subtitle: An example column chart showing sales by month
-- @formats: currency
-- @series: Sales
-- @baselines: Sales, Sales, Sales
-- @baseline-types: average, min, max
SELECT
TRUNC(date_closed, 'MONTH') as Month,
sum(amount) as Sales
FROM sales
GROUP BY Month
ORDER BY Month ASC;

January, 01 2017 00:00:00 +0000
2668855.0
February, 01 2017 00:00:00 +0000
3951547.0
March, 01 2017 00:00:00 +0000
4403443.0
April, 01 2017 00:00:00 +0000
3079040.0
May, 01 2017 00:00:00 +0000
2576305.0
June, 01 2017 00:00:00 +0000
3100093.0
July, 01 2017 00:00:00 +0000
3112476.0
Column with Commented out Directive
-- @chart: column
-- @title: Directive Comments
-- @subtitle: An example of commenting out a directive
-- @formats: currency
-- @series: Sales
-- //@baselines: Sales
SELECT
TRUNC(date_closed, 'MONTH') as Month,
sum(amount) as Sales
FROM sales
GROUP BY Month
ORDER BY Month ASC;

January, 01 2017 00:00:00 +0000
2668855.0
February, 01 2017 00:00:00 +0000
3951547.0
March, 01 2017 00:00:00 +0000
4403443.0
April, 01 2017 00:00:00 +0000
3079040.0
May, 01 2017 00:00:00 +0000
2576305.0
June, 01 2017 00:00:00 +0000
3100093.0
Auto Column
-- @title: Auto Column
-- @subtitle: An example of an auto selected column chart
SELECT
Channel,
count(*) as Won_Sales
FROM Sales
WHERE Status = 'Won'
GROUP BY Channel;

search
66.0
coldcall
37.0
event
112.0
referral
243.0
pr_ad
21.0
Column with Explicit Series
There are multiple columns defined, but we are only picking a specieis series using the @series
directive:
-- @chart: column
-- @title: Series - Basic chart
-- @subtitle: An example of explicitly defining the series
-- @series: Sales
-- @formats: currency
SELECT
TRUNC(date_closed, 'MONTH') as Month,
sum(amount) as Sales,
sum(Profit) as Profit
FROM sales
GROUP BY Month
ORDER BY Month ASC;

January, 01 2017 00:00:00 +0000
2668855.0
801583.0
February, 01 2017 00:00:00 +0000
3951547.0
1117761.0
March, 01 2017 00:00:00 +0000
4403443.0
1224108.0
April, 01 2017 00:00:00 +0000
3079040.0
862533.0
May, 01 2017 00:00:00 +0000
2576305.0
631699.0
June, 01 2017 00:00:00 +0000
3100093.0
870893.0
July, 01 2017 00:00:00 +0000
3112476.0
871875.0
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