---
title: Data Table
queries:
  - orders_by_category: orders_by_category.sql
  - orders_with_comparisons: orders_with_comparisons.sql
---

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<DataTable data={orders_by_category}/>

<DataTable data={orders_by_category} compact/>

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<DataTable data={orders_with_comparisons} rowNumbers=true search=true rowLines=true/>

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## Rows Property

### rows=40

<DataTable data={orders_by_category} rows=40 rowNumbers=true>
  <Column id=month />
  <Column id=category />
  <Column id=sales_usd0k contentType=colorscale />
  <Column id=num_orders_num0 contentType=colorscale scaleColor=red />
  <Column id=aov_usd2 contentType=colorscale scaleColor=blue />
</DataTable>


{fmt(1003530000, '[>=1000000000]$#,##0.0,,,"B";$#,##0.0,,"M"')}

## Fuzzy Search

<DataTable data={[{ thing: 'The world has many goodbyes and hellos.' }]} search=true />

```summary
select category, sum(sales_usd0k) as sales, sum(num_orders_num0) as orders, sales/orders as aov
from ${orders_by_category}
group by all
```

<DataTable data={summary}> 
 	<Column id=category/> 
	<Column id=sales fmt=usd0k contentType=colorscale scaleColor={['#304a8a','#e8efff']}/> 
	<Column id=orders/> 
	<Column id=aov fmt=usd2 contentType=colorscale scaleColor={['#b52626','#FFFFFF','#2e9939']}/> 
 </DataTable>

## Conditional Columns

<Dropdown name="display_column">
	<DropdownOption value="sales">Sales</DropdownOption>
	<DropdownOption value="orders">Orders</DropdownOption>
	<DropdownOption value="aov">AOV</DropdownOption>
</Dropdown>

<DataTable data={summary}>
	<Column id="category" />
	{#if inputs.display_column.value === 'sales'}
		<Column id=sales fmt=usd0k contentType=colorscale scaleColor={['#304a8a','#e8efff']}/>
	{:else if inputs.display_column.value === 'orders'}
		<Column id=orders/>
	{:else}
		<Column id=aov fmt=usd2 contentType=colorscale scaleColor={['#b52626','#FFFFFF','#2e9939']}/>
	{/if}
</DataTable>

## Sparkline

 ```sql cats
WITH monthly_sales AS (
    SELECT 
        category,
        DATE_TRUNC('month', order_datetime) AS date,
        SUM(sales) AS monthly_sales
    FROM 
        needful_things.orders
    GROUP BY 
        category, DATE_TRUNC('month', order_datetime)
)
SELECT 
    category,
    sum(monthly_sales) as total_sales,
    ARRAY_AGG({'date': date, 'sales': monthly_sales}) AS sales
FROM 
    monthly_sales
GROUP BY 
    category
order by total_sales desc
```

<DataTable data={cats}>
    <Column id=category/>
    <Column id=total_sales fmt=usd contentType=bar align=left/>
    <Column id=sales contentType=sparkarea sparkX=date sparkY=sales sparkYScale=false sparkColor=red/>
    <Column id=sales contentType=sparkbar sparkX=date sparkY=sales sparkYScale=false />
    <Column id=sales contentType=sparkline sparkX=date sparkY=sales sparkYScale=false />
    <Column id=sales contentType=sparkbar sparkX=date sparkY=sales sparkYScale=false />
</DataTable>

## Bar Viz

<DataTable data={summary}>
  <Column id=category/>
  <Column id=sales contentType=bar fmt=usd align=left/>
  <Column id=orders/>
  <Column id=aov contentType=colorscale fmt=usd/>
</DataTable>

