Create a chart

Creating a Chart with the UI

Forest Admin provides a straightforward UI to configure the charts you want.

First, turn on the Layout Editor mode (1), then click Add a new chart (2).

To add a new dashboard, click on + New while in Layout Editor mode (0).

Then add a Name and optionally a Description (1) and select a chart type (2):

Next, in Simple mode, you need to provide the following information, depending on your chart type:

• 1 collection

• 1 aggregate function (count, sum, …)

• 1 group by field

• 1 time frame (day, week, month, year) option.

• 1 or multiple filters.

Creating a Chart with SQL

To enable this feature in agent v2, your developers have to add a connection name to the datasources on which you want to execute live queries chart.

After that, you must select on which one you want to run the query.

The Query mode is only available for SQL databases.

For security reasons, only SELECT queries are allowed.

The Query mode has been designed to provide you with a flexible, easy to use and accessible interface when hard questions need to be answered. Simply type SQL queries using the online editor and visualize your data graphically.

The syntax of the SQL examples below can be different depending on the database type (SQLite, MySQL, Postgres, SQL Server, etc.). Please, refer to your database documentation for more information.

Single value

The returned column must be named value. In the following example, we simply count the number of customers.

SELECT COUNT(*) AS value
FROM customers;

Single value (with growth percentage)

The returned columns must be named value and previous. In the following example, we simply count the number of Appointments booked in January 2018 and compare this value to the number of Appointments booked in the previous month.

SELECT current.count AS value, previous.count AS previous
FROM (
    SELECT COUNT(*)
    FROM appointments
    WHERE start_date BETWEEN '2018-01-01' AND '2018-02-01'
) as current, (
    SELECT COUNT(*)
    FROM appointments
    WHERE start_date BETWEEN '2017-12-01' AND '2018-01-01'
) as previous;

Repartition

The returned columns must be named key and value. In the following example, we simply count the number of transactions distributed by status.

SELECT transactions.status AS key, COUNT(*) AS value
FROM transactions
GROUP BY status;

Time-based

The returned columns must be named key and value. In the following example, we simply count the number of appointments per month.

SELECT DATE_TRUNC('month', start_date) AS key, COUNT(*) as value
FROM appointments
GROUP BY key
ORDER BY key;

Objective

The returned columns must be named key and objective. In the following example, we set manually the objective to 750.

SELECT COUNT(orders) AS value, 750 AS objective
FROM orders
WHERE orders.created_at < date_trunc('year', now());

Leaderboard

The returned columns must be named key and value and LIMIT must be defined. In the following example, we limited the leaderboard to 10 items.

SELECT companies.name AS key, SUM(transactions.amount) AS value
FROM transactions
JOIN companies ON transactions.beneficiary_company_id = companies.id
GROUP BY key
ORDER BY value DESC
LIMIT 10;