Time for action – creating our first sparkline

We will modify our principal data set to practice each of the following points. We will create a subreport, and within it we will create and configure two sparklines.

1. We modify the SQL query of our data set to conform to the needs of this guide. We add the field customer_id at the end of the list of fields in the SELECT statement. Our query should look like the following:

     SELECT country.country_id, country.country, customer.first_name,customer.last_name, SUM(payment.amount) sum_amount, payment.customer_id
     FROM payment 
     INNER JOIN customer ON customer.customer_id=payment.customer_id
     INNER JOIN address ON address.address_id=customer.address_id
     INNER JOIN city ON city.city_id=address.city_id
     INNER JOIN country ON country.country_id=city.country_id
     WHERE country.country_id IN (20,24,29,34,48,67,74)
     GROUP BY payment.customer_id
     ORDER BY country.country, customer.first_name

   In the Details section, beside the label Trend, we...