fixed answer for a question

data/instruct_advanced_postgres.csv

@@ -58,7 +58,7 @@ To get the number of sales made by each salesperson in the past 30 days, join th
 ASP = Calculate the average sale price without specifying the period
 GPM = Define gross profit margin as a ratio without specifying how to calculate total revenue or total cost"
 car_dealership,instructions_cte_window,"Return the first name, last name, total sales amount, number of sales, and SR for each salesperson",SR = sales rank of each salesperson ordered by their total sales amount descending,"WITH salesperson_sales AS (SELECT salesperson_id, SUM(sale_price) AS total_sales, COUNT(*) AS num_sales FROM sales GROUP BY salesperson_id) SELECT s.first_name, s.last_name, ss.total_sales, ss.num_sales, RANK() OVER (ORDER BY ss.total_sales DESC) AS sales_rank FROM salesperson_sales ss JOIN salespersons s ON ss.salesperson_id = s.id","SR = sales rank of each salesperson ordered by their total sales amount descending To determine the sales performance per territory, sum the sales amount and count the sales, grouping by territory To calculate the average sale price, join the sales table with itself on the salesperson_id and find the ratio of total sales amount to number of sales To assess inventory turnover, compare inventory snapshots with sales on matching days, focusing on the quantity of items sold."
-car_dealership,instructions_cte_window,What is the total payments received per month? Also calculate the MoM change for each month.,"MoM change = (current month value - prev month value). Return all months in your answer, including those where there were no payments. MoM will always be zero for the first month that appears in your answer.","WITH monthly_totals AS (SELECT DATE_TRUNC('month', payment_date) AS dt, SUM(payment_amount) AS total_payments FROM payments_received GROUP BY dt), monthly_range AS (SELECT generate_series(DATE_TRUNC('month', MIN(payment_date)), DATE_TRUNC('month', MAX(payment_date)), '1 month'::interval) AS dt FROM payments_received), monthly_totals_with_zero AS (SELECT mr.dt, COALESCE(mt.total_payments, 0) AS total_payments FROM monthly_range mr LEFT JOIN monthly_totals mt ON mr.dt = mt.dt) SELECT m.dt::DATE AS MONTH, m.total_payments, m.total_payments - lag(m.total_payments, 1) OVER (ORDER BY dt) AS mom_change FROM monthly_totals_with_zero m ORDER BY m.dt;WITH monthly_payments AS (SELECT DATE_TRUNC('month', pr.payment_date) AS MONTH, SUM(pr.payment_amount) AS total_payments FROM payments_received pr GROUP BY MONTH ORDER BY MONTH), monthly_range AS (SELECT generate_series(DATE_TRUNC('month', MIN(pr.payment_date)), DATE_TRUNC('month', MAX(pr.payment_date)), '1 month'::interval) AS MONTH FROM payments_received pr), monthly_payments_with_zeros AS (SELECT mr.month, COALESCE(mp.total_payments, 0) AS total_payments FROM monthly_range mr LEFT JOIN monthly_payments mp ON mr.month = mp.month) SELECT mp.month, mp.total_payments, COALESCE(mp.total_payments - lag(mp.total_payments, 1) OVER (ORDER BY mp.month), 0) AS mom_change FROM monthly_payments_with_zeros mp ORDER BY mp.month;","To ascertain the volume of sales conducted by each salesperson over a recent period, merge the salespersons and sales tables, applying a filter for recent sales transactions.
+car_dealership,instructions_cte_window,What is the total payments received per month? Also calculate the MoM change for each month.,"MoM change = (current month value - prev month value). Return all months in your answer, including those where there were no payments. MoM will always be zero for the first month that appears in your answer.","WITH monthly_totals AS (SELECT DATE_TRUNC('month', payment_date) AS dt, SUM(payment_amount) AS total_payments FROM payments_received GROUP BY dt), monthly_range AS (SELECT generate_series(DATE_TRUNC('month', MIN(payment_date)), DATE_TRUNC('month', MAX(payment_date)), '1 month'::interval) AS dt FROM payments_received), monthly_totals_with_zero AS (SELECT mr.dt, COALESCE(mt.total_payments, 0) AS total_payments FROM monthly_range mr LEFT JOIN monthly_totals mt ON mr.dt = mt.dt) SELECT m.dt::DATE AS MONTH, m.total_payments, m.total_payments - lag(m.total_payments, 1) OVER (ORDER BY dt) AS mom_change FROM monthly_totals_with_zero m ORDER BY m.dt;WITH monthly_payments AS (SELECT DATE_TRUNC('month', pr.payment_date) AS MONTH, SUM(pr.payment_amount) AS total_payments FROM payments_received pr GROUP BY MONTH ORDER BY MONTH), monthly_range AS (SELECT generate_series(DATE_TRUNC('month', MIN(pr.payment_date)), DATE_TRUNC('month', MAX(pr.payment_date)), '1 month'::interval) AS MONTH FROM payments_received pr), monthly_payments_with_zeros AS (SELECT mr.month, COALESCE(mp.total_payments, 0) AS total_payments FROM monthly_range mr LEFT JOIN monthly_payments mp ON mr.month = mp.month) SELECT mp.month, mp.total_payments, mp.total_payments - lag(mp.total_payments, 1) OVER (ORDER BY mp.month) AS mom_change FROM monthly_payments_with_zeros mp ORDER BY mp.month;","To ascertain the volume of sales conducted by each salesperson over a recent period, merge the salespersons and sales tables, applying a filter for recent sales transactions.
 To determine the average duration from sale date to payment date, perform a join between the sales and payments tables
 To calculate the average selling price, join the sales and products tables, group by product name, and compute the ratio of total sales amount to the number of sales
 MoM change = (current month value - prev month value). Return all months in your answer, including those where there were no payments."