Add on to #181 Question clarification

data/instruct_advanced_postgres.csv

@@ -41,10 +41,11 @@ SPM (Selling Profit Margin) = (Total Amount from Sells - (Tax + Commission)) / T
 TAC = Total Active Customers who joined within a specified timeframe
 CR = Rank customers by their total transaction volume, identifying the customer with the highest transaction volume as rank 1. This involves joining price data with ticker identifiers and filtering for a specified date range."
 car_dealership,instructions_cte_join,"What is the average number of days between the sale date and payment received date, rounded to 2 decimal places?","When getting duration between sale and payment date for each sale, get the latest payment for sale by aggregating over the payments_received table first.","WITH sale_payments AS (SELECT s.id AS sale_id, s.sale_date, MAX(p.payment_date) AS latest_payment_date FROM sales s JOIN payments_received p ON s.id = p.sale_id GROUP BY 1,2) SELECT ROUND(AVG(latest_payment_date - sale_date), 2) AS avg_days_to_payment FROM sale_payments","When getting duration between sale and payment date for each sale, get the latest payment for sale by aggregating over the payments_received table first. ASP = Calculate the average price of sales within a specific timeframe Last 30 days = Use a range from the current date minus a certain interval to the current date, always ensure to make the necessary joins before utilizing the sales data. TSC = Count of sales within a specified period"
-car_dealership,instructions_cte_join,"Return the highest sale price for each make and model of cars that have been sold and are no longer in inventory, ordered by the sale price from highest to lowest. Use the most recent date in the inventory_snapshots table to determine that car's inventory status.","When getting a car's inventory status, always take the latest status from the inventory_snapshots table","WITH latest_inventory_status AS (SELECT car_id, is_in_inventory, ROW_NUMBER() OVER(PARTITION BY car_id ORDER BY snapshot_date DESC) AS rn FROM inventory_snapshots) SELECT c.make, c.model, MAX(s.sale_price) AS highest_sale_price FROM cars c JOIN sales s ON c.id = s.car_id JOIN latest_inventory_status lis ON c.id = lis.car_id WHERE lis.is_in_inventory = FALSE AND lis.rn = 1 GROUP BY c.make, c.model ORDER BY highest_sale_price DESC","Recall that a car can have multiple entries in the inventory_snapshot table.
+car_dealership,instructions_cte_join,"Return the highest sale price for each make and model of cars that have been sold and are no longer in inventory, ordered by the sale price from highest to lowest. Use the most recent date in the inventory_snapshots table to determine that car's inventory status.","When getting a car's inventory status, always take the latest status from the inventory_snapshots table","WITH latest_inventory_status AS (SELECT car_id, is_in_inventory, ROW_NUMBER() OVER(PARTITION BY car_id ORDER BY snapshot_date DESC) AS rn FROM inventory_snapshots) SELECT c.make, c.model, MAX(s.sale_price) AS highest_sale_price FROM cars c JOIN sales s ON c.id = s.car_id JOIN latest_inventory_status lis ON c.id = lis.car_id WHERE lis.is_in_inventory = FALSE AND lis.rn = 1 GROUP BY c.make, c.model ORDER BY highest_sale_price DESC","Recall that a car can have multiple entries in the inventory_snapshot table. 
 TSC = Count of sales within a specified period
 MoM = Change in total receivable amounts from one month to the next, comparing with the immediately preceding month.
-ASP = Mean sale price for a designated start period"
+ASP = Mean sale price for a designated start period
+When getting a car's inventory status, always take the latest status from the inventory_snapshots table"
 car_dealership,instructions_cte_join,"Who are the top 5 salespersons by total sales amount? Return their ID, first name, last name and total sales amount.","To get the total sales amount per salesperson, join the salespersons and sales tables, group by salesperson, and sum the sale_price. Always order results with NULLS last.","WITH salesperson_sales AS (SELECT s.id, s.first_name, s.last_name, SUM(sa.sale_price) AS total_sales FROM salespersons s LEFT JOIN sales sa ON s.id = sa.salesperson_id GROUP BY s.id) SELECT id, first_name, last_name, total_sales FROM salesperson_sales ORDER BY total_sales DESC NULLS LAST LIMIT 5","PMSR = per month sales revenue
 Always join sales with cars before using the sales table
 Weekend days are Saturday and Sunday
@@ -58,7 +59,7 @@ 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, 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.
+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.","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."
@@ -136,7 +137,7 @@ derm_treatment,keywords_aggregate,What is the CAW for male patients,CAW = cohort
 CAW = cohort average weight in kilograms
 To calculate the D7D100PIR, subtract the average PASI score at the beginning of the period from the average at the end, divide by the initial average, and multiply by 100
 The Defined Daily Dose (DDD) is calculated as the total consumed medication divided by the treatment duration"
-derm_treatment,keywords_ratio,Calculate the DDD for each drug. Return the drug name and DDD value.,"DDD (defined daily dose) = total drug amount consumed / total days of treatment (end - start date in days), where end date is not null","SELECT d.drug_name, AVG(t.tot_drug_amt / NULLIF((t.end_dt - t.start_dt), 0)) AS ddd FROM treatments t JOIN drugs d ON t.drug_id = d.drug_id WHERE t.end_dt IS NOT NULL GROUP BY d.drug_name","DDD (defined daily dose) = total drug amount consumed / total days of treatment (end - start date in days). To find the average weight of patients treated with a specific drug, first join patients with treatments on patient_id, then filter by the drug name. To identify doctors who have prescribed a certain drug type and their respective locations, first join doctors with treatments on doc_id, then filter by the drug type. To calculate the total number of adverse events reported for treatments involving certain drug types, first join treatments with adverse_events on treatment_id, then filter by the drug type."
+derm_treatment,keywords_ratio,Calculate the average DDD for each drug. Return the drug name and average DDD value.,"DDD (defined daily dose) = total drug amount consumed / total days of treatment (end - start date in days), where end date is not null","SELECT d.drug_name, AVG(t.tot_drug_amt / NULLIF((t.end_dt - t.start_dt), 0)) AS ddd FROM treatments t JOIN drugs d ON t.drug_id = d.drug_id WHERE t.end_dt IS NOT NULL GROUP BY d.drug_name","DDD (defined daily dose) = total drug amount consumed / total days of treatment (end - start date in days). To find the average weight of patients treated with a specific drug, first join patients with treatments on patient_id, then filter by the drug name. To identify doctors who have prescribed a certain drug type and their respective locations, first join doctors with treatments on doc_id, then filter by the drug type. To calculate the total number of adverse events reported for treatments involving certain drug types, first join treatments with adverse_events on treatment_id, then filter by the drug type."
 derm_treatment,keywords_ratio,What is the overall D7D100PIR across all treatments? Return the percentage value.,D7D100PIR (day 7 to day 100 PASI improvement rate) = (avg PASI score on day 100 - avg PASI score on day 7) / avg PASI score on day 7 * 100. This should only include patients who have non-null PASI scores for both timepoints.,SELECT (AVG(day100_pasi_score) - AVG(day7_pasi_score)) / AVG(day7_pasi_score) * 100 AS d7d100pir FROM outcomes WHERE day7_pasi_score IS NOT NULL AND day100_pasi_score IS NOT NULL,"To discover the average weight of patients who have been prescribed a specific medication, begin by associating patients with treatments on patient_id, and then apply a filter by the drug name.
 D7D100PIR (day 7 to day 100 PASI improvement rate) = (avg PASI score on day 100 - avg PASI score on day 7) / avg PASI score on day 7 * 100. This should only include patients who have non-null PASI scores for both timepoints.
 To identify doctors who have prescribed a certain type of drug and their state of practice, initially join doctors with treatments on doc_id, followed by filtering based on the drug type