How to use sql to check the chain ratio of the operating income of a store in an order table for a period of time

One: train of thought

To query the chain ratio of a store's operating income for a period of time in an order table, you can follow the steps below:

  1. Use the SELECT statement to select the required data columns, such as the order date and order amount, and the store name column.

  2. Use the WHERE statement to filter out the order data of the specified store and time period. For example, the following statement can be used to select orders named "StoreA" with dates between January 1, 2022 and January 31, 2022:

SELECT OrderDate, OrderAmount, StoreName
FROM Orders
WHERE StoreName = 'StoreA'
AND OrderDate BETWEEN '2022-01-01' AND '2022-01-31'

3. Aggregate the selected order data to calculate the total operating income. You can use the SUM function to calculate the sum of the order amounts as follows: 

SELECT SUM(OrderAmount) AS Revenue, StoreName
FROM Orders
WHERE StoreName = 'StoreA'
AND OrderDate BETWEEN '2022-01-01' AND '2022-01-31'

 

4. To calculate the month-on-month growth rate, you can use the LAG function to get the total operating income of the previous time period, then divide them and multiply by 100, as follows:

SELECT ((SUM(OrderAmount) - LAG(SUM(OrderAmount)) OVER (ORDER BY OrderDate)) / LAG(SUM(OrderAmount)) OVER (ORDER BY OrderDate)) * 100 AS RevenueGrowthRate, StoreName
FROM Orders
WHERE StoreName = 'StoreA'
AND OrderDate BETWEEN '2022-01-01' AND '2022-01-31'

 

Two: Summary

The above statement uses the LAG function to get the total operating income for the previous time period and use it to calculate the quarter-over-quarter growth rate. Finally, multiply by 100 to convert the result to a percentage.

The above SQL query involves the following knowledge points:

  1. SELECT statement: used to select the data columns to be retrieved.

  2. WHERE statement: Used to filter data and select only rows that meet specified conditions.

  3. SUM function: Used to calculate the sum of numeric data columns.

  4. LAG function: used to obtain the data of the previous time period.

  5. OVER clause: used to specify the data window on which the window function acts.

  6. ORDER BY clause: Used to specify the sort order of the data.

  7. MoM growth rate: Used to compare the growth rates of two time periods. The calculation method is (the number of the current period - the number of the previous period) / the number of the previous period, and then multiplied by 100, expressed as a percentage.

In general, the above query involves basic statements, aggregate functions, window functions and mathematical calculation methods in SQL. At the same time, you need to understand the calculation method of the chain growth rate in order to correctly calculate and interpret the query results.

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Origin blog.csdn.net/CSH__/article/details/129343154