Project On Query Formula in Google Sheet
A project on the QUERY formula in Google Sheets can involve using this powerful function to analyze and manipulate a dataset. Here's an example project:
Dataset: The project involves analyzing a dataset of customer orders for a clothing store. The dataset contains the following columns: Order ID, Order Date, Customer Name, Item, Quantity, and Price.
Objective: The objective is to use the QUERY formula to analyze the dataset and answer the following questions:
- What are the total sales for each item?
- Who are the top 5 customers by total spending?
- What is the monthly sales trend for the last 6 months?
- What is the average price per item for each customer?
Steps:
1. Import the dataset into a Google Sheet.
2. Use the QUERY formula to calculate the total sales for each item by running the following formula:
=QUERY(A1:F, "SELECT D, SUM(E*F) GROUP BY D")
This formula selects columns D, E, and F, calculates the product of columns E and F, and sums the result by each unique value in column D.
2. Use the QUERY formula to calculate the total sales for each item by running the following formula:
=QUERY(A1:F, "SELECT D, SUM(E*F) GROUP BY D")
This formula selects columns D, E, and F, calculates the product of columns E and F, and sums the result by each unique value in column D.
3. Use the QUERY formula to find the top 5 customers by total spending by running the following formula:
=QUERY(A1:F, "SELECT C, SUM(EF) GROUP BY C ORDER BY SUM(EF) DESC LIMIT 5")
This formula selects columns C, E, and F, calculates the product of columns E and F, sums the result by each unique value in column C, orders the results by descending order of the sum, and limits the result to 5 rows.
=QUERY(A1:F, "SELECT C, SUM(EF) GROUP BY C ORDER BY SUM(EF) DESC LIMIT 5")
This formula selects columns C, E, and F, calculates the product of columns E and F, sums the result by each unique value in column C, orders the results by descending order of the sum, and limits the result to 5 rows.
4. Use the QUERY formula to analyze the monthly sales trend for the last 6 months by running the following formula:
=QUERY(A1:F, "SELECT MONTH(B)+1, SUM(EF) WHERE B >= DATE '"&TEXT(TODAY()-180,"YYYY-MM-DD")&"' GROUP BY MONTH(B)+1 LABEL MONTH(B)+1 'Month', SUM(EF) 'Sales'")
This formula selects columns B, E, and F, calculates the product of columns E and F, sums the result by each month of order date, filters the results to the last 6 months using a dynamic date range, and labels the output as "Month" and "Sales".
=QUERY(A1:F, "SELECT MONTH(B)+1, SUM(EF) WHERE B >= DATE '"&TEXT(TODAY()-180,"YYYY-MM-DD")&"' GROUP BY MONTH(B)+1 LABEL MONTH(B)+1 'Month', SUM(EF) 'Sales'")
This formula selects columns B, E, and F, calculates the product of columns E and F, sums the result by each month of order date, filters the results to the last 6 months using a dynamic date range, and labels the output as "Month" and "Sales".
5. Use the QUERY formula to find the average price per item for each customer by running the following formula:
=QUERY(A1:F, "SELECT C, D, AVG(F) GROUP BY C, D LABEL AVG(F) 'Avg Price'")
This formula selects columns C, D, and F, calculates the average of column F, groups the result by each unique combination of columns C and D, and labels the output as "Avg Price".
Conclusion:
By using the QUERY formula in Google Sheets, you can easily analyze and manipulate large datasets to extract useful insights and answers to your business questions. This project demonstrates the power and versatility of the QUERY formula in performing various data analysis tasks.
=QUERY(A1:F, "SELECT C, D, AVG(F) GROUP BY C, D LABEL AVG(F) 'Avg Price'")
This formula selects columns C, D, and F, calculates the average of column F, groups the result by each unique combination of columns C and D, and labels the output as "Avg Price".
Conclusion:
By using the QUERY formula in Google Sheets, you can easily analyze and manipulate large datasets to extract useful insights and answers to your business questions. This project demonstrates the power and versatility of the QUERY formula in performing various data analysis tasks.
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