Applying SQL to a retail business: Single table queries

3. Product Amount Evaluation II

You’re working for a corporation that sources merchandise from numerous suppliers. Your process is to analyse the portions of the orders made. Retrieve a listing of all product orders and show solely their identification. Use the CustomerOrdersTabl desk.

Pattern resolution

Rationalization

This question is easy and retrieves each ProductID from the CustomerOrdersTabl desk, together with repeated values. It’s helpful as a result of a whole record of all merchandise ordered is required, together with what number of instances every product has been ordered, for subsequent evaluation or reporting.



4. Value Vary Evaluation

You’re employed for an internet market that provides a variety of merchandise. Your process is to analyse merchandise inside particular value ranges to help prospects to find merchandise that match their funds. Utilizing the CustomerProductTabl desk:
a. Retrieve a listing of merchandise which might be inexpensive for budget-conscious prospects (price below $1per product).
b. Discover merchandise that fall inside a average value vary (price between $2 and $5 per product).
c. Establish high-end merchandise that cater to prospects in search of premium gadgets (price over $6 per product).

Pattern resolution

Rationalization

a. This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these merchandise the place the fee is lower than 1.

b. This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk, filtering to incorporate solely merchandise whose price is between 2 and 5, inclusive.

c. This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters to incorporate solely merchandise with a price better than 6.

5. Customized Product Choice

You’re tasked with deciding on particular merchandise for a customized order primarily based on a listing of desired product IDs. Utilizing the CustomerProductTabl Desk, retrieve the small print of merchandise with particular product IDs (2, 567, and 89) to meet a customized order.

Pattern resolution

Rationalization

This question retrieves the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these merchandise whose ProductID matches one of many specified values: 2, 567, or 89.

6. Product Search by actual Title

You’re working for an e-commerce firm, and also you need to discover merchandise with a selected identify to help a buyer who’s in search of these gadgets. Your process is to retrieve product particulars for merchandise that match the particular identify offered by the client. Utilizing the
CustomerProductTabl desk, retrieve the small print of merchandise with a selected identify, reminiscent of “Instantaneous Digicam” or “Cellphone Stand”.

Pattern resolution

Rationalization

This question is especially helpful when seeking to extract details about particular merchandise by their descriptions. The question retrieves the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these merchandise whose ProductDescription is both ‘Instantaneous Digicam’ or ‘Cellphone Stand’.

7. Objects orders

You handle stock for an internet retailer and need to determine merchandise which were ordered by prospects. Your superior already has a information of 5 gadgets of a selected product that had been
ordered by prospects on a sure date. However you are actually tasked with retrieving the product particulars for the amount of things that had been ordered which on this case probably had different bought dates utilizing the CustomerOrdersTabl Desk.

Pattern resolution

Rationalization

This question retrieves the OrderID, CustomerID, ProductID, OrderQuantity, and OrderDate columns from the CustomerOrdersTabl desk. It filters the outcomes to exclude orders the place the OrderQuantity is precisely 5.

8. Product Search by Description

You’re working for an internet retailer, and also you need to help prospects to find merchandise that match sure descriptions. Your process is to retrieve product particulars for gadgets which have a selected key phrase of their product description. Utilizing the CustomerProductTabl desk, retrieve the small print of merchandise which have “Set” as a part of their product description.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these merchandise whose ProductDescription incorporates the phrase “Set” anyplace throughout the description.

9. Order Monitoring I

You’re managing an worker database for an internet retail retailer, and also you need to determine the staff whose wage haven’t entered on the payroll. Utilizing the Worker.Pay desk, retrieve the JobTitle, and IDs for these whose names haven’t appeared on the payroll.

Pattern resolution

Rationalization

This question selects the JobTitle and EmployeeID columns from the Pay desk. It filters the outcomes to incorporate solely these workers whose Wage is at the moment NULL, which means their wage info is lacking or has not been recorded.

10. Order Monitoring II

You’re managing an worker database for an internet retail retailer, and also you need to determine solely these workers whose wage have been entered on the payroll. Utilizing the Worker.Pay desk, retrieve the JobTitle, and IDs for these whose names have appeared on the payroll.

Pattern resolution

Rationalization

This question selects the JobTitle and EmployeeID columns from the Pay desk. It filters the outcomes to incorporate solely these workers whose Wage isn’t NULL, which means their wage info is accessible and has been recorded.

11. Value Existence Examine (utilizing EXISTS)

You’re managing an e-commerce platform and need to decide if there are merchandise with a selected value worth within the CustomerProductTabl desk. Your process is to test if there are merchandise with a value above $6.

Pattern resolution

Rationalization

This question selects the Price column from the CustomerProductTabl desk. It makes use of a subquery throughout the EXISTS clause to test if there are any information in the identical desk the place the Price is larger than 6. If such information exist, the outer question will return the Price for all rows within the CustomerProductTabl desk.

12. Value Threshold Examine (with ALL)

You’re managing an e-commerce platform and need to decide if all merchandise have costs exceeding a sure threshold within the “CustomerProductTabl Desk.” Your process is to test if all merchandise have price better than $4.

Pattern resolution

Rationalization

This question retrieves all columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these rows the place the Price is larger than all the prices returned by a subquery. The subquery returns the prices of merchandise which have a price lower than 4.

13. Value Threshold Examine (with ANY)

You’re managing an e-commerce platform and need to decide if there’s no less than one product with a value exceeding a sure threshold within the “Merchandise Desk.” Your process is to test if there’s any product with a value better than $4.

Pattern resolution

Rationalization

It is a relatively broad question, the place the situation is met so long as a single product in all the desk prices greater than 4, whatever the particular price of different merchandise. It retrieves all columns from the CustomerProductTabl desk. It then makes use of a subquery to filter the outcomes and returns solely these rows the place the quantity 4 is lower than any of the prices discovered within the desk. In different phrases, the question checks if there may be no less than one product within the desk with a price better than 4. If such a product exists, it returns all rows from the desk.

14. Complete Revenue Threshold Calculation and Filtering

You’re managing worker payroll information, and also you need to calculate the overall revenue (Wage +Bonus) for all workers and filter those that have a complete revenue exceeding a sure threshold. Your process is to calculate the overall revenue and retrieve Worker IDs, Job Titles, and the calculated Complete Incomes for workers whose whole month-to-month revenue exceeds $3,000. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, and a calculated subject (Wage + Bonus) labeled as TotalIncome from the Pay desk. It filters the outcomes to incorporate solely these workers whose mixed Wage and Bonus exceed 3000.



15. Hourly Price Threshold Calculation and Filtering

You’re managing worker payroll information within the, and also you need to calculate a threshold worth for hourly fee by multiplying it by 100 and filter workers whose calculated threshold exceeds a predefined restrict. Your process is to calculate the edge and retrieve Worker IDs, Job Titles, Hourly Charges, and the calculated Thresholds for workers whose threshold exceeds $1,500. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, HourlyRate, and a calculated subject (HourlyRate * 100) labeled as Threshold from the Pay desk. It filters the outcomes to incorporate solely these workers whose calculated Threshold worth, primarily based on multiplying their hourly fee by 100, exceeds 1500.

16. Value Vary Product Itemizing

You handle an internet market and need to present customers with a product itemizing sorted by value vary. Your process is to retrieve a listing of merchandise with their product descriptions and costs, sorted in ascending order of price utilizing the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It then orders the outcomes by the Price column in ascending order, which means from the bottom price to the very best.

17. Costly Product Itemizing

Persevering with with the web market instance, you now need to present customers with a product itemizing sorted by descending value order. Your process is to retrieve a listing of merchandise with their product descriptions and value, sorted in descending order of price utilizing the
CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It then orders the outcomes by the Price column in descending order, which means from the very best price to the bottom.

18. Low-Price Product Itemizing

You need to create a listing of low-cost merchandise obtainable in your on-line retailer. Your process is to retrieve a listing of merchandise with their descriptions and costs, sorted by ascending value. You additionally need to restrict the record to merchandise with price below $6. Use the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these merchandise whose Price is lower than 6. After filtering, the outcomes are sorted by the Price column in ascending order, which means from the bottom price to the very best.

19. Excessive-Price Product Itemizing

You need to present prospects with a listing of high-cost merchandise obtainable in your on-line retailer. Your process is to retrieve a listing of merchandise with their descriptions and costs, sorted by descending value. You additionally need to restrict the record to merchandise with costs above $3. Use the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these merchandise whose Price is larger than 3. After filtering, the outcomes are sorted by the Price column in descending order, which means from the very best price to the bottom.

20. Reasonably priced Merchandise with Alphabetical Order

You need to create a listing of inexpensive merchandise obtainable in your on-line retailer, sorted by their product descriptions in ascending alphabetical order. Your process is to retrieve a listing of merchandise
with their descriptions and prices, sorted by ascending product description. You additionally need to restrict the record to merchandise with costs below $5. Use the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these merchandise whose Price is lower than 5. After filtering, the outcomes are sorted alphabetically by the ProductDescription column in ascending order.

21. Reasonably priced Merchandise with Reverse Alphabetical Order

You need to create a listing of inexpensive merchandise obtainable in your on-line retailer, sorted by their product descriptions in descending alphabetical order. Your process is to retrieve a listing of merchandise with their descriptions and costs, sorted by descending product description. You additionally need to restrict the record to merchandise with costs below $5. Use the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It filters the outcomes to incorporate solely these merchandise whose Price is lower than 5. After filtering, the outcomes are sorted by the ProductDescription column in descending order, which means the descriptions will likely be listed from Z to A.

22. Worker Efficiency Rating

You’re managing an HR database for a corporation and need to generate a efficiency rating report for workers. You need to order the staff first by their Job title in ascending order after which by their wage in descending order inside every division. Your process is to retrieve worker particulars, together with their IDs, Job title, and salaries, sorted based on these standards. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, and Wage columns from the Pay desk. The outcomes are ordered first by the JobTitle in ascending alphabetical order after which, inside every job title group, by Wage in descending order.

23. Excessive-Wage Workers in Particular Roles

You’re managing an HR database for a corporation and need to generate a report on high-salary workers with particular job titles. You need to order the staff first by their roles after which by their wage inside every division. Your process is to retrieve worker particulars, together with their IDs, Job titles (particularly Salesman and Shipper), Rent date and salaries. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the EmployeePayID, JobTitle, Hiredate, and Wage columns from the Pay desk. It filters the outcomes to incorporate solely these workers whose job title is both ‘Salesman’ or ‘Shipper’. The outcomes are then ordered first by JobTitle after which by Wage in ascending order.

24. Balanced Product Show

You’re managing an internet retailer’s product show and need to present a balanced presentation of merchandise. You need to retrieve a listing of merchandise ordered first by their description in ascending
order after which by their value in ascending order as effectively. Your process is to retrieve product particulars, together with IDs, description, and costs, sorted based on these standards. Use the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk throughout the CustomerTab schema. It orders the outcomes primarily based on the second and third columns of the choice record, which correspond to ProductDescription and Price, respectively.

25. Product Stock Reorder

You’re managing stock for an e-commerce firm and need to generate a reorder record for merchandise. You need to prioritise merchandise first by their description in descending order after which by their unit price in ascending order. Your process is to retrieve product particulars, together with IDs, description, and value, sorted based on these standards. Use the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, ProductDescription, and Price columns from the CustomerProductTabl desk. It retrieves all of the information within the desk with out making use of any filtering or sorting.


(Depend, Sum, Common, Min, Max)


26. Worker Payroll Evaluation

You’re managing worker payroll information and have to carry out numerous counts to analyse the dataset. Your process is to rely the next:

  1. The whole variety of workers, which is equal to counting the EmployeeID column.
  2. The variety of distinct job titles within the organisation.
  3. The whole variety of salaries information obtainable within the desk.
  4. The whole variety of rows within the Worker desk.

Pattern resolution

Rationalization

a. This question counts the variety of non-null EmployeeID entries within the Pay desk. The result’s labeled as Worker.

b. This question counts the variety of distinctive job titles within the Pay desk.

c. This question counts the variety of non-null Wage entries within the Pay desk. The result’s labeled as TotalSalaries.

d. This question counts the overall variety of rows within the Pay desk. The result’s labeled as TotalRows.

27. Complete Wage Calculation

You’re managing worker payroll information, and it’s worthwhile to calculate the overall sum of all salaries to grasp the organisation’s payroll bills. Your process is to calculate the sum of all salaries within the “Worker.Pay” desk.

Pattern resolution

Rationalization

This question calculates the overall sum of all Wage values within the Pay desk. The result’s labeled as TotalSalaries.

28. Common Wage Calculation

You’re managing worker payroll information, and it’s worthwhile to calculate the common of all salaries to grasp the organisation’s payroll bills. Your process is to calculate the sum of all salaries within the “Worker.Pay” desk.

Pattern resolution

Rationalization

This question calculates the common (imply) of all Wage values within the Pay desk. The result’s labeled as TotalSalaries.

29. Wage Evaluation

You’re managing worker payroll information and have to analyse the wage info to your workers. Your process is to search out the next:

  1. The minimal wage amongst all workers.
  2. The utmost wage amongst all workers.

Pattern Answer

Rationalization

a. This question retrieves the minimal Wage worth from the Pay desk. The result’s labeled as MinimumSalary.

b. This question retrieves the utmost Wage worth from the Pay desk. The result’s labeled as MaximumSalary.

30. Complete Compensation Calculation

You’re managing worker payroll information and it’s worthwhile to calculate the overall compensation for every worker. Complete compensation contains the sum of Wage and Bonus for every worker. Your process is to calculate the overall compensation for every worker and discover the common whole compensation for all workers.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, Wage, and Bonus columns from the Pay desk. It additionally calculates the overall compensation for every worker by summing their Wage and Bonus, labeling the consequence as TotalCompensation.



31. Worker Metropolis Evaluation

You’re managing worker information and also you need to analyse the distribution of workers throughout totally different cities. Your process is to record the distinctive combos of EmployeeID and Metropolis to find out which workers are in every metropolis. Use the Worker.Worker desk.

Pattern resolution

Rationalization

This question selects the EmployeeID and Metropolis columns from the Worker desk. It teams the outcomes by each EmployeeID and Metropolis, which is required for utilizing the GROUP BY clause in SQL when deciding on columns that aren’t being aggregated.

32. Worker Wage Grouping

You’re managing worker payroll information, and also you need to analyse the distribution of worker salaries whereas additionally exhibiting the overall wage for every worker. Your process is to calculate the overall wage for every worker and record the distinctive combos of Wage and EmployeeID to grasp how salaries are distributed amongst workers. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the EmployeeID and calculates the sum of Wage values grouped by Wage and EmployeeID from the Pay desk. The results of the sum is labeled as TotalSalary.

33. Worker Metropolis Inhabitants Evaluation

You’re managing worker information, and also you need to analyse the inhabitants of workers in numerous cities. Your process is to rely the variety of workers in every metropolis and record the cities together with their respective worker counts. Use the Worker.Worker desk.

Pattern resolution

Rationalization

This question selects the Metropolis column from the Worker desk and counts the variety of workers in every metropolis. The rely of workers is labeled as EmployeeCount.

34. Worker Metropolis Inhabitants Evaluation I (with
Sorting)

You’re managing worker information and also you need to analyse the inhabitants of workers in numerous cities. Your process is to rely the variety of workers in every metropolis, record the cities together with their respective worker counts, and type the ends in descending order of worker counts. Use the Worker.Worker desk.

Pattern resolution

Rationalization

This question selects the Metropolis column from the Worker desk and counts the variety of workers in every metropolis. It teams the outcomes by metropolis and orders the cities by the rely of workers in descending order, so cities with the very best variety of workers seem first. The rely of workers is labeled as EmployeeCount.

35. Worker Metropolis Inhabitants Evaluation II

Following on from query 34, you’re managing worker information and also you need to analyse the inhabitants of workers in numerous cities. Your process is to rely the variety of workers in every metropolis, record the cities together with their respective worker counts, and type the outcomes by a number of columns utilizing numbers in any sorting order.

Pattern resolution

Rationalization

This question selects the Metropolis column from the Worker desk and counts the variety of workers in every metropolis. It teams the outcomes by metropolis and orders the outcomes first by town identify in ascending alphabetical order after which by the worker rely in ascending order. The rely of workers is labeled as EmployeeCount.



36. Worker Compensation Evaluation and Wage Filtering for Payroll Administration

You’re managing worker payroll information desk, and also you need to analyse the distribution of worker whole compensation whereas additionally filtering out particular teams of workers primarily based on wage situations. Your process is to: Calculate the overall compensation (wage plus bonus) for every worker, record the distinctive combos of Wage and EmployeeID to grasp how salaries are distributed amongst workers and filter out workers whose whole revenue is above or equal to $3000.

Pattern resolution

Rationalization

This question selects the EmployeeID from the Pay desk and calculates the overall compensation for every worker by summing their Wage and Bonus. The outcomes are grouped by EmployeeID, and solely these workers whose whole compensation is lower than or equal to 3000 are included within the consequence set. The whole compensation is labeled as TotalCompensation.

37. Metropolis-wise Worker Inhabitants Evaluation and Filtering I

You’re managing worker information, and also you need to analyse the inhabitants of workers in numerous cities. Your process is to rely the variety of workers in every metropolis, record the cities together with their respective worker counts, filter out cities with greater than 3 workers, and type the outcomes by the variety of workers in descending order.

Pattern resolution

Rationalization

This question selects the Metropolis column from the Worker desk and counts the variety of workers in every metropolis. It teams the outcomes by metropolis and filters to incorporate solely these cities which have 3 or fewer workers. The cities are then ordered by the worker rely in descending order, so cities with the very best counts (as much as 3) seem first. The rely of workers is labeled as EmployeeCount.

38. Metropolis-wise Worker Inhabitants Evaluation and Filtering II

Following on from query 38, you’re managing worker information, and also you need to analyse the inhabitants of workers in numerous cities. Your process is to rely the variety of workers in every metropolis, record the cities together with their respective worker counts, filter out cities with greater than 3 workers, and type the outcomes by a number of columns utilizing numbers in any sorting order.

Pattern resolution

Rationalization

This question selects the Metropolis column from the Worker desk and counts the variety of workers in every metropolis. It teams the outcomes by metropolis and filters to incorporate solely these cities which have 3 or fewer workers. The outcomes are then ordered first by the worker rely after which by town identify. The rely of workers is labeled as EmployeeCount.



39. Worker Full Title Concatenation

You’re managing worker information, and also you need to create a report that shows the total names of workers by concatenating their first names and final names. Your process is to generate a listing of worker IDs together with their full names. Use the Employeee.Worker desk.

Pattern resolution

Rationalization

This question selects the EmployeeID and creates a full identify for every worker by concatenating their FirstName and LastName with an area in between. The result’s labeled as FullName. The information is retrieved from the Worker desk throughout the Worker schema.



40. Defending Cellphone Quantity Privateness

You’re managing worker information within the “Worker” desk, and also you need to defend the privateness of telephone numbers by changing the final 4 digits of every telephone quantity with ‘xxx’ for safety causes. Your process is to create a report that shows the telephone numbers ‘xxx’ for all workers.

Pattern resolution

Rationalization

This question selects the EmployeeID, LastName, FirstName, and a modified model of the Cellphone column from the Worker desk throughout the Worker schema. The TRANSLATE() operate is used to switch every digit within the telephone quantity with an ‘x’, successfully masking the telephone quantity for privateness. The masked telephone quantity is labeled as ProtectedPhone.



41. Title Uppercase Conversion

You’re managing worker information, and also you need to convert the final names and first names of workers to uppercase for uniformity in your reviews. Your process is to create a report that shows the worker info with uppercase final names and first names.

Pattern resolution

Rationalization

This question selects the EmployeeID, converts the LastName and FirstName to uppercase, and in addition retrieves EmployeeAddress, Metropolis, PostCode, and Cellphone from the Worker desk. The uppercase conversions are labeled as UppercaseLastName and UppercaseFirstName for readability.



You’re managing worker information, and also you need to extract a portion of the telephone numbers for a report. Your process is to create a report that shows a substring of the telephone numbers, ranging from the sixth character, with a size of 4 characters. Use the Worker.Worker desk.

Pattern resolution

Rationalization

This question selects the EmployeeID, LastName, FirstName, and a selected substring of the Cellphone quantity from the Worker desk. The question extracts a portion of the telephone quantity beginning on the sixth character and persevering with for 4 characters. This extracted substring is labeled as ExtractedPhoneSubstring.



43. Handle Cleanup

You’re managing worker information, and also you’ve seen that some addresses have main or trailing areas that must be eliminated for consistency. Your process is to create a report that shows worker info with cleaned and trimmed worker addresses.

Pattern resolution

Rationalization

This question selects the EmployeeID, LastName, FirstName, Metropolis, PostCode, and Cellphone columns from the Worker desk. It additionally cleans up the EmployeeAddress by eradicating any main and trailing areas, utilizing the LTRIM() and RTRIM() features, and labels the cleaned deal with as CleanedAddress.



44. Title Size Calculation

You’re managing worker information, and it’s worthwhile to decide the size of each the final names and first names of workers for reporting functions. Your process is to create a report that shows the worker IDs together with the lengths of their final names and first names. Use Worker.Worker desk.

Pattern resolution

Rationalization

This question selects the EmployeeID from the Worker desk and calculates the size of the LastName and FirstName for every worker. The lengths of the final and first names are labeled as LastNameLength and FirstNameLength, respectively.



45. Worker Compensation Calculation

You’re managing worker compensation information which incorporates details about hourly pay, wage, and bonuses. Your process is to create a report that calculates the overall compensation for every worker, contemplating all doable compensation parts, and deal with NULL values gracefully. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, and HireDate from the Pay desk. It calculates the TotalCompensation for every worker by summing the HourlyRate, Wage, and Bonus fields. The COALESCE() operate is used to switch any NULL values in these fields with 0 to make sure correct calculations.



46. Cellphone Quantity Formatting

You’re managing worker information, and it’s worthwhile to format the “Cellphone” column to make sure that all telephone numbers have a constant size of 15 characters by including trailing areas the place wanted. That is important for information consistency and reporting functions. Use the Worker.Worker desk.

Pattern resolution

Rationalization

This question selects the EmployeeID, LastName, FirstName, EmployeeAddress, Metropolis, and PostCode from the Worker desk. It additionally codecs the Cellphone quantity to make sure it has a set size of 15 characters by padding with hyphens (-) if essential. The formatted telephone quantity is labeled as FormattedPhone.

47. Product Description Formatting

You’re managing product information within the “Product” desk, and it’s worthwhile to format the “ProductDescription” column to make sure that all product descriptions have a constant size by including dots or durations on the finish. That is helpful for making a uniform show of product descriptions. Use the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID, a formatted model of the ProductDescription, and Price from the CustomerProductTabl desk. The ProductDescription is formatted to make sure it’s 30 characters lengthy, utilizing dots (.) for padding if essential. The formatted product description is labeled as FormattedProductDescription.



48. Value Conversion

You’re managing product information, and the “Price” column is at the moment saved as strings or cash. You must convert the “Price” column to a numeric information sort (e.g., DECIMAL or FLOAT) to carry out correct calculations and comparisons primarily based on price. Your objective is to transform the costs for all merchandise. Use the CustomerProductTabl desk.

Pattern resolution

Rationalization

This question selects the ProductID and ProductDescription columns from the CustomerProductTabl desk. It converts the Price column right into a decimal quantity with two decimal locations, offering a extra exact illustration of the product value. The transformed price is labeled as ConvertedPrice.



49. Worker Knowledge Transformation for Reporting

You’re managing worker information, and it’s worthwhile to carry out information transformations on the names and telephone numbers for reporting functions. Particularly, you need to: Create a brand new column known as “FullName” that concatenates the “FirstName” and “LastName” columns with an area in between. Format the “Cellphone” column to separate the numbers with dashes (e.g., “555-555-1234”). Use the Worker.Worker desk.

Pattern resolution

Rationalization

This question selects the EmployeeID from the Worker desk. It constructs a full identify for every worker by concatenating their FirstName and LastName with an area in between, and codecs the Cellphone quantity into an ordinary format (XXX-XXX-XXXX). The complete identify is labeled as FullName, and the formatted telephone quantity is labeled as FormattedPhone.


(With CASE-WHEN-THEN-ELSE situations)


50. Years of Service Calculation

You’re managing worker information, and it’s worthwhile to calculate the years of service for every worker primarily based on their “HireDate” and “LastDate.” You need to determine workers who’ve labored for the corporate for a sure variety of years. Use the Worker.Pay desk. Calculate the years of service for every worker primarily based and Establish workers who’ve labored for the corporate for no less than 7 years.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, HireDate, and LastDate from the Pay desk. It calculates the variety of years of service every worker has, utilizing the distinction between HireDate and LastDate. The calculation is labeled as YearsOfService. The question then filters the outcomes to incorporate solely these workers who’ve no less than 7 years of service and had been employed between the years 2001 and 2009, with a final working date between 2011 and 2012.

51. Worker Wage Projection

You’re managing worker information, and it’s worthwhile to mission the potential future salaries of workers primarily based on their present wage, bonus, and a wage enhance fee. Workers are eligible for a wage enhance if they’ve been with the corporate for no less than 2 years and their Final Date is between 2011 and 2012. The wage enhance fee is 5%.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, HireDate, LastDate, Wage (labeled as CurrentSalary), and Bonus from the Pay desk. It calculates a FutureSalary primarily based on sure situations: if an worker has been employed for no less than 2 years and their final working date is between 2011 and 2012, they obtain a 5% wage enhance. In any other case, their wage stays unchanged.

52. Efficiency Bonus Calculation

You handle worker information, and it’s worthwhile to calculate efficiency bonuses for workers primarily based on their job titles and wage. Workers with the job title “Supervisor” are eligible for a ten% bonus on their present wage, whereas different workers obtain a 5% bonus on their wage. Nonetheless, the bonus ought to solely be calculated for workers whose final date is between 2011 and 2012.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, Wage (labeled as CurrentSalary), and Bonus (labeled as CurrentBonus) from the Pay desk. It calculates a PerformanceBonus primarily based on the worker’s job title: Managers obtain a ten% bonus of their wage, whereas different workers obtain a 5% bonus. The question filters the outcomes to incorporate solely these workers whose LastDate is between the years 2011 and 2012.

53. Efficiency Bonus Calculation

Nonetheless following on from the earlier query, you handle worker information and have to calculate bonuses for workers primarily based on their job titles, wage, and the present month. Workers with the job title “Supervisor” obtain a ten% bonus on their present wage if the present month is January. For different workers, if the present month is July, they obtain a 7% bonus on their wage. In any other case, workers obtain an ordinary 5% bonus on their wage.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, Wage (labeled as CurrentSalary), and Bonus (labeled as CurrentBonus) from the Pay desk. It calculates a PerformanceBonus primarily based on the present month and the worker’s job title:

  • Managers obtain a ten% bonus if the present month is January.
  • Non-managers obtain a 7% bonus if the present month is July.
  • In all different instances, a 5% bonus is utilized.

54. Worker Wage Adjustment

You handle worker information, and it’s worthwhile to calculate and replace salaries for workers primarily based on their job titles and years of service. Workers with the job title “Salesman” are eligible for a ten% wage enhance if they’ve been with the corporate for greater than 5 years. Workers with the job title “Shipper” obtain a 5% wage enhance if they’ve been with the corporate for greater than 3 years. For all different workers, no wage adjustment is made.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, HireDate, and Wage (labeled as OriginalSalary) from the Pay desk. It calculates an AdjustedSalary primarily based on the worker’s job title and their size of service:

  • Salesmen who’ve been employed for greater than 5 years obtain a ten% wage enhance.
  • Shippers who’ve been employed for greater than 3 years obtain a 5% wage enhance.
  • All different workers have their salaries stay unchanged.

55. Time beyond regulation Pay Calculation

You handle worker information, and it’s worthwhile to calculate additional time pay for workers who’ve labored greater than 40 hours per week. Workers are paid their hourly fee for the primary 40 hours and 1.5 instances their hourly fee for any extra hours labored past 40 hours in per week. Calculate and replace the “Wage” column for workers to incorporate additional time pay primarily based on their weekly hours labored.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, HireDate, HourlyRate, and LastDate from the Pay desk. It calculates a CalculatedSalary primarily based on hourly fee and weeks labored. If an worker is paid hourly and has been employed for a couple of week, their wage is calculated utilizing each common and additional time charges. In any other case, the common wage is used.

56. Trip Days Calculation

In your organisation, workers accrue trip days primarily based on their years of service. Workers with lower than 5 years of service obtain 10 trip days per 12 months, and workers with 5 or extra years of service obtain 15 trip days per 12 months. Calculate and show the variety of trip days accrued by every worker primarily based on their years of service assuming they’re nonetheless in employment up until at the moment’s date. Workers with lower than 5 years of service obtain 10 trip days per 12 months, and workers with 5 or extra years of service obtain 15 trip days per 12 months. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, and HireDate from the Pay desk. It calculates the variety of YearsOfService for every worker primarily based on their rent date. Relying on the variety of years of service, it determines the variety of VacationDaysAccrued:

  • Workers with lower than 5 years of service accrue 10 trip days.
  • Workers with 5 or extra years of service accrue 15 trip days.

57. Retirement Eligibility Calculation

In your organisation, workers are eligible for retirement after they attain a sure variety of years of service. You must decide which workers are eligible for retirement primarily based on their rent dates. Establish and show the staff who’re eligible for retirement primarily based on reaching service years of 20 years or extra.

Pattern resolution

Rationalization

This question selects the EmployeeID, JobTitle, and HireDate from the Pay desk. It calculates the variety of YearsOfService for every worker primarily based on their rent date. Relying on the variety of years of service, it assigns a RetirementStatus:

  • Workers with 20 or extra years of service are marked as ‘Eligible for Retirement’.
  • Workers with lower than 20 years of service are marked as ‘Not Eligible for Retirement’.

58. Date Conversion for Reporting

In your organisation, it’s worthwhile to generate a report that features the worker’s rent date and final working date in a selected date format for reporting functions. The required date format is “YYYY-MM-DD. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the EmployeeID and JobTitle from the Pay desk. It converts the HireDate and LastDate columns into a selected string format (yyyy-mm-dd) and labels them as HireDateFormatted and LastDateFormatted, respectively. The CONVERT() operate is used for this formatting.

59. Worker Anniversary Recognition

In your organisation, you need to generate a report back to recognise workers’ work anniversaries. The report ought to embody the worker’s job title and a message congratulating them on their work anniversary. The message ought to specify the variety of years they’ve been with the corporate. Use the Worker.Pay desk.

Pattern resolution

Rationalization

This question selects the JobTitle from the Pay desk. It generates a personalised work anniversary message for every worker by concatenating their job title and the variety of years they’ve been with the corporate. The message is labeled as AnniversaryMessage.

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