Please Screenshot The Flowchart On Raptor The Attached File

Please Screenshot The Flowchart On Raptorthe Attached File Sales

Please Screenshot The Flowchart On Raptorthe Attached File Sales

PLEASE SCREENSHOT THE FLOWCHART ON RAPTOR!!!!!The attached file "sales.txt " contains records of sales, where each record consists of a sale timestamp and the sale value. Each record is stored on two consecutive lines with the timestamp in the first and the sale value ( i .e . dollar amount ) in the second. Develop a Raptor flowchart to find and display the sales whose dollar values are equal the third highest sale value. Hint: Store the timestamps and sale values in two separate arrays. Make sure that for any sale the timestamp and corresponding value are placed at the same index position of their corresponding arrays.

Paper For Above instruction

In this paper, we explore the development of a Raptor flowchart capable of processing sales data from a text file to identify and display sales matching the third highest sale value. The task involves reading data records—each containing a timestamp and a sale amount—storing them appropriately, determining the third highest sale value, and then filtering and displaying the sales that match this criterion.

Introduction

Processing sales data efficiently is crucial for businesses aiming to analyze performance metrics and identify significant sales figures. The use of flowcharts, especially in Raptor, facilitates visual algorithm representation, making complex tasks more manageable. The objective here is to develop a flowchart that reads sales data, determines the third highest sale, and displays sales at this level, which could provide insights into sales performance beyond just the top or average sales figures.

Reading and Storing Data

The first step involves reading the sales data stored in "sales.txt." Each record spans two lines with the timestamp on the first line and the sale value on the second. We need to read these lines iteratively until the end of the file, storing timestamps and sale values in two respective arrays. Ensuring that each timestamp and its corresponding sale value occupy the same index in their arrays maintains data integrity. Proper file handling routines in Raptor should be used, including opening, reading, and closing the file appropriately.

Finding the Third Highest Sale

To find the third highest sale value, the algorithm should iterate through the sale values array, tracking the three highest values in order. A common approach involves initializing three variables to hold the top three values—say, highest, second highest, and third highest—and updating them as each sale value is processed. Alternatively, sorting the array in descending order and selecting the third element is simpler; however, this involves additional computational steps or algorithms. This method assumes there are at least three sales; appropriate checks are necessary to handle edge cases.

Filtering and Displaying Matching Sales

After determining the third highest sale value, the algorithm should iterate through the sale values array to find all sales that match this value. For each matching sale, the corresponding timestamp is retrieved from the timestamp array, and both are displayed. This ensures users can see exactly which sales contributed to this sale level. Formatting the output for clarity and readability is recommended.

Flowchart Structure

The Raptor flowchart should include modules for file handling, data reading, comparison logic for finding the third highest value, and display routines. Loop structures should be used to process the data, with decision blocks to compare and update the top three sale values. The final output is a list of timestamps and sale values that are equal to the third highest sale.

Conclusion

Creating such a flowchart aids in automated sales analysis, providing quick insights into sales that are just below the top tier. This can be valuable for sales strategy adjustments or inventory planning. The process demonstrates fundamental programming concepts: file handling, array manipulation, comparison algorithms, and output formatting, which are essential skills in data processing and analysis tasks in Raptor and similar tools.

References

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