Marks Construction And Realty Buys And Flips Houses They Hav

Marks Construction And Realty Buys And Flips Houses They Have Hired

Marks Construction and Realty buys and flips houses. They have hired you to look at their sales numbers from last year to analyze the data. They have instructed you to see if there are any trends in the types of houses they typically purchase, if there is a correlation between the number of houses sold and sale date, and which sales should be included in the project managers’ year-end bonus.

Perform Preliminary Work You need to open the existing workbook they provided, save it with a new name, and make a few preliminary modifications. a. Open the e00_cumexam_data workbook and save the workbook as e00_cumexam_LastFirst . b. Change the width of column E to 15.00 . c. Insert a new row above row 1. d. Enter the text 2017 Sales Data in cell A1 , change the font size to 14 and apply bold . e. Add a fill color of Blue, Accent 1 for cell A1 . f. Merge and center the range A1:I1 . g. Freeze the headers so when you scroll down the headers are always visible. Calculate Profit and Determine if Project is Eligible for Bonus You are ready to calculate the total costs. h. Insert two columns after Sale Price named Total Cost and Profit respectively. i. Insert a function in cell H3 to calculated the total cost of each project. j. Insert a function in cell I3 to calculated the profit of each project. k. Create an IF statement in cell K3 where if the profit is greater than $50,000 it will display the text Yes , otherwise it will display the text No . l. Copy the three formulas down their respective columns. Organize Monthly Data The company has already collected data about how many of each type of house they sold each month. You will convert the data into a table, apply a table style to make the data more visually appealing, and add total rows for use in the analysis grids later. m. Click the Sheet2 worksheet and rename it Analysis . n. Convert the entire dataset into a new table named Date with a table style of Table Style Medium 6 . o. Calculate a total for each house type in column N. House Type Analysis You will analyze each house type to determine if the company has a tendency to purchase a certain type of a house. p. Create a 2D-Pie chart that displays the total number of houses by house type and apply chart type Style 7 . q. Move the chart to the left side of the screen directly under the table data. r. Change the chart title to House Type . s. Move the legend to the top-left corner. t. Explode the largest piece of the pie to a Point Explosion of 20% u. Add Data Callout data labels to the chart. Sales Analysis You will analyze the sales numbers across each month to determine in which months buyers tend to purchase houses. v. Calculate a new total row for each month. w. Create a 2D-Line chart that displays total house sales by Month and apply chart style Style 6 and move it to the right of the pie chart. x. Change the chart title to Total Sales y. Change the plotted line color to White, Background 1 . z. Add a column to the Date table after House Type called Sparkline . aa. Add a sparkline for each house type over the 12-month period in the new Sparkline column. Finalize the Workbook You will make some small formatting changes. bb. Set the page orientation to Landscape . cc. Insert a footer with your instructor’s name on the left side, the date in the center, and your Last,First name on the right side. dd. Save and close the workbook. Based on your instructor’s directions, submit e00_cumexam_LastFirst.

Paper For Above instruction

Marks Construction and Realty operates as a real estate business specializing in buying and flipping houses. They have tasked an analyst with examining their sales data from the previous year to identify trends, assess sales performance, and determine sales qualifying for bonuses. The comprehensive analysis involves data organization, visualization, and detailed calculations to support strategic decisions and incentivize sales excellence.

Data Preparation and Initial Formatting

The first step involves opening the provided workbook, 'e00_cumexam_data,' and saving it under a new name to preserve the original data. The worksheet should be adjusted for clarity with a column E width set to 15.00. Adding a professional title header involves inserting a row above the existing data, entering '2017 Sales Data' into cell A1, increasing the font size to 14, and applying bold formatting. Enhancing visibility and aesthetics, this header should have a fill color of Blue, Accent 1, and be merged across cells A1 to I1. The header row should be frozen to keep labels in view when scrolling through the data.

Calculating Costs, Profits, and Bonus Eligibility

Next, the worksheet requires enhancements to include cost analysis and bonus qualification indicators. Two new columns, 'Total Cost' and 'Profit,' are inserted immediately after the 'Sale Price' column. The total cost for each project is calculated by summing relevant cost components entered via functions in cell H3. Similarly, profit calculations are implemented in cell I3 by subtracting total costs from sale prices. To determine bonus eligibility, a logical IF formula in cell K3 flags projects with profits exceeding $50,000 with 'Yes'; otherwise, it displays 'No.' These formulas need to be copied down the respective columns to apply to all data entries.

Organizing Monthly Data into a Table

In analyzing sales over time, the monthly data regarding house types sold is converted into a structured table. This table, renamed 'Analysis,' uses 'Table Style Medium 6' for better readability and visual appeal. A total row is added at the bottom to sum quantities by house type, enabling straightforward assessment of volume trends.

House Type Analysis with Pie Chart

The analysis focuses on the distribution of house types purchased. A 2D pie chart is created to visualize the total number of houses for each type, with the style set to 'Style 7.' The chart is positioned beneath the data table, titled 'House Type,' with the legend moved to the top-left corner. The most significant segment of the pie, representing the predominant house type, is explosively highlighted by 20%. Data callout labels are added for clarity, displaying exact figures.

Monthly Sales Trends with Line Chart and Sparklines

To explore seasonal sale patterns, totals for each month are computed, and a 2D line chart depicts total house sales over 12 months. The chart employs 'Style 6,' positioned to the right of the pie chart. Its title is set to 'Total Sales,' and the line color is changed to White against a Background 1 theme. Additionally, a new column labeled 'Sparkline' is inserted after 'House Type' in the 'Analysis' table. Sparklines are added for each house type across the months to visually represent the sales trends, assisting in rapid pattern recognition.

Final Formatting and Report Submission

The working document undergoes final adjustments, including setting the page orientation to Landscape for presentation purposes. A footer is added that displays the instructor’s name on the left, the date at the center, and the user’s full name on the right, ensuring professional documentation. The completed workbook is saved, closed, and submitted as specified.

Conclusion

This comprehensive analysis enables Marks Construction and Realty to discern purchase tendencies, seasonal sales fluctuations, and high-performance sales figures. The visual representations and calculated insights facilitate strategic planning and motivate sales efforts through targeted bonuses. Effective data visualization and precise computational techniques exemplify the importance of rigorous data analysis in real estate operations.

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