Formulas 101: Phone Calls, Leads, And Sales Per Call

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Populate column E to calculate Leads per Call (column C divided by column B), and double click the lower-right corner of the cell to apply the formula down to all rows.

Drag the formula from cell E2 to F2. Is "Sales per Call" being calculated properly? Use the shortcut F2 to check which cells are being referenced by the formula, and try using the Trace Precedents option in the Formula tab to do the same.

Return to the formula in column E and update your reference types (using the F4 shortcut) to make sure the calculation always reads from column B, then drag the formula to column F and apply to all rows.

Populate column D to return "PASS" if the score in column C is greater than or equal to 60, otherwise return "FAIL".

Populate column E to return a letter grade based on the score in column C, using the following logic: A = >=90, B = 80-89, C = 70-79, D = 60-69, F =

Populate column F to return "OUTLIER" if the score in column C is either less than 60 or greater than 90, otherwise return "AVG".

Populate column G to return "Male Achiever" if Gender = M and the score in column C is greater than 95, "Female Achiever" if Gender = F and the score in column C is greater than 95, otherwise "None".

Use SUMIF to populate cell H5, which calculates the Total Sales based on the product category in cell H2.

Use SUMIFS formulas to populate Total Sales and Total Revenue in the table above, based on the store location in column G and the product type in cell H2.

Use a COUNTIFS formula to calculate the number of Product IDs by store location and product type.

Use VLOOKUP to populate the State Abbreviation field using data from the "State Abbreviations" tab.

Use VLOOKUP to populate Per Capita Income using data from the "State Income ()" tab (you may need to add a new field).

Change errors in the Per Capita Income column to display "NO INCOME DATA" rather than #N/A.

Use the LEFT function to populate the Product ID column, equal to the first six characters of the Product Key in column A.

Update the Product ID formula to combine LEFT and SEARCH functions, allowing you to return all characters to the left of the first "-" in the Product Key.

Populate the Product Category column in column D using MID and SEARCH, to return the two characters immediately following the first "-" in the Product Key.

Populate Product Size using IF, ISNUMBER, and SEARCH functions, based on the following logic: If Key includes "SMALL", Size = Small; "MEDIUM" = Medium; "LARGE" = Large; "XL" = XL.

Write a formula in column F to pull all characters from the right of the Product Key following the underscore ("_") (use RIGHT, LEN, and SEARCH).

Extract the city name ("BOS", "NYC", or "CHI"), which follows the second dash in the Product Key. Start by creating a new version of the product key in column G, substituting a pipe ("|") in place of the second dash. Then write a function in column H to return the 3 characters after the pipe.

Use the TODAY and NOW functions to populate cells C3 and C4.

Populate the Year, Month, Day, Hour, Minute, and Second in row 7 based on the current time.

Calculate the current day of the week using the WEEKDAY formula, then format the cell to display the full day name.

Use the WORKDAY function to determine the date 50 days from now, excluding weekends.

Use NETWORKDAYS to count workdays between the date in cell C2 and the current date.

Use EOMONTH to determine the last day of the current month, the first day of the current month, and the first day of the current year.

Drag the date in cell B19 down to row 30 and test series filling by day, weekday, month, and year.

Format the Revenue column as currency with no decimal places, and apply the same to related columns. Format the Profit Margin as a percent with 1 decimal place.

Add conditional formatting for a color scale on Profit Margin (low=red, high=green), and directional arrows on Revenue Change (>200 up,

Create a formula-based formatting rule to bold, dark red text, and light red fill for dates in column A when profit margin

Paper For Above instruction

The provided dataset and instructions encompass a comprehensive array of Excel functions, formulas, and formatting techniques applicable across multiple business analytics scenarios. These operations include calculating ratios, performing lookups, manipulating text, handling dates, and applying conditional formatting. The overarching objective is to demonstrate proficiency in data analysis, formula accuracy, and presentation clarity, ultimately supporting informed decision-making in a business context.

Firstly, calculating Leads per Call (column E) involves dividing the number of leads (column C) by the total phone calls (column B). Implementing this formula across all rows necessitates copying the formula downward, ensuring relative or absolute references are correctly set to maintain data accuracy. To verify "Sales per Call" (column F) calculations, the F2 cell's formula can be examined by pressing F2. Using the Trace Precedents feature clarifies which cells influence the calculation, ensuring the formula correctly references data points like calls or leads.

Adjusting cell references with F4 allows toggling between relative and absolute referencing, which safeguards the formula from shifting during drag operations. This practice guarantees that the calculations consistently refer to the intended data columns, preserving data integrity throughout the spreadsheet.

For the student performance data, the logical IF function should populate "PASS" or "FAIL" based on scores. Subsequently, nested IF statements can determine letter grades according to defined score ranges. The OUTLIER category is assigned when scores are out of a typical range (>90 or

Summation of sales data per category or store location utilizes SUMIF and SUMIFS functions, which aggregate data based on specified criteria. These formulas rely on referencing correct data ranges and criteria cells, often involving cell references as variables for dynamic calculations. Similarly, COUNTIFS tallies the number of product IDs within specific store and category combinations, exemplifying multi-criteria counting.

Lookup functions like VLOOKUP retrieve state abbreviations and per capita income from separate tabs, facilitating comprehensive data enrichment. Updating erroneous #N/A errors to display custom messages like "NO INCOME DATA" enhances the spreadsheet's clarity and usability. This involves wrapping VLOOKUP functions with IFERROR to customize error handling.

Text functions such as LEFT, MID, RIGHT, SEARCH, and SUBSTITUTE parse complex product keys, extracting specific components such as product ID, category, size, and city code. Combining functions like LEFT with SEARCH helps dynamically extract substrings based on delimiter positions. For instance, identifying the position of "-" or "_" enables slicing the string accordingly.

Date and time functions, including TODAY, NOW, WEEKDAY, WORKDAY, NETWORKDAYS, and EOMONTH, facilitate dynamic date calculations. These functions support operations like computing future dates excluding weekends, counting workdays, and identifying month or year boundaries. Proper formatting (e.g., custom date formats) enhances readability and informational clarity.

Applying cell formatting to data, such as currency or percentage formats, along with conditional formatting rules, visually emphasizes key metrics. Color scales and icon sets communicate data ranges and trends effectively. Conditional rules based on formula logic can change font styles, cell colors, or add icons based on thresholds like profit margins or specific categories, aiding rapid data interpretation.

In conclusion, mastering these Excel techniques enables analysts to manipulate complex datasets efficiently, generate insightful reports, and present data in a manner conducive to strategic decision-making. Proper formula structuring, error handling, and visual formatting are essential skills in the data-driven landscape, underpinning accurate analysis and impactful presentation.

References

  • Jelen, B., & Jelen, M. (2015). Microsoft Excel Data Analysis and Business Modeling. Pearson Education.
  • Walkenbach, J. (2014). Excel Bible. Wiley Publishing.
  • Excel Easy. (2023). Excel Functions and Formulas. Retrieved from https://www.excel-easy.com
  • Microsoft Support. (2023). Excel formulas and functions. Retrieved from https://support.microsoft.com/en-us/excel
  • Chan, T. (2018). Advanced Excel Formulas and Functions. Academic Press.
  • Janssen, D., & Van Der Heijden, J. (2020). Effective Data Visualization in Excel. Springer.
  • ExcelJet. (2023). Excel Functions and Formulas. Retrieved from https://exceljet.net
  • Chandoo.org. (2023). Excel Tips & Tricks. Retrieved from https://chandoo.org/wp
  • Laudon, K. C., & Traver, C. G. (2016). E-commerce 2016: Business, Technology, Society. Pearson.
  • Hoffman, S., & Pijnappels, P. (2019). Optimizing Business Data Analysis with Excel. McGraw-Hill Education.

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