Sample Excel data table for practice with sales performance metrics.

Problem Description:

The provided Excel dataset contains sales data for two sales representatives, Ben and Jacob, over several days. The columns include details such as the date, sales representative, shift (Day/Night), cost price, selling price, profit percentage, commission, profit amount, and whether the day is a weekday or not. The task is to analyze this data and solve any specific problem related to it. Since no explicit problem is stated, I will infer a common analysis task: Calculate the total profit and average profit per sale for each sales representative.

---

Solution Approach:

1. Understand the Data Columns:
- Date: The date of the sale.
- Sales Rep: Name of the sales representative (Ben or Jacob).
- Shift: Whether the sale occurred during the Day or Night shift.
- Cost Price: The cost price of the item sold.
- Selling Price: The price at which the item was sold.
- Profit %: The profit percentage calculated as `((Selling Price - Cost Price) / Cost Price) * 100`.
- Commission: The commission earned by the sales representative (if applicable).
- Profit: The actual profit amount calculated as `Selling Price - Cost Price`.
- Weekday: Indicates whether the sale occurred on a weekday (1 for weekday, 5 for weekend).

2. Objective:
- Calculate the total profit for each sales representative.
- Calculate the average profit per sale for each sales representative.

3. Steps to Solve:
- Filter the data by each sales representative.
- Sum the `Profit` column for each sales representative to get the total profit.
- Count the number of sales for each sales representative.
- Calculate the average profit per sale as `Total Profit / Number of Sales`.

4. Implementation:
- Use Excel functions such as `SUMIF`, `COUNTIF`, and basic arithmetic to compute the required values.

---

Step-by-Step Calculation:

#### 1. Total Profit for Each Sales Representative
We use the `SUMIF` function to sum the `Profit` column based on the sales representative.

- Formula for Ben's Total Profit:
```
=SUMIF(B:B, "Ben", H:H)
```
- `B:B`: Column containing the sales representative names.
- `"Ben"`: Criteria to filter rows where the sales representative is Ben.
- `H:H`: Column containing the profit amounts.

- Formula for Jacob's Total Profit:
```
=SUMIF(B:B, "Jacob", H:H)
```

#### 2. Number of Sales for Each Sales Representative
We use the `COUNTIF` function to count the number of sales for each sales representative.

- Formula for Ben's Number of Sales:
```
=COUNTIF(B:B, "Ben")
```

- Formula for Jacob's Number of Sales:
```
=COUNTIF(B:B, "Jacob")
```

#### 3. Average Profit per Sale for Each Sales Representative
The average profit per sale is calculated as:
```
Average Profit = Total Profit / Number of Sales
```

- Formula for Ben's Average Profit:
```
=SUMIF(B:B, "Ben", H:H) / COUNTIF(B:B, "Ben")
```

- Formula for Jacob's Average Profit:
```
=SUMIF(B:B, "Jacob", H:H) / COUNTIF(B:B, "Jacob")
```

---

Results:

Using the above formulas, we can compute the following:

1. Total Profit:
- Ben: Sum of all profits where `Sales Rep = "Ben"`.
- Jacob: Sum of all profits where `Sales Rep = "Jacob"`.

2. Number of Sales:
- Ben: Count of rows where `Sales Rep = "Ben"`.
- Jacob: Count of rows where `Sales Rep = "Jacob"`.

3. Average Profit per Sale:
- Ben: `Total Profit for Ben / Number of Sales for Ben`.
- Jacob: `Total Profit for Jacob / Number of Sales for Jacob`.

---

Example Calculations (Based on Provided Data):

#### For Ben:
- Total Profit: Sum of all `Profit` values where `Sales Rep = "Ben"`.
- Assume the sum is $X$ (you would calculate this using the formula).
- Number of Sales: Count of rows where `Sales Rep = "Ben"`.
- Assume the count is $Y$.
- Average Profit: $ \frac{X}{Y} $.

#### For Jacob:
- Total Profit: Sum of all `Profit` values where `Sales Rep = "Jacob"`.
- Assume the sum is $Z$.
- Number of Sales: Count of rows where `Sales Rep = "Jacob"`.
- Assume the count is $W$.
- Average Profit: $ \frac{Z}{W} $.

---

Final Answer:

After performing the calculations in Excel, the results would be:

- Total Profit for Ben: $X$
- Total Profit for Jacob: $Z$
- Average Profit per Sale for Ben: $ \frac{X}{Y} $
- Average Profit per Sale for Jacob: $ \frac{Z}{W} $

If you provide the exact numerical values from the dataset, I can compute the precise numbers. Otherwise, the formulas above are the solution approach.

$$
\boxed{\text{Use the SUMIF and COUNTIF functions as described to compute the totals and averages.}}
$$