You want to count the number of houses in one city. In cell C2, insert the COUNTIF function to count the number of houses in the city of Alpine. Use mixed references for the range; and use a relative reference to cell A2. Copy the function and use the Paste Formulas option to paste the function in the range C3:C5 so that the border in cell C5 is preserved.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
icon
Related questions
Question
100%
**Transcription of Spreadsheet Instructions for Educational Website**

---

### Count the Number of Houses in One City

- **Objective:** Count the number of houses in one specific city, Alpine.
- **Instructions:**
  1. In cell C2, use the `COUNTIF` function to count houses in the city of Alpine.
  2. Utilize mixed references for the range and a relative reference for cell A2.
  3. Copy the function.
  4. Use the Paste Formulas option from range C3:C5 to maintain border formatting in cell C5.

### Calculate Total Commissions for Each Agent

- **Objective:** Calculate the total commissions for each agent.
- **Instructions:**
  1. In cell B7, use the `SUMIF` function to total commissions by agent.
  2. Apply mixed references for ranges and a relative reference for cell A7.
  3. Copy the function and use the Paste Formulas option for range B8:B9 to preserve borders.

### Summary Statistics for Multiple Conditions

- **Overview:** The top-middle section calculates houses sold by agents who served as Dual Agents (DA).
- **Count of Houses Sold by Dual Agents:**
  1. In cell F2, insert the `COUNTIFS` function.
  2. Count houses sold by the first agent (cell E2) serving as a Dual Agent (DA) (J3).
  3. Use all cell references in the function.
  4. Copy to range F3:F4 to preserve bottom border for cell F4.

- **Total Value of Houses Sold by Dual Agents:**
  1. Use mixed references and copy the agent code condition in cell J3 for houses.
  2. Relative cell references should reflect the agent condition in E2.
  3. Paste Formulas options preserve formatting.

  - In cell G2, insert the `SUMIFS` function.
  - Calculate the total for prices of houses sold by agent (cell E2) as a Dual Agent (DA) (J3).
  - Copy function to range G3:G4 and preserve bottom border for G4.

--- 

These instructions provide step-by-step guidance on using Excel functions for data analysis related to counting houses and calculating commissions based on specific conditions in a real estate dataset.
Transcribed Image Text:**Transcription of Spreadsheet Instructions for Educational Website** --- ### Count the Number of Houses in One City - **Objective:** Count the number of houses in one specific city, Alpine. - **Instructions:** 1. In cell C2, use the `COUNTIF` function to count houses in the city of Alpine. 2. Utilize mixed references for the range and a relative reference for cell A2. 3. Copy the function. 4. Use the Paste Formulas option from range C3:C5 to maintain border formatting in cell C5. ### Calculate Total Commissions for Each Agent - **Objective:** Calculate the total commissions for each agent. - **Instructions:** 1. In cell B7, use the `SUMIF` function to total commissions by agent. 2. Apply mixed references for ranges and a relative reference for cell A7. 3. Copy the function and use the Paste Formulas option for range B8:B9 to preserve borders. ### Summary Statistics for Multiple Conditions - **Overview:** The top-middle section calculates houses sold by agents who served as Dual Agents (DA). - **Count of Houses Sold by Dual Agents:** 1. In cell F2, insert the `COUNTIFS` function. 2. Count houses sold by the first agent (cell E2) serving as a Dual Agent (DA) (J3). 3. Use all cell references in the function. 4. Copy to range F3:F4 to preserve bottom border for cell F4. - **Total Value of Houses Sold by Dual Agents:** 1. Use mixed references and copy the agent code condition in cell J3 for houses. 2. Relative cell references should reflect the agent condition in E2. 3. Paste Formulas options preserve formatting. - In cell G2, insert the `SUMIFS` function. - Calculate the total for prices of houses sold by agent (cell E2) as a Dual Agent (DA) (J3). - Copy function to range G3:G4 and preserve bottom border for G4. --- These instructions provide step-by-step guidance on using Excel functions for data analysis related to counting houses and calculating commissions based on specific conditions in a real estate dataset.
### Real Estate Sales Data Analysis

#### Overview

This data table provides detailed information about real estate sales conducted by various agents in different locations. Key metrics include average sold prices, agent commissions, and performance bonuses. The dataset also includes a transaction log covering significant details for each sale, including listing and sale dates, days on market, and the types of agency involved.

#### Key Sections

1. **Location-Based Statistics**
   - This section is meant to capture data like average sold prices and the number of properties sold across various locations such as Alpine, American Fork, Cedar Hills, and Lehi. However, the data fields are left blank.

2. **Agent-Specific Performance**
   - **Total Commission by Agent**
     - Agents: Carey, Hernandez, Pijuan
     - Specific commissions per agent are not provided, suggesting this data would typically highlight the total commission earned by each agent.
   - **Dual Agent Performance**
     - Each agent's total number of sales and highest selling price is listed but not filled in.

3. **Agent Codes and Commission Rates**
   - BA: Buyer's Agent - Earns a 2.75% commission
   - DA: Dual Agency - Earns a 5.50% commission
   - SA: Seller's Agent - Earns a 3.25% commission

4. **Bonus Criteria**
   - Percent of List: 100%
   - Days on Market: 30
   - Bonus Amount: $1,000

#### Detailed Sales Log

- **Columns Explanation:**
  - **Number:** Transaction identification number
  - **City:** Location of the property sold
  - **Selling Agent:** Name of the agent responsible for the sale
  - **Agent Type:** Denotes if the agent is acting as a DA, BA, or SA
  - **List Price:** Initial listed price of the property
  - **Sold Price:** Final selling price of the property
  - **Listing Date and Sale Date:** Timeframe of the property on the market
  - **Days on Market:** Number of days the property was listed before being sold
  - **Agent Commission:** Commission earned based on agent type and transaction specifics
  - **Bonus:** Additional monetary incentive if criteria are met

#### Data Insights

While the transaction details are comprehensive, the summary statistics are not filled out, indicating a need for input or calculation to display meaningful trends and insights into location-based sales performance
Transcribed Image Text:### Real Estate Sales Data Analysis #### Overview This data table provides detailed information about real estate sales conducted by various agents in different locations. Key metrics include average sold prices, agent commissions, and performance bonuses. The dataset also includes a transaction log covering significant details for each sale, including listing and sale dates, days on market, and the types of agency involved. #### Key Sections 1. **Location-Based Statistics** - This section is meant to capture data like average sold prices and the number of properties sold across various locations such as Alpine, American Fork, Cedar Hills, and Lehi. However, the data fields are left blank. 2. **Agent-Specific Performance** - **Total Commission by Agent** - Agents: Carey, Hernandez, Pijuan - Specific commissions per agent are not provided, suggesting this data would typically highlight the total commission earned by each agent. - **Dual Agent Performance** - Each agent's total number of sales and highest selling price is listed but not filled in. 3. **Agent Codes and Commission Rates** - BA: Buyer's Agent - Earns a 2.75% commission - DA: Dual Agency - Earns a 5.50% commission - SA: Seller's Agent - Earns a 3.25% commission 4. **Bonus Criteria** - Percent of List: 100% - Days on Market: 30 - Bonus Amount: $1,000 #### Detailed Sales Log - **Columns Explanation:** - **Number:** Transaction identification number - **City:** Location of the property sold - **Selling Agent:** Name of the agent responsible for the sale - **Agent Type:** Denotes if the agent is acting as a DA, BA, or SA - **List Price:** Initial listed price of the property - **Sold Price:** Final selling price of the property - **Listing Date and Sale Date:** Timeframe of the property on the market - **Days on Market:** Number of days the property was listed before being sold - **Agent Commission:** Commission earned based on agent type and transaction specifics - **Bonus:** Additional monetary incentive if criteria are met #### Data Insights While the transaction details are comprehensive, the summary statistics are not filled out, indicating a need for input or calculation to display meaningful trends and insights into location-based sales performance
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Knowledge Booster
Function Arguments
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Database System Concepts
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
Starting Out with Python (4th Edition)
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
Digital Fundamentals (11th Edition)
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
C How to Program (8th Edition)
C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON
Database Systems: Design, Implementation, & Manag…
Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning
Programmable Logic Controllers
Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education