### Calculating the Highest-Price House Sold by a Dual AgentTo determine the highest-priced house sold for each agent when they served as a Dual Agent (DA), follow these instructions:1. **Use Mixed References:** - Utilize mixed references for ranges and the agent code condition in cell J3. - Employ relative cell references for the agent condition in cell E2.2. **Preserve Border Formatting:** - When copying formulas, use the "Paste Formulas" option to maintain border formatting.3. **Insert the MAXIFS Function:** - In cell H2, insert the `MAXIFS` function. - This will display the highest-price house sold by the first agent (cell E2) who was a Dual Agent (DA) per cell J3.4. **Copy the Function:** - Copy the function to the range H3:H4. - Ensure that you preserve the borders in the range H3:H4.By following these steps, you will efficiently calculate the highest-price house sold by each Dual Agent. ### Real Estate Sales Data#### Overview:This document contains detailed data on real estate transactions, organized by city, selling agent, and transaction specifics. It includes key metrics such as list prices, sold prices, and agent commissions.#### Summary Tables:1. **Average Sold Price by Location:** - **Alpine** - **American Fork** - **Cedar Hills** - **Lehi**2. **Total Commission by Agent:** - **Carey** - **Hernandez** - **Pijuan**3. **Sales Data by Agent:** - **Dual Agent Transactions** - **Total Number Sold** - **Total Sold Prices** - **Highest Sold Price**4. **Agent Codes and Commission Rates:** - **BA (Buyer's Agent):** 2.75% - **DA (Dual Agency):** 5.50% - **SA (Seller's Agent):** 3.25%5. **Bonus Structure:** - **Percent of List:** 100% - **Days on Market:** 30 days - **Bonus Amount:** $1,000#### Detailed Transaction Data:- **Columns:** - **Number, City**, Selling Agent, Agent Type (DA/BA/SA), **List Price**, **Sold Price**, **Listing Date**, **Sale Date**, **Days on Market**, **Agent Commission**, **Bonus**- **Sample Transactions:** - **Cedar Hills:** - Agent: Pijuan, Type: DA, List Price: $725,000, Sold Price: $705,000, Dates: 4/1/2021 - 6/16/2021 - **Lehi:** - Agent: Pijuan, Type: DA, List Price: $350,799, Sold Price: $350,000, Dates: 4/1/2021 - 5/25/2021- **Analysis Points:** - The dataset reveals trends in agent performance and sales efficiency. - Transactions are categorized by location and agent, providing insights into market dynamics and agent effectiveness.This structured data is essential for analyzing market trends, agent performance, and sale dynamics in the specified localities.

Now, you will calculate the highest-price house highest-price house sold for each agent when he or she served as a Dual Agent (DA). Use mixed references for ranges and the agent code condition in cell J3. Use relative cell references to the agent condition in cell E2. When you copy the formulas, use the paste Formulas options to preserve border formatting. In cell H2, insert the MAXIFS function in cell H2 to display the highest-price house sold by the first agent (cell E2) who was a Dual Agent (DA) (J3) for that house. Copy the function to the range H3:H4 and preserve the borders in the range H3:H4.

Now, you will calculate the highest-price house highest-price house sold for each agent when he or she served as a Dual Agent (DA). Use mixed references for ranges and the agent code condition in cell J3. Use relative cell references to the agent condition in cell E2. When you copy the formulas, use the paste Formulas options to preserve border formatting. In cell H2, insert the MAXIFS function in cell H2 to display the highest-price house sold by the first agent (cell E2) who was a Dual Agent (DA) (J3) for that house. Copy the function to the range H3:H4 and preserve the borders in the range H3:H4.

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

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Concept explainers

SQL

SQL stands for Structured Query Language, is a form of communication that uses queries structured in a specific format to store, manage & retrieve data from a relational database.

Queries

A query is a type of computer programming language that is used to retrieve data from a database. Databases are useful in a variety of ways. They enable the retrieval of records or parts of records, as well as the performance of various calculations prior to displaying the results. A search query is one type of query that many people perform several times per day. A search query is executed every time you use a search engine to find something. When you press the Enter key, the keywords are sent to the search engine, where they are processed by an algorithm that retrieves related results from the search index. Your query's results are displayed on a search engine results page, or SER.

Question

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### Calculating the Highest-Price House Sold by a Dual Agent

To determine the highest-priced house sold for each agent when they served as a Dual Agent (DA), follow these instructions:

1. **Use Mixed References:**
- Utilize mixed references for ranges and the agent code condition in cell J3.
- Employ relative cell references for the agent condition in cell E2.

2. **Preserve Border Formatting:**
- When copying formulas, use the "Paste Formulas" option to maintain border formatting.

3. **Insert the MAXIFS Function:**
- In cell H2, insert the `MAXIFS` function.
- This will display the highest-price house sold by the first agent (cell E2) who was a Dual Agent (DA) per cell J3.

4. **Copy the Function:**
- Copy the function to the range H3:H4.
- Ensure that you preserve the borders in the range H3:H4.

By following these steps, you will efficiently calculate the highest-price house sold by each Dual Agent.

### Real Estate Sales Data

#### Overview:
This document contains detailed data on real estate transactions, organized by city, selling agent, and transaction specifics. It includes key metrics such as list prices, sold prices, and agent commissions.

#### Summary Tables:

1. **Average Sold Price by Location:**
- **Alpine**
- **American Fork**
- **Cedar Hills**
- **Lehi**

2. **Total Commission by Agent:**
- **Carey**
- **Hernandez**
- **Pijuan**

3. **Sales Data by Agent:**
- **Dual Agent Transactions**
- **Total Number Sold**
- **Total Sold Prices**
- **Highest Sold Price**

4. **Agent Codes and Commission Rates:**
- **BA (Buyer's Agent):** 2.75%
- **DA (Dual Agency):** 5.50%
- **SA (Seller's Agent):** 3.25%

5. **Bonus Structure:**
- **Percent of List:** 100%
- **Days on Market:** 30 days
- **Bonus Amount:** $1,000

#### Detailed Transaction Data:

- **Columns:**
- **Number, City**, Selling Agent, Agent Type (DA/BA/SA), **List Price**, **Sold Price**, **Listing Date**, **Sale Date**, **Days on Market**, **Agent Commission**, **Bonus**

- **Sample Transactions:**
- **Cedar Hills:**
- Agent: Pijuan, Type: DA, List Price: $725,000, Sold Price: $705,000, Dates: 4/1/2021 - 6/16/2021
- **Lehi:**
- Agent: Pijuan, Type: DA, List Price: $350,799, Sold Price: $350,000, Dates: 4/1/2021 - 5/25/2021

- **Analysis Points:**
- The dataset reveals trends in agent performance and sales efficiency.
- Transactions are categorized by location and agent, providing insights into market dynamics and agent effectiveness.

This structured data is essential for analyzing market trends, agent performance, and sale dynamics in the specified localities.

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