You have been asked to produce the report below. This report will tell the state fishing department the status of fish in NJ. The file fishpopulation.txt has the values values are the Fish Tracking Number, Fish Length in cm, Fish Weight in gm, Sightings Fish Name Sample Fish Tracking Population Number Length Weight Density Sightings Status Happy Fish Sad Fish Hot Fish Cold Fish 11111 Daily 20 100 5 534 Normal You will produce two summary lines at the end of the report. The summary section should display the Rarest Fish, The Most Common Fish Density is calculated by dividing the fishes weight by its length. Status is determine by the fish sightings 0-100 Rare, 101 - 500 Normal, over 500 Common These are the names of the fish. The data file is set up in order to associate then name with the data you read. One Fish Two Fish Blue Fish Black Fish Old Fish New Fish

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ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Chapter1: Introduction
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Java Code with (pseudo code) I attached the data file also

Below is the transcribed text from the provided image, tailored for an educational website. The image contains a set of numbers arranged in rows and columns:

---
**Numerical Data Set:**

61111  |  34  |  420  |  1025
55555  |  15  |  214  |  501
24680  |  23  |  348  |  625
125690  |  31  |  349  |  489
37543  |  12  |  219  |  985
89431  |  6  |  125  |  25
21876  |  12  |  258  |  68
75432  |  18  |  325  |  658
39761  |  27  |  418  |  145

---

**Explanation of Numerical Data Set:**

The provided data consists of four columns and nine rows of numbers. Each row contains a sequence of four numbers. The purpose or relationships between these numbers are not specified in the image. Understanding patterns or deriving conclusions from this data would require further context or additional information.

---

**Note:**

No graphs or diagrams are included in the image. The explanation focuses solely on the numerical content as observed.
Transcribed Image Text:Below is the transcribed text from the provided image, tailored for an educational website. The image contains a set of numbers arranged in rows and columns: --- **Numerical Data Set:** 61111 | 34 | 420 | 1025 55555 | 15 | 214 | 501 24680 | 23 | 348 | 625 125690 | 31 | 349 | 489 37543 | 12 | 219 | 985 89431 | 6 | 125 | 25 21876 | 12 | 258 | 68 75432 | 18 | 325 | 658 39761 | 27 | 418 | 145 --- **Explanation of Numerical Data Set:** The provided data consists of four columns and nine rows of numbers. Each row contains a sequence of four numbers. The purpose or relationships between these numbers are not specified in the image. Understanding patterns or deriving conclusions from this data would require further context or additional information. --- **Note:** No graphs or diagrams are included in the image. The explanation focuses solely on the numerical content as observed.
### Fish Population Report for NJ

This report will provide the state fishing department an overview of the status of fish in NJ, based on data from the file `fishpopulation.txt`. The file contains the following values:

- **Fish Tracking Number**
- **Fish Length (in cm)**
- **Fish Weight (in gm)**
- **Sightings**

The data is organized in the following format:

| Fish Name    | Tracking Number | Length (cm) | Weight (gm) | Density | Daily Sightings | Status |
|--------------|-----------------|-------------|-------------|---------|-----------------|--------|
| Sample Fish  | 11111           | 20          | 100         | 5       | 534             | Normal |

#### Summary Section
At the end of this report, you will produce two summary lines to display:
- The Rarest Fish
- The Most Common Fish

#### Calculations and Classification
- **Density Calculation**: 
  Density is calculated by dividing the fish's weight by its length.
  \[
  \text{Density} = \frac{\text{Weight (gm)}}{\text{Length (cm)}}
  \]
  
- **Status Classification**: 
  The status of the fish is determined based on the number of sightings:
  - 0 to 100 sightings: **Rare**
  - 101 to 500 sightings: **Normal**
  - Over 500 sightings: **Common**

#### List of Fish Names
The data file is structured to associate the following names with the data:

1. One Fish
2. Two Fish
3. Blue Fish
4. Black Fish
5. Old Fish
6. New Fish
7. Happy Fish
8. Sad Fish
9. Hot Fish
10. Cold Fish

By using this detailed and structured approach, the status and details about the fish population in NJ can be effectively monitored and analyzed for optimal management and conservation efforts.
Transcribed Image Text:### Fish Population Report for NJ This report will provide the state fishing department an overview of the status of fish in NJ, based on data from the file `fishpopulation.txt`. The file contains the following values: - **Fish Tracking Number** - **Fish Length (in cm)** - **Fish Weight (in gm)** - **Sightings** The data is organized in the following format: | Fish Name | Tracking Number | Length (cm) | Weight (gm) | Density | Daily Sightings | Status | |--------------|-----------------|-------------|-------------|---------|-----------------|--------| | Sample Fish | 11111 | 20 | 100 | 5 | 534 | Normal | #### Summary Section At the end of this report, you will produce two summary lines to display: - The Rarest Fish - The Most Common Fish #### Calculations and Classification - **Density Calculation**: Density is calculated by dividing the fish's weight by its length. \[ \text{Density} = \frac{\text{Weight (gm)}}{\text{Length (cm)}} \] - **Status Classification**: The status of the fish is determined based on the number of sightings: - 0 to 100 sightings: **Rare** - 101 to 500 sightings: **Normal** - Over 500 sightings: **Common** #### List of Fish Names The data file is structured to associate the following names with the data: 1. One Fish 2. Two Fish 3. Blue Fish 4. Black Fish 5. Old Fish 6. New Fish 7. Happy Fish 8. Sad Fish 9. Hot Fish 10. Cold Fish By using this detailed and structured approach, the status and details about the fish population in NJ can be effectively monitored and analyzed for optimal management and conservation efforts.
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