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Let's start by constructing the frequency distributions based on the provided data. 

### 1. Frequency Distribution by Journal

We first identify the distinct journal numbers and count their occurrences.

| Journal Number | Frequency |
|----------------|-----------|
| 1              | 2         |
| 2              | 2         |
| 3              | 2         |
| 5              | 2         |
| 6              | 1         |
| 7              | 2         |
| 8              | 1         |
| 9              | 1         |
| 10             | 1         |
| 11             | 1         |
| 12             | 1         |
| 14             | 2         |
| 15             | 2         |
| 17             | 1         |
| 18             | 1         |

### 2. Frequency Distribution by University Branch

We count the occurrences of each campus.

| Campus | Frequency |
|--------|-----------|
| North  | 7         |
| South  | 4         |
| West   | 7         |

### 3. Frequency Distribution by Number of Publications (using intervals of 3)

We classify the number of publications into intervals of 3 and count the occurrences.

| Interval     | Frequency |
|--------------|-----------|
| 0-2          | 0         |
| 3-5          | 7         |
| 6-8          | 5         |
| 9-11         | 4         |
| 12-14        | 3         |
| 15-17        | 3         |
| 18-20        | 2         |

#### Example Construction:

- **Frequency Distribution by Journal Example:**
  - Journal Number 1 appears twice (rows 6 and 7).
  - Journal Number 2 appears twice (rows 5 and 15).

- **Frequency Distribution by University Branch Example:**
  - North appears 7 times (rows 1, 2, 6, 9, 10, 11, and 13).
  - South appears 4 times (rows 3, 4, 12, and 16).

- **Frequency Distribution by Number of Publications Example:**
  - Interval 0-2 has 0 entries.
  - Interval 3-5 has 7 entries (rows 1, 3, 6, 8, 9, 10, and 11).

Would you like more details or have any questions?

Here are some relative questions to expand your understanding:

1. How can we visually represent these frequency distributions using bar graphs?
2. What insights can we derive about the productivity of different campuses from these distributions?
3. How can we use these frequency distributions to compare the journals' popularity?
4. What is the importance of choosing the right interval size for frequency distributions?
5. How would changing the interval size affect the frequency distribution by the number of publications?

**Tip:** When creating frequency distributions, ensure the intervals are mutually exclusive and collectively exhaustive to accurately represent the data.

Construct frequency distributions based on the data provided by the user for journals, university branches, and number of publications.

Construct frequency distributions based on the number of publications in different journals, campuses, and intervals. Analyze data provided from three university campuses, identifying patterns in productivity based on articles published.

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