Sure, here is a step-by-step guide on how to write a Python script for this task:

1. Import the necessary libraries:
```python
import csv
from collections import defaultdict
```
2. Open the CSV file and read its content:
```python
with open('employees.csv', 'r') as file:
reader = csv.reader(file)
next(reader) # Skip the header
data = list(reader)
```
3. Create a dictionary to store the count of employees in each department:
```python
departments = defaultdict(int)
for row in data:
departments[row[1]] += 1 # Assuming department name is in the second column
```
4. Open a new text file and write the report:
```python
with open('report.txt', 'w') as file:
for department, count in departments.items():
file.write(f'{department}: {count}
')
```
This script assumes that the CSV file is named 'employees.csv' and the department name is in the second column of each row. The output report will be saved in a file named 'report.txt'. Each line in the report will contain a department name followed by the number of employees in that department.

Please replace the file names and column index as per your actual data.

Question

Sure, here is a step-by-step guide on how to write a Python script for this task:

1. Import the necessary libraries:
```python
import csv
from collections import defaultdict
```
2. Open the CSV file and read its content:
```python
with open('employees.csv', 'r') as file:
    reader = csv.reader(file)
    next(reader)  # Skip the header
    data = list(reader)
```
3. Create a dictionary to store the count of employees in each department:
```python
departments = defaultdict(int)
for row in data:
    departments[row[1]] += 1  # Assuming department name is in the second column
```
4. Open a new text file and write the report:
```python
with open('report.txt', 'w') as file:
    for department, count in departments.items():
        file.write(f'{department}: {count}
')
```
This script assumes that the CSV file is named 'employees.csv' and the department name is in the second column of each row. The output report will be saved in a file named 'report.txt'. Each line in the report will contain a department name followed by the number of employees in that department.

Please replace the file names and column index as per your actual data.

Knowee AI · Accepted Answer

Sure, here is a step-by-step guide on how to write a Python script for this task:

1. Import the necessary libraries:
```python
import csv
from collections import defaultdict
```
2. Open the CSV file and read its content:
```python
with open('employees.csv', 'r') as file:
    reader = csv.reader(file)
    next(reader)  # Skip the header
    data = list(reader)
```
3. Create a dictionary to store the count of employees in each department:
```python
departments = defaultdict(int)
for row in data:
    departments[row[1]] += 1  # Assuming department name is in the second column
```
4. Open a new text file and write the report:
```python
with open('report.txt', 'w') as file:
    for department, count in departments.items():
        file.write(f'{department}: {count}
')
```
This script assumes that the CSV file is named 'employees.csv' and the department name is in the second column of each row. The output report will be saved in a file named 'report.txt'. Each line in the report will contain a department name followed by the number of employees in that department.

Please replace the file names and column index as per your actual data.

Question

Solution

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