├── CSV
└── README.md


/CSV:
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 1 | import pandas as pd
 2 | 
 3 | def filter_csv(input_file, output_file, column_name, filter_value):
 4 |     # Read the CSV file
 5 |     data = pd.read_csv(input_file)
 6 |     
 7 |     # Filter the data
 8 |     filtered_data = data[data[column_name] == filter_value]
 9 |     
10 |     # Save the filtered data to a new CSV file
11 |     filtered_data.to_csv(output_file, index=False)
12 |     print(f"Filtered data saved to: {output_file}")
13 | 
14 | if __name__ == "__main__":
15 |     input_file = input("Enter the path to the input CSV file: ")
16 |     output_file = input("Enter the path to the output CSV file: ")
17 |     column_name = input("Enter the column name to filter by: ")
18 |     filter_value = input("Enter the value to filter for: ")
19 |     
20 |     filter_csv(input_file, output_file, column_name, filter_value)
21 | 


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/README.md:
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 1 | # CSV Data Processing
 2 | 
 3 | This is a simple Python script to read a CSV file, filter the data by a specified criterion, and save the filtered data to a new CSV file.
 4 | 
 5 | ## Requirements
 6 | 
 7 | - Python 3.x
 8 | - `pandas` library
 9 | 
10 | ## Installation
11 | 
12 | 1. Clone this repository:
13 |     ```bash
14 |     git clone https://github.com/yourusername/csv_data_processing.git
15 |     ```
16 | 2. Navigate to the project directory:
17 |     ```bash
18 |     cd csv_data_processing
19 |     ```
20 | 3. Install the required libraries:
21 |     ```bash
22 |     pip install -r requirements.txt
23 |     ```
24 | 
25 | ## Usage
26 | 
27 | Run the script and follow the prompts:
28 | ```bash
29 | python filter_data.py
30 | 


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