Python for Data Science — Mini Project: File-Based Data Processor

1. 1Read text files using Python's built-in open function to extract data
2. 2Convert CSV files to JSON format using the pandas library
3. 3Merge JSON data with text file data using Python's built-in json module
4. 4Apply data cleaning and preprocessing techniques to the merged data
5. 5Write the processed data to a new CSV file using pandas

Data scientists and analysts can benefit from this project to improve their data processing skills, while software engineers can apply this knowledge to build more efficient data pipelines

💡 Combining different file formats into a single data workflow can simplify data processing and analysis

Build a file-based data processor using #Python for #DataScience! Combine text files, CSVs, and JSON into a simple workflow