Using the Text/CSV Data Source Connector in Power BI

Load: This will import the data directly into Power BI without any changes.
Transform Data: This will open the Power Query Editor, where you can clean and reshape your data before loading it into Power BI.

Filtering Rows: Exclude unwanted rows based on specific criteria.
Splitting Columns: Divide a single column into multiple columns based on a delimiter.
Changing Data Types: Ensure that each column has the correct data type, such as text, number, or date.
Removing Duplicates: Eliminate duplicate rows to ensure data accuracy.

Ensure Data Consistency: Make sure that your CSV files have consistent structures, with the same columns and data types across files.
Handle Large Files Efficiently: For very large files, consider splitting them into smaller chunks or using the Power Query Editor to load only the necessary data.
Use Data Validation: Validate your data before importing to avoid issues with incorrect data types or formatting.
Keep Your Data Secure: If your CSV files contain sensitive information, ensure that they are stored and handled securely, especially when sharing Power BI reports.

Incorrect Delimiter: If Power BI doesn’t correctly identify your file’s delimiter, manually select the correct one in the data preview window.
Encoding Problems: If your file uses a different text encoding (e.g., UTF-8, ANSI), select the correct encoding from the ‘File Origin’ dropdown in the data preview.
Header Misalignment: If Power BI misinterprets the header row, ensure that the ‘Use first row as headers’ option is checked.