avoid data conversion errors

Common data conversion errors include type mismatch, data loss, and precision loss. To avoid these errors, make sure to validate input data, use appropriate data types, and handle exceptions properly. You can fix data conversion errors by converting data using correct functions, ensuring compatibility between source and target data types, and checking for null values.