Final Answer:
code snippets would create a new dataframe based upon a csv data file is data = pd.read_csv("file.txt") (Option C)
Explanation:
The correct code snippet to create a new DataFrame based on a CSV data file is (c) data = pd.read_csv("file.txt"). In this code, the pd.read_csv() function is used from the pandas library to read the data from the specified CSV file ("file.txt") and create a DataFrame named 'data.' This function is specifically designed for reading CSV files and converting them into a tabular data structure, making it a suitable choice for this task.
The read_csv() function in pandas is versatile and allows you to customize the import process by specifying various parameters such as delimiter, header, and index column. It provides a convenient way to load CSV data into a DataFrame, which is a two-dimensional labeled data structure commonly used in data analysis and manipulation.
Contrastingly, options (a) data = read_csv("file.txt"), and (b) data = load_csv("file.txt") are incorrect. These options suggest the use of functions without specifying the pandas library (pd), and the correct syntax is to use pd.read_csv() for reading CSV files into a DataFrame in the pandas library. Option (d) data = create_dataframe("file.txt") is also incorrect, as there is no standard function in pandas named create_dataframe() for reading CSV files; the appropriate function for this purpose is pd.read_csv(). (Option C)