The program begins by reading survey data from a CSV file and uses custom functions to validate the age, rating, and funding source for each response. It stores valid data in lists and counts, then uses Matplotlib to generate a histogram and pie chart to visualize the results. Finally, it calculates the average rating using NumPy and displays all results in a clear and organized way. 

🔹 check_age(age_one)
Checks if the age input is a valid integer between 0 and 150 and returns True or False accordingly.

🔹 check_linear_scale(rating_one)
Validates that the rating is an integer between 1 and 5, representing how well teacher salaries align with cost of living.

🔹 check_multiple_choice(choice_one)
Verifies that the funding choice matches one of the three valid survey options.

🔹 read_csv(file_name)
Opens the survey CSV file, validates each row of data using the three checking functions, collects valid ratings, and counts responses for each funding source.

🔹 plt_linear_rating(ratings)
Creates and displays a histogram that shows how many people gave each rating on the 1–5 scale.

🔹 plt_counts(federal, reallocation, taxes)
Generates a pie chart visualizing how many people selected each of the three funding options for increasing teacher salaries.

🔹 compute(ratings)
Calculates the average (mean) rating from the list of valid ratings using NumPy.

🔹 main()
Controls the overall program by calling the other functions, storing results, printing outputs, and displaying the two charts.

The program outputs a list of valid ratings, the number of responses for each funding option, and the average rating based on the survey data. It also generates a histogram showing how participants rated salary alignment and a pie chart displaying their preferred sources of funding for potential salary increases.