I need to know a command to find errors in data file
I have a program which analyzes ticket sales and I have everything but one of the requirements is to find the errors on the data file (the data file is "WDWtixdata1.txt")(The errors are numbers grearest than 10 like 11,12,13, etc and numbers lower than 1 like 0,-1, etc.
Which command can I use to find the errors? The one I used tells me hat theres 8 errors but the right answer is 101 so I am doing somthing wrong.
I would appreciate the help.
% This Program analyzes ticket sales data for an event at Walt Disney World
% Load data from the file
data = load(‘WDWtixdata1.txt’);
% Filter out errors (tickets greater than 10 days or less than 1 day)
valid_data = data(data >= 1 & data <= 10);
% Define ticket prices
one_day_price = 122.00;
two_to_three_day_price = 101.67;
four_to_seven_day_price = 67.50;
eight_to_ten_day_price = 48.34;
% Calculate total number of tickets sold
total_tickets_sold = numel(valid_data);
% Calculate tickets sold in each category
one_day_tickets = sum(valid_data == 1);
two_to_three_day_tickets = sum(valid_data >= 2 & valid_data <= 3);
four_to_seven_day_tickets = sum(valid_data >= 4 & valid_data <= 7);
eight_to_ten_day_tickets = sum(valid_data >= 8 & valid_data <= 10);
% Calculate percentages
one_day_percentage = (one_day_tickets / total_tickets_sold) * 100;
two_to_three_day_percentage = (two_to_three_day_tickets / total_tickets_sold) * 100;
four_to_seven_day_percentage = (four_to_seven_day_tickets / total_tickets_sold) * 100;
eight_to_ten_day_percentage = (eight_to_ten_day_tickets / total_tickets_sold) * 100;
% Calculate total revenue
total_revenue = (one_day_tickets * one_day_price) + (two_to_three_day_tickets * two_to_three_day_price * valid_data(1)) + (four_to_seven_day_tickets * four_to_seven_day_price * valid_data(1)) + (eight_to_ten_day_tickets * eight_to_ten_day_price * valid_data(1));
% Identify errors
total_errors = (load(‘WDWtixdata1.txt’) <= 1 & data >= 10);
% Display results
disp([‘WDW sold a total of ‘ num2str(total_tickets_sold) ‘ tickets.’]);
disp([‘WDW sold ‘ num2str(one_day_tickets) ‘ one-day tickets, which is ‘ num2str(one_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(two_to_three_day_tickets) ‘ two-to-three-day tickets, which is ‘ num2str(two_to_three_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(four_to_seven_day_tickets) ‘ four-to-seven-day tickets, which is ‘ num2str(four_to_seven_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(eight_to_ten_day_tickets) ‘ eight-to-ten-day tickets, which is ‘ num2str(eight_to_ten_day_percentage) ‘% of all tickets sold.’]);
disp([‘Walt Disney World took in a total of $’ num2str(total_revenue)]);
disp([‘The data file WDWtixdata1.txt had a total of ‘ numel(total_errors) ‘ errors.’]);I have a program which analyzes ticket sales and I have everything but one of the requirements is to find the errors on the data file (the data file is "WDWtixdata1.txt")(The errors are numbers grearest than 10 like 11,12,13, etc and numbers lower than 1 like 0,-1, etc.
Which command can I use to find the errors? The one I used tells me hat theres 8 errors but the right answer is 101 so I am doing somthing wrong.
I would appreciate the help.
% This Program analyzes ticket sales data for an event at Walt Disney World
% Load data from the file
data = load(‘WDWtixdata1.txt’);
% Filter out errors (tickets greater than 10 days or less than 1 day)
valid_data = data(data >= 1 & data <= 10);
% Define ticket prices
one_day_price = 122.00;
two_to_three_day_price = 101.67;
four_to_seven_day_price = 67.50;
eight_to_ten_day_price = 48.34;
% Calculate total number of tickets sold
total_tickets_sold = numel(valid_data);
% Calculate tickets sold in each category
one_day_tickets = sum(valid_data == 1);
two_to_three_day_tickets = sum(valid_data >= 2 & valid_data <= 3);
four_to_seven_day_tickets = sum(valid_data >= 4 & valid_data <= 7);
eight_to_ten_day_tickets = sum(valid_data >= 8 & valid_data <= 10);
% Calculate percentages
one_day_percentage = (one_day_tickets / total_tickets_sold) * 100;
two_to_three_day_percentage = (two_to_three_day_tickets / total_tickets_sold) * 100;
four_to_seven_day_percentage = (four_to_seven_day_tickets / total_tickets_sold) * 100;
eight_to_ten_day_percentage = (eight_to_ten_day_tickets / total_tickets_sold) * 100;
% Calculate total revenue
total_revenue = (one_day_tickets * one_day_price) + (two_to_three_day_tickets * two_to_three_day_price * valid_data(1)) + (four_to_seven_day_tickets * four_to_seven_day_price * valid_data(1)) + (eight_to_ten_day_tickets * eight_to_ten_day_price * valid_data(1));
% Identify errors
total_errors = (load(‘WDWtixdata1.txt’) <= 1 & data >= 10);
% Display results
disp([‘WDW sold a total of ‘ num2str(total_tickets_sold) ‘ tickets.’]);
disp([‘WDW sold ‘ num2str(one_day_tickets) ‘ one-day tickets, which is ‘ num2str(one_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(two_to_three_day_tickets) ‘ two-to-three-day tickets, which is ‘ num2str(two_to_three_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(four_to_seven_day_tickets) ‘ four-to-seven-day tickets, which is ‘ num2str(four_to_seven_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(eight_to_ten_day_tickets) ‘ eight-to-ten-day tickets, which is ‘ num2str(eight_to_ten_day_percentage) ‘% of all tickets sold.’]);
disp([‘Walt Disney World took in a total of $’ num2str(total_revenue)]);
disp([‘The data file WDWtixdata1.txt had a total of ‘ numel(total_errors) ‘ errors.’]); I have a program which analyzes ticket sales and I have everything but one of the requirements is to find the errors on the data file (the data file is "WDWtixdata1.txt")(The errors are numbers grearest than 10 like 11,12,13, etc and numbers lower than 1 like 0,-1, etc.
Which command can I use to find the errors? The one I used tells me hat theres 8 errors but the right answer is 101 so I am doing somthing wrong.
I would appreciate the help.
% This Program analyzes ticket sales data for an event at Walt Disney World
% Load data from the file
data = load(‘WDWtixdata1.txt’);
% Filter out errors (tickets greater than 10 days or less than 1 day)
valid_data = data(data >= 1 & data <= 10);
% Define ticket prices
one_day_price = 122.00;
two_to_three_day_price = 101.67;
four_to_seven_day_price = 67.50;
eight_to_ten_day_price = 48.34;
% Calculate total number of tickets sold
total_tickets_sold = numel(valid_data);
% Calculate tickets sold in each category
one_day_tickets = sum(valid_data == 1);
two_to_three_day_tickets = sum(valid_data >= 2 & valid_data <= 3);
four_to_seven_day_tickets = sum(valid_data >= 4 & valid_data <= 7);
eight_to_ten_day_tickets = sum(valid_data >= 8 & valid_data <= 10);
% Calculate percentages
one_day_percentage = (one_day_tickets / total_tickets_sold) * 100;
two_to_three_day_percentage = (two_to_three_day_tickets / total_tickets_sold) * 100;
four_to_seven_day_percentage = (four_to_seven_day_tickets / total_tickets_sold) * 100;
eight_to_ten_day_percentage = (eight_to_ten_day_tickets / total_tickets_sold) * 100;
% Calculate total revenue
total_revenue = (one_day_tickets * one_day_price) + (two_to_three_day_tickets * two_to_three_day_price * valid_data(1)) + (four_to_seven_day_tickets * four_to_seven_day_price * valid_data(1)) + (eight_to_ten_day_tickets * eight_to_ten_day_price * valid_data(1));
% Identify errors
total_errors = (load(‘WDWtixdata1.txt’) <= 1 & data >= 10);
% Display results
disp([‘WDW sold a total of ‘ num2str(total_tickets_sold) ‘ tickets.’]);
disp([‘WDW sold ‘ num2str(one_day_tickets) ‘ one-day tickets, which is ‘ num2str(one_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(two_to_three_day_tickets) ‘ two-to-three-day tickets, which is ‘ num2str(two_to_three_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(four_to_seven_day_tickets) ‘ four-to-seven-day tickets, which is ‘ num2str(four_to_seven_day_percentage) ‘% of all tickets sold.’]);
disp([‘WDW sold ‘ num2str(eight_to_ten_day_tickets) ‘ eight-to-ten-day tickets, which is ‘ num2str(eight_to_ten_day_percentage) ‘% of all tickets sold.’]);
disp([‘Walt Disney World took in a total of $’ num2str(total_revenue)]);
disp([‘The data file WDWtixdata1.txt had a total of ‘ numel(total_errors) ‘ errors.’]); finderrors, findespecificnumbersindatafile MATLAB Answers — New Questions