CV-USA-CSV-SUV - Backend

Corona Virus data in the United States of America in enough Comma-Separated-Value-formatted lines to fill a large Sports Utility Vehicle.

It's a truckload of American pandemic data!

Guidelines

• You won't need to pull in the data from the .csv at ANY point in this exercise. It's only for reference. We'll be pulling it in in the next part!
• Pay attention to the hints; if we don't tell you to use a function from another external file, you won't need it!
• And if we do tell you need it... you probably do.

Tasks

• getDate - takes in a row array and returns the date from it (see the table header in the .csv file for which that is!)
• getTotalCases - takes in a row array and returns the total cases from it (see the table header for which that is!)
• getNewCases - takes in a row array and returns the new cases from it (see the table header for which that is!)
• getRow - takes in a comma-separated string and converts it to array, returning that array
• getRows - takes in newline-separated string and convert to 2d array
  • HINT: This is a mapping function, essentially. Make a new array, split the huge csv string, loop through the array that gives you, and push an array for each string row into your new array.
  • HINT: You can use getRow (requiring it in!) to convert each row from a string to an array.
• getTotalCasesByDay - takes in a date string and a 2D array and returns total cases that day
  • HINT: You'll want to loop through each row of the data!
  • HINT: You can use getDate and getTotalCases so you don't have to check those indices again!
• getNewCasesByDay - takes in a date string and a 2D array and returns new cases that day
  • HINT: You'll want to loop through each row of the data!
  • HINT: You can use getDate and getNewCases so you don't have to check those indices again!

Untested-For Stretch Goals

• Write a function that takes in a 2D array and two date strings and returns the difference in total cases between those two days
• Write a function that takes in a 2D array and two date strings and returns the difference in NEW cases between those two days (this is the growth or decline in the rate of case growth)