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Little Muffin and Big Data
Arrays2/30
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  • 1. Little Muffin and Big Data
  • 2. Average value
  • 3. Finishing the traffic analyzer
  • 4. New data
  • 5. A lot of data? An array!
  • 6. Reading from an array using index
  • 7. Variable as index
  • 8. Array length
  • 9. Let’s hit arrays with loops!
  • 10. Summation in the loop
  • 11. Finishing refactoring
  • 12. One small analytical investigation
  • 13. Writing to an array by index
  • 14. The murderer is a butler!
  • 15. Summary of “Arrays”. Part 1
  • 16. Fifth program: Beginner decryptor
  • 17. Vague suspicions
  • 18. Swapping the elements
  • 19. Looking for the minimum element
  • 20. The minimum element is found!
  • 21. Starting sorting
  • 22. Continue sorting
  • 23. Finish sorting
  • 24. Testing the sorting
  • 25. Median of an odd number of elements
  • 26. Median of an even number of elements
  • 27. Green light
  • 28. The murderer is the butler, again!
  • 29. Summary of “Arrays”. Part 2
  • 30. Sixth program: Long jump records
Finishing the traffic analyzer
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  • Theory
  • Theory
  • Comments

Average value

Excellent! Muffin can see how much the actual traffic is different from the planned one. Bu watching traffic using the method of unfaltering gaze is unscientific and inefficient. It is better to invoke dry statistics, which will help us understand what is going wrong in a non-obvious situation.

Now you need to add to the program the average number of visits for the observed period. If this value is below the recommended one, Muffin will have to think about increasing his traffic.

The average value is calculated using the formula: sum of all values ​​divided by their number. Let’s calculate the average number of visits per day and log this value in the console.

Comments

  • script.js
JavaScript
var expectedUsers = 1000; var firstDayUsers = 812; var secondDayUsers = 1360; var thirdDayUsers = 657; // Drawing the traffic graph muffin.plot(firstDayUsers, secondDayUsers, thirdDayUsers, expectedUsers);

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Console

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Result

Goalscompleted

Calculate the average site traffic.

  1. Add declaration of the variable averageUsers to the end of the program.
  2. And assign it a value calculated using the formula (firstDayUsers + secondDayUsers + thirdDayUsers) / 3.
  3. Then log the variable averageUsers in the console.

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