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Median of an even number of elements
Arrays27/30
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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
The murderer is the butler, again!
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  • Theory
  • Theory
  • Comments

Green light

What is the green light for? For a new research mission!

Now we need to complete our program with the two blocks written earlier.

First, we’ll add the code to sort the array. Secondly, we’ll add the code to calculate the median.

All we have left to do is log the median value in the console, so that Muffin could see how it is different from the average value.

Comments

  • script.js
JavaScript
var expectedUsers = 1000; var usersByDay = [817, 581, 1370, 752, 1247, 681, 1120, 915, 875, 1341, 757, 610, 812, 741, 1139, 812, 638, 877, 1242, 1159, 1372, 1170, 845, 1289, 515, 1247, 769, 1261, 2805, 1201]; // Drawing the traffic graph muffin.plot(usersByDay, expectedUsers); // Summarizing traffic var totalUsers = 0; for (var i = 0; i <= usersByDay.length - 1; i++) { totalUsers += usersByDay[i]; } // Calculating the average traffic value var averageUsers = totalUsers / usersByDay.length; console.log('Average traffic: ' + averageUsers); if (averageUsers > expectedUsers) { console.log('Traffic is amazing. Keep up the good work!'); } else { console.log('Traffic is so-so. You need to try harder!'); } // Sorting array /* for (var i = 0; i <= usersByDay.length - 2; i++) { var minValue = usersByDay[i]; for (var j = i + 1; j <= usersByDay.length - 1; j++) { if (usersByDay[j] < minValue) { minValue = usersByDay[j]; var swap = usersByDay[i]; usersByDay[i] = minValue; usersByDay[j] = swap; } } } */ // Calculating median /* if (usersByDay.length % 2 !== 0) { var medianIndex = (usersByDay.length - 1) / 2; var median = usersByDay[medianIndex]; } else { var leftIndex = usersByDay.length / 2 - 1; var rightIndex = usersByDay.length / 2; var median = (usersByDay[leftIndex] + usersByDay[rightIndex]) / 2; } */

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Console

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Result

Goalscompleted
  1. Uncomment the block with array sorting You can also log the array in the console to ensure that it is sorted correctly.
  2. Then uncomment the block with median calculation.
  3. At the end of the program, log message 'Median traffic: ' + median in the console.

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