Javascript Problem: Using the data set as a pre-defined variable in your program, write code that...
Javascript Problem:
Using the data set as a pre-defined variable in your program, write code that uses the dataset to print the first names of people with above average math grades and below average age from the dataset.
Requirements:
- Cannot use any built-ins except filter(), map(), and reduce().
- Apply higher-order functions to your solution.
Dataset:
var dataSet = [
{
"name": "Maura Glass",
"age": 60,
"math": 97,
"english": 63,
"yearsOfEducation": 4
},
{
"name": "James Gates",
"age": 55,
"math": 72,
"english": 96,
"yearsOfEducation": 10
},
{
"name": "Mills Morris",
"age": 26,
"math": 83,
"english": 77,
"yearsOfEducation": 10
},
{
"name": "Deena Morton",
"age": 57,
"math": 63,
"english": 63,
"yearsOfEducation": 10
},
{
"name": "Edith Roth",
"age": 38,
"math": 79,
"english": 94,
"yearsOfEducation": 10
},
{
"name": "Marva Morse",
"age": 31,
"math": 93,
"english": 78,
"yearsOfEducation": 9
},
{
"name": "Etta Potts",
"age": 48,
"math": 57,
"english": 93,
"yearsOfEducation": 7
},
{
"name": "Tate Moss",
"age": 22,
"math": 83,
"english": 64,
"yearsOfEducation": 8
},
{
"name": "Sanders Burris",
"age": 27,
"math": 65,
"english": 66,
"yearsOfEducation": 5
},
{
"name": "Latoya Malone",
"age": 35,
"math": 100,
"english": 100,
"yearsOfEducation": 5
},
{
"name": "Wade Foreman",
"age": 25,
"math": 76,
"english": 87,
"yearsOfEducation": 10
},
{
"name": "Miller Valentine",
"age": 31,
"math": 56,
"english": 89,
"yearsOfEducation": 6
},
{
"name": "Rita Olson",
"age": 53,
"math": 100,
"english": 52,
"yearsOfEducation": 6
},
{
"name": "Potter Newton",
"age": 29,
"math": 91,
"english": 75,
"yearsOfEducation": 5
},
{
"name": "Madeline Bartlett",
"age": 23,
"math": 60,
"english": 74,
"yearsOfEducation": 10
},
{
"name": "Tamara Tran",
"age": 46,
"math": 73,
"english": 78,
"yearsOfEducation": 4
},
{
"name": "Elena Evans",
"age": 43,
"math": 60,
"english": 82,
"yearsOfEducation": 10
},
{
"name": "Cote Merrill",
"age": 55,
"math": 86,
"english": 63,
"yearsOfEducation": 7
},
{
"name": "Madeleine Brennan",
"age": 52,
"math": 82,
"english": 88,
"yearsOfEducation": 4
},
{
"name": "Alford Weber",
"age": 38,
"math": 71,
"english": 85,
"yearsOfEducation": 4
},
{
"name": "Kirsten Daniel",
"age": 35,
"math": 86,
"english": 61,
"yearsOfEducation": 8
},
{
"name": "Melton Chan",
"age": 26,
"math": 55,
"english": 96,
"yearsOfEducation": 4
},
{
"name": "Mcmahon Woodward",
"age": 54,
"math": 56,
"english": 63,
"yearsOfEducation": 9
},
{
"name": "Helga Monroe",
"age": 29,
"math": 79,
"english": 92,
"yearsOfEducation": 5
},
{
"name": "Patricia Herrera",
"age": 46,
"math": 94,
"english": 99,
"yearsOfEducation": 10
},
{
"name": "Mccullough Lambert",
"age": 56,
"math": 65,
"english": 96,
"yearsOfEducation": 8
},
{
"name": "Haynes Davidson",
"age": 60,
"math": 86,
"english": 50,
"yearsOfEducation": 5
}
]
Homework Answers
var dataSet = [
{
"name": "Maura Glass",
"age": 60,
"math": 97,
"english": 63,
"yearsOfEducation": 4
},
{
"name": "James Gates",
"age": 55,
"math": 72,
"english": 96,
"yearsOfEducation": 10
},
{
"name": "Mills Morris",
"age": 26,
"math": 83,
"english": 77,
"yearsOfEducation": 10
},
{
"name": "Deena Morton",
"age": 57,
"math": 63,
"english": 63,
"yearsOfEducation": 10
},
{
"name": "Edith Roth",
"age": 38,
"math": 79,
"english": 94,
"yearsOfEducation": 10
},
{
"name": "Marva Morse",
"age": 31,
"math": 93,
"english": 78,
"yearsOfEducation": 9
},
{
"name": "Etta Potts",
"age": 48,
"math": 57,
"english": 93,
"yearsOfEducation": 7
},
{
"name": "Tate Moss",
"age": 22,
"math": 83,
"english": 64,
"yearsOfEducation": 8
},
{
"name": "Sanders Burris",
"age": 27,
"math": 65,
"english": 66,
"yearsOfEducation": 5
},
{
"name": "Latoya Malone",
"age": 35,
"math": 100,
"english": 100,
"yearsOfEducation": 5
},
{
"name": "Wade Foreman",
"age": 25,
"math": 76,
"english": 87,
"yearsOfEducation": 10
},
{
"name": "Miller Valentine",
"age": 31,
"math": 56,
"english": 89,
"yearsOfEducation": 6
},
{
"name": "Rita Olson",
"age": 53,
"math": 100,
"english": 52,
"yearsOfEducation": 6
},
{
"name": "Potter Newton",
"age": 29,
"math": 91,
"english": 75,
"yearsOfEducation": 5
},
{
"name": "Madeline Bartlett",
"age": 23,
"math": 60,
"english": 74,
"yearsOfEducation": 10
},
{
"name": "Tamara Tran",
"age": 46,
"math": 73,
"english": 78,
"yearsOfEducation": 4
},
{
"name": "Elena Evans",
"age": 43,
"math": 60,
"english": 82,
"yearsOfEducation": 10
},
{
"name": "Cote Merrill",
"age": 55,
"math": 86,
"english": 63,
"yearsOfEducation": 7
},
{
"name": "Madeleine Brennan",
"age": 52,
"math": 82,
"english": 88,
"yearsOfEducation": 4
},
{
"name": "Alford Weber",
"age": 38,
"math": 71,
"english": 85,
"yearsOfEducation": 4
},
{
"name": "Kirsten Daniel",
"age": 35,
"math": 86,
"english": 61,
"yearsOfEducation": 8
},
{
"name": "Melton Chan",
"age": 26,
"math": 55,
"english": 96,
"yearsOfEducation": 4
},
{
"name": "Mcmahon Woodward",
"age": 54,
"math": 56,
"english": 63,
"yearsOfEducation": 9
},
{
"name": "Helga Monroe",
"age": 29,
"math": 79,
"english": 92,
"yearsOfEducation": 5
},
{
"name": "Patricia Herrera",
"age": 46,
"math": 94,
"english": 99,
"yearsOfEducation": 10
},
{
"name": "Mccullough Lambert",
"age": 56,
"math": 65,
"english": 96,
"yearsOfEducation": 8
},
{
"name": "Haynes Davidson",
"age": 60,
"math": 86,
"english": 50,
"yearsOfEducation": 5
}
]
var i;
for(i=0;i<dataSet.length;i++)
{
if(dataSet[i]["age"]<50 &&
dataSet[i]["math"]>50)
{
document.write(dataSet[i]["name"].slice(0,dataSet[i]["name"].indexOf("
")));
document.write("<br/>");
}
}
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