devonyu

// 1) Challenges starting from question 139 seem to be calling for methods that I do not know about, nor do I know what to google. Do you have suggestion on how best to solve for these?


// 2) I would like to see sort() being used
// var array1 = [1, 30, 4, 21, 100000, 2 ,3 ,445 ,3, 345, 34567,];
// console.log(array1.sort(function(a, b) {
//   return a - b;
//   }))

// 3) I would like to talk about how to create new lines

devonyu

// Exercise 1 (conditionals)
// Write a function lesserNum which takes in two integer arguments, and returns the lesser of the two. If they're equal, return either.

function lesserNum(num1, num2) {
  if (num1 === num2) {
    return num1;
  }
  return num1 > num2 ?  num2 : num1;
}
// You should be able to call it like so:

devonyu

// Self Assessment 3
// Note:
// Most of the problems in this assessment will not have function skeletons created for you. Please read the prompts and carefully construct your functions based on the function names and number of arguments it expects. Without properly named functions, your submissions will not pass the back-end tests.

// e.g. sayHello (camel-cased function name) is not the same function as sayhello (non-camel-cased function name)

// Exercise 1 (writing functions)
// Write a function identity which expects 1 argument and simply returns that input value.

// Calling your function should result in:

devonyu

// If you can take a basic example to explain how to write a test function

function testEquality(actual, expected, testName) {
  if (actual.length === expected.length) {
    console.log('pass');
  } else if (actual !== expected) {
    console.log('FAILED TEST: ' + testName + 'Expected: ' + expected + ' but got: ' + actual);
  }
}

devonyu

var salesTeam = [{name: {first: 'Aleen', last: 'Atkins'}, age: 26, sales: '$2314'},
 		{name: {first: 'Denese', last: 'Dossett'}, age: 29, sales: '$9248'},
 		{name: {first: 'Douglas', last: 'Denney'}, age: 53, sales: '$5058'},
 		{name: {first: 'Earline', last: 'Erickson'}, age: 19, sales: '$18876'},
 		{name: {first: 'Herman', last: 'Hazell'}, age: 25, sales: '$2746'},
 		{name: {first: 'Homer', last: 'Hirth'}, age: 26, sales: '$474'},
 		{name: {first: 'Hwa', last: 'Heidt'}, age: 53, sales: '$9607'},
 		{name: {first: 'Hyon', last: 'Hampshire'}, age: 46, sales: '$13598'},
 		{name: {first: 'Issac', last: 'Ingerson'}, age: 45, sales: '$5225'},
 		{name: {first: 'Jeraldine', last: 'Joplin'}, age: 39, sales: '$2891'},

devonyu

var salesTeam = [{name: {first: 'Aleen', last: 'Atkins'}, age: 26, sales: '$2314'},
 		{name: {first: 'Alvaro', last: 'Angelos'}, age: 55, sales: '$1668'},
 		{name: {first: 'Denese', last: 'Dossett'}, age: 29, sales: '$9248'},
 		{name: {first: 'Douglas', last: 'Denney'}, age: 53, sales: '$5058'},
 		{name: {first: 'Earline', last: 'Erickson'}, age: 19, sales: '$18876'},
 		{name: {first: 'Herman', last: 'Hazell'}, age: 25, sales: '$2746'},
 		{name: {first: 'Homer', last: 'Hirth'}, age: 26, sales: '$474'},
 		{name: {first: 'Hwa', last: 'Heidt'}, age: 53, sales: '$9607'},
 		{name: {first: 'Hyon', last: 'Hampshire'}, age: 46, sales: '$13598'},
 		{name: {first: 'Issac', last: 'Ingerson'}, age: 45, sales: '$5225'},

devonyu

// Sales Team
// You are managing a sales team and you are interested is analyzing some data related to their age and total sales. Take a moment to review the following data structure you will be analyzing:

var salesTeam = [
 {"name":"Aleen Atkins","salesInfo":{"totalSales":"$2314","numSales":19},"yearBorn":1991},
 {"name":"Alvaro Angelos","salesInfo":{"totalSales":"$1668","numSales":17},"yearBorn":1962},
 {"name":"Denese Dossett","salesInfo":{"totalSales":"$9248","numSales":18},"yearBorn":1988},
 {"name":"Douglas Denney","salesInfo":{"totalSales":"$5058","numSales":15},"yearBorn":1964},
 {"name":"Earline Erickson","salesInfo":{"totalSales":"$18876","numSales":11},"yearBorn":1998},
 {"name":"Herman Hazell","salesInfo":{"totalSales":"$2746","numSales":12},"yearBorn":1992},

devonyu

// Sales Team
// You are managing a sales team and you are interested is analyzing some data related to their age and total sales. Take a moment to review the following data structure you will be analyzing:

var salesTeam = [
 {"name":"Aleen Atkins","salesInfo":{"totalSales":"$2314","numSales":19},"yearBorn":1991},
 {"name":"Alvaro Angelos","salesInfo":{"totalSales":"$1668","numSales":17},"yearBorn":1962},
 {"name":"Denese Dossett","salesInfo":{"totalSales":"$9248","numSales":18},"yearBorn":1988},
 {"name":"Douglas Denney","salesInfo":{"totalSales":"$5058","numSales":15},"yearBorn":1964},
 {"name":"Earline Erickson","salesInfo":{"totalSales":"$18876","numSales":11},"yearBorn":1998},
 {"name":"Herman Hazell","salesInfo":{"totalSales":"$2746","numSales":12},"yearBorn":1992},

devonyu

Sample incoming information from Analytics with updates to local DB

this is data.Messages.Body {"userId":7,"interests":[10,3,2],"ratio":0.155,"numAds":4}
updating userID:  7
this is data.Messages.Body {"userId":8,"interests":[3,6,9],"ratio":0.133,"numAds":4}
updating userID:  8
this is data.Messages.Body {"userId":3,"interests":[10,8,6],"ratio":0.04,"numAds":1}
updating userID:  3
Message Deleted { ResponseMetadata: { RequestId: '3ab162a1-4c53-57d8-a885-30dcd9f4dc6a' } }
Message Deleted { ResponseMetadata: { RequestId: '1b20be58-48a1-5c71-ab96-ec25dd06c3c1' } }