Cont'd Day1, finished level1 and level2 exercises for classes, still need to do level3, after completion I will be ready to start Day2

solutions/day-01/classes/level1_and_2.js

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+// Create an Animal class. The class will have name, age, color, legs properties and create different methods
+class Animal {
+    constructor(names,age,color,legs){
+        this.names = names;
+        this.age = age;
+        this.color = color;
+        this.legs = legs
+    }
+    get animalName(){
+        return this.names;
+    }
+
+    set newName(name){
+        this.names = name;
+    }
+    
+}
+
+// Create a Dog and Cat child class from the Animal Class.
+// Override the method you create in Animal class
+class Dog extends Animal{
+    constructor(names,age,color,legs, type = 'Dog'){
+    super(names,age,color,legs)
+    this.type = type
+    }
+}
+class Cat extends Animal{
+    constructor(names,age,color,legs, type = 'Cat'){
+    super(names,age,color,legs)
+    this.type = type
+    }
+}
+
+
+let dog = new Dog('Spot', 3, 'brown', 4); // create new instance of dog using name, age, color, legs
+dog.newName = 'Carl' // change name 
+let cat = new Cat('Garfield', 7, 'Orange', 3);
+cat.newName = 'Chloe'
+console.log(dog, `The dogs name is ` + dog.animalName); //  display dog object and name of dog
+console.log(cat, `The cats name is ` + cat.animalName);

solutions/day-01/classes/level3.js

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+/*Let's try to develop a program which calculate measure of central tendency 
+of a sample(mean, median, mode) and measure of variability(range, variance, standard deviation). 
+In addition to those measures find the min, max, count, percentile, and frequency distribution of 
+the sample. You can create a class called Statistics and create all the functions which do statistical 
+calculations as method for the Statistics class. Check the output below. */
+
+ages = [31, 26, 34, 37, 27, 26, 32, 32, 26, 27, 27, 24, 32, 33, 27, 25, 26, 38, 37, 31, 34, 24, 33, 29, 26]
+
+class Statistics{
+    //code goes here
+}
+
+// console.log('Count:', statistics.count()) // 25
+// console.log('Sum: ', statistics.sum()) // 744
+// console.log('Min: ', statistics.min()) // 24
+// console.log('Max: ', statistics.max()) // 38
+// console.log('Range: ', statistics.range() // 14
+// console.log('Mean: ', statistics.mean()) // 30
+// console.log('Median: ',statistics.median()) // 29
+// console.log('Mode: ', statistics.mode()) // {'mode': 26, 'count': 5}
+// console.log('Variance: ',statistics.var()) // 17.5
+// console.log('Standard Deviation: ', statistics.std()) // 4.2
+// console.log('Variance: ',statistics.var()) // 17.5
+// console.log('Frequency Distribution: ',statistics.freqDist()) // [(20.0, 26), (16.0, 27), (12.0, 32), (8.0, 37), (8.0, 34), (8.0, 33), (8.0, 31), (8.0, 24), (4.0, 38), (4.0, 29), (4.0, 25)]
+
+// you output should look like this
+// console.log(statistics.describe())
+// Count: 25
+// Sum:  744
+// Min:  24
+// Max:  38
+// Range:  14
+// Mean:  30
+// Median:  29
+// Mode:  (26, 5)
+// Variance:  17.5
+// Standard Deviation:  4.2
+// Frequency Distribution: [(20.0, 26), (16.0, 27), (12.0, 32), (8.0, 37), (8.0, 34), (8.0, 33), (8.0, 31), (8.0, 24), (4.0, 38), (4.0, 29), (4.0, 25)]