accessing_values_in_hashes_and_arrays.rb

# 1. Extract the string 'lemon' and give its data type
fruit = ['apple', 'orange', 'lemon']

p fruit[2]
# string

# 2. Extract the brand ('iPhone'), and the weight, and give the datatype
phone = {
    brand: 'iPhone',
    price: 90000,
    weight: 362
}

p phone[:brand]
# string

# 3. Extract the string 'West Melbourne' starting with restaurant
restaurant = {
    name: 'Biryani House',
    address: {
        street: 'King St',
        suburb: 'West Melbourne'
    }
}

p restaurant[:address][:suburb]

# 4. Starting with fruit_and_veg, extract 'peach'
fruit_and_veg = [
    ['avocado', 'apple'],
    ['grape', 'guava'],
    ['pear', 'pumpkin', 'peach']
]

p fruit_and_veg[2][2]

# 5. Starting with students, produce the number 29
student1 = {
    name: 'Roger',
    age: 36
}

student2 = {
    name: 'Petra',
    age: 28
}

student3 = {
    name: 'Juan Martin',
    age: 29
}

students = [student1, student3]
students.push(student2)
p students[1][:age]

# 6. Starting with teachers, produce 'military jiujitsu'
harrison = {
    role: 'TA',
    hobbies: [
        'running',
        'umpiring'
    ]
}

gretchen = {
    role: 'TA',
    hobbies: [
        'military jiujitsu',
        'reading'
    ]
}

ruegen = {
    role: 'Lead',
    hobbies: [
        'opera',
        'cooking'
    ]
}

teachers = [ruegen, harrison, gretchen]
p teachers[2][:hobbies][0]

# 7. Retrieve a) the string 'doubles', b) the number 20, c) two ways of finding the number 1991, and d) an example of how you would find the number of Wimbledon titles that Monica Seles won from the following structure, starting at sport. (I kept the years as numbers because you might use them to find the number of years between the first and last slams, but they could be represented as strings too.)

mcenroe = {
    name: 'John McEnroe',
    total_majors: 7,
    slam_breakdown: {
        aus_open: [],
        roland_garros: [],
        wimbledon: [1981, 1983, 1984],
        us_open: [1979, 1980, 1981, 1984]
    }
}

federer = {
    name: 'Roger Federer',
    total_majors: 20,
    slam_breakdown: {
        aus_open: [2004, 2006, 2007, 2010, 2017, 2018],
        roland_garros: [2009],
        wimbledon: [2003, 2004, 2005, 2006, 2007, 2009, 2012, 2017],
        us_open: [2004, 2005, 2006, 2007, 2008]
    }
}

sport = {
    name: 'Tennis',
    number_of_players: [
        {
            type: 'singles',
            players: 2
        },
        {
            type: 'doubles',
            players: 4
        }
    ],
    key_players: [
        {
            type: 'female',
            players: [
                {
                    name: 'Steffi Graf',
                    total_majors: 22,
                    slam_breakdown: {
                        aus_open: [1988, 1989, 1990, 1994],
                        roland_garros: [1987, 1988, 1993, 1995, 1996, 1999],
                        wimbledon: [1988, 1989, 1991, 1992, 1993, 1995, 1996],
                        us_open: [1988, 1989, 1993, 1995, 1996]
                    }
                },
                {
                    name: 'Monica Seles',
                    total_majors: 9,
                    slam_breakdown: {
                        aus_open: [1991, 1992, 1993, 1996],
                        roland_garros: [1990, 1991, 1992],
                        wimbledon: [],
                        us_open: [1991, 1992]
                    }
                }
            ]
        },
        {
            type: 'male',
            players: [
                mcenroe,
                federer
            ]
        }
    ]
}

p sport[:number_of_players][1][:type]
p sport[:key_players][1][:players][1][:total_majors]
p sport[:key_players][0][:players][1][:slam_breakdown][:roland_garros].length