infmortrate <-
structure(list(country = structure(c(1L, 146L, 126L, 182L, 40L, 
85L, 41L, 6L, 32L, 123L, 138L, 177L, 46L, 65L, 62L, 147L, 47L, 
115L, 184L, 73L, 45L, 195L, 221L, 50L, 164L, 151L, 206L, 34L, 
22L, 36L, 189L, 84L, 219L, 129L, 111L, 187L, 174L, 35L, 220L, 
114L, 56L, 87L, 172L, 122L, 198L, 72L, 17L, 33L, 77L, 92L, 139L, 
213L, 105L, 141L, 183L, 24L, 154L, 94L, 25L, 203L, 63L, 95L, 
106L, 194L, 197L, 135L, 86L, 205L, 110L, 188L, 14L, 222L, 93L, 
200L, 137L, 125L, 107L, 38L, 82L, 201L, 3L, 60L, 132L, 202L, 
104L, 128L, 155L, 145L, 170L, 156L, 21L, 58L, 212L, 28L, 215L, 
214L, 88L, 61L, 116L, 59L, 157L, 10L, 181L, 131L, 74L, 31L, 44L, 
196L, 103L, 165L, 43L, 173L, 113L, 48L, 192L, 150L, 136L, 75L, 
124L, 218L, 29L, 100L, 8L, 2L, 169L, 133L, 199L, 15L, 11L, 167L, 
57L, 152L, 18L, 204L, 208L, 176L, 153L, 130L, 30L, 81L, 68L, 
162L, 9L, 27L, 16L, 163L, 80L, 186L, 211L, 166L, 4L, 49L, 53L, 
140L, 26L, 207L, 121L, 112L, 160L, 109L, 42L, 168L, 216L, 64L, 
161L, 78L, 39L, 179L, 158L, 175L, 118L, 19L, 51L, 210L, 67L, 
148L, 143L, 90L, 193L, 79L, 71L, 37L, 52L, 144L, 171L, 217L, 
159L, 209L, 12L, 66L, 117L, 119L, 20L, 97L, 13L, 55L, 180L, 108L, 
98L, 191L, 102L, 96L, 5L, 142L, 54L, 127L, 83L, 76L, 149L, 7L, 
69L, 70L, 185L, 99L, 91L, 120L, 89L, 190L, 178L, 23L, 101L, 134L
), .Label = c("Afghanistan", "Albania", "Algeria", "American Samoa", 
"Andorra", "Angola", "Anguilla", "Antigua and Barbuda", "Argentina", 
"Armenia", "Aruba", "Australia", "Austria", "Azerbaijan", "Bahamas, The", 
"Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium", "Belize", 
"Benin", "Bermuda", "Bhutan", "Bolivia", "Bosnia and Herzegovina", 
"Botswana", "Brazil", "British Virgin Islands", "Brunei", "Bulgaria", 
"Burkina Faso", "Burma", "Burundi", "Cambodia", "Cameroon", "Canada", 
"Cape Verde", "Cayman Islands", "Central African Republic", "Chad", 
"Chile", "China", "Colombia", "Comoros", "Congo, Democratic Republic of the", 
"Congo, Republic of the", "Cook Islands", "Costa Rica", "Cote d'Ivoire", 
"Croatia", "Cuba", "Cyprus", "Czech Republic", "Denmark", "Djibouti", 
"Dominica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", 
"Equatorial Guinea", "Eritrea", "Estonia", "Ethiopia", "European Union", 
"FaroeIslands", "Fiji", "Finland", "France", "French Polynesia", 
"Gabon", "Gambia, The", "Gaza Strip", "Georgia", "Germany", "Ghana", 
"Gibraltar", "Greece", "Greenland", "Grenada", "Guatemala", "Guernsey", 
"Guinea", "Guinea-Bissau", "Guyana", "Haiti", "Honduras", "Hong Kong", 
"Hungary", "Iceland", "India", "Indonesia", "Iran", "Iraq", "Ireland", 
"Isle of Man", "Israel", "Italy", "Jamaica", "Japan", "Jersey", 
"Jordan", "Kazakhstan", "Kenya", "Kiribati", "Korea, North", 
"Korea, South", "Kuwait", "Kyrgyzstan", "Laos", "Latvia", "Lebanon", 
"Lesotho", "Liberia", "Libya", "Liechtenstein", "Lithuania", 
"Luxembourg", "Macau", "Macedonia", "Madagascar", "Malawi", "Malaysia", 
"Maldives", "Mali", "Malta", "Marshall Islands", "Mauritania", 
"Mauritius", "Mexico", "Micronesia, Federated States of", "Moldova", 
"Monaco", "Mongolia", "Montserrat", "Morocco", "Mozambique", 
"Namibia", "Nauru", "Nepal", "Netherlands", "New Caledonia", 
"New Zealand", "Nicaragua", "Niger", "Nigeria", "NorthernMariana Islands", 
"Norway", "Oman", "Pakistan", "Palau", "Panama", "Papua New Guinea", 
"Paraguay", "Peru", "Philippines", "Poland", "Portugal", "Puerto Rico", 
"Qatar", "Romania", "Russia", "Rwanda", "Saint Helena, Ascension, and Tristan da Cunha", 
"Saint Kitts and Nevis", "Saint Lucia", "Saint Pierre and Miquelon", 
"Saint Vincent and the Grenadines", "Samoa", "San Marino", "Sao Tome and Principe", 
"Saudi Arabia", "Senegal", "Serbia", "Seychelles", "Sierra Leone", 
"Singapore", "Slovakia", "Slovenia", "Solomon Islands", "Somalia", 
"South Africa", "South Sudan", "Spain", "Sri Lanka", "Sudan", 
"Suriname", "Swaziland", "Sweden", "Switzerland", "Syria", "Taiwan", 
"Tajikistan", "Tanzania", "Thailand", "Timor-Leste", "Togo", 
"Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Turkmenistan", 
"Turks and Caicos Islands", "Tuvalu", "Uganda", "Ukraine", "United Arab Emirates", 
"United Kingdom", "United States", "Uruguay", "Uzbekistan", "Vanuatu", 
"Venezuela", "Vietnam", "Virgin Islands", "Wallis and Futuna", 
"West Bank", "Western Sahara", "Yemen", "Zambia", "Zimbabwe"), class = "factor"), 
    inf_mort_rate = c(121.63, 109.98, 109.08, 103.72, 97.170000000000002, 
    94.400000000000006, 93.609999999999999, 83.530000000000001, 
    79.840000000000003, 79.019999999999996, 76.849999999999994, 
    76.640000000000001, 76.629999999999995, 75.290000000000006, 
    75.180000000000007, 74.359999999999999, 74.219999999999999, 
    72.709999999999994, 71.829999999999998, 69.579999999999998, 
    68.969999999999999, 65.739999999999995, 64.609999999999999, 
    63.200000000000003, 62.509999999999998, 61.270000000000003, 
    61.219999999999999, 60.32, 60.030000000000001, 59.700000000000003, 
    59.57, 59.039999999999999, 58.960000000000001, 58.93, 57.770000000000003, 
    55.630000000000003, 55.159999999999997, 54.079999999999998, 
    53.5, 53.439999999999998, 53.310000000000002, 52.439999999999998, 
    51.829999999999998, 50.090000000000003, 49.869999999999997, 
    49, 48.990000000000002, 47.740000000000002, 47.259999999999998, 
    46.07, 45.609999999999999, 45.57, 43.609999999999999, 43.130000000000003, 
    42.670000000000002, 42.170000000000002, 42.049999999999997, 
    41.109999999999999, 40.939999999999998, 40.890000000000001, 
    40.340000000000003, 40.25, 37.68, 37.329999999999998, 36.780000000000001, 
    36, 35.590000000000003, 33.549999999999997, 30.780000000000001, 
    28.940000000000001, 28.760000000000002, 28.23, 26.989999999999998, 
    26.73, 26.489999999999998, 26.460000000000001, 26.210000000000001, 
    26.02, 25.16, 24.98, 24.899999999999999, 24.23, 23.510000000000002, 
    23.07, 23.059999999999999, 22.93, 22.239999999999998, 21.859999999999999, 
    21.850000000000001, 21.5, 21.370000000000001, 21.300000000000001, 
    21.199999999999999, 20.5, 20.239999999999998, 20.18, 19.850000000000001, 
    19.66, 19.34, 19.059999999999999, 18.75, 18.210000000000001, 
    17.25, 16.77, 16.550000000000001, 16.129999999999999, 15.92, 
    15.9, 15.83, 15.800000000000001, 15.619999999999999, 15.609999999999999, 
    15.32, 15.300000000000001, 15.119999999999999, 14.949999999999999, 
    14.69, 14.68, 14.57, 14.470000000000001, 14.43, 14.300000000000001, 
    14.17, 14.119999999999999, 13.859999999999999, 13.65, 13.210000000000001, 
    13.09, 12.51, 12.390000000000001, 12.380000000000001, 12.1, 
    11.630000000000001, 11.630000000000001, 11.59, 11.35, 11.32, 
    11.199999999999999, 11.15, 11.119999999999999, 10.73, 10.73, 
    10.52, 10.49, 10.199999999999999, 9.8800000000000008, 9.8300000000000001, 
    9.4700000000000006, 9.4399999999999995, 9.4299999999999997, 
    9.4199999999999999, 9.1999999999999993, 9.0500000000000007, 
    8.5099999999999998, 8.4700000000000006, 8.3800000000000008, 
    8.3200000000000003, 8.2400000000000002, 7.9000000000000004, 
    7.8700000000000001, 7.3600000000000003, 7.29, 7.0899999999999999, 
    6.9400000000000004, 6.8099999999999996, 6.5499999999999998, 
    6.4900000000000002, 6.4699999999999998, 6.4199999999999999, 
    6.4000000000000004, 6.1799999999999997, 6.1600000000000001, 
    6.0599999999999996, 5.9800000000000004, 5.9400000000000004, 
    5.6900000000000004, 5.6200000000000001, 5.2400000000000002, 
    5.0999999999999996, 4.9199999999999999, 4.8799999999999999, 
    4.8499999999999996, 4.8300000000000001, 4.7199999999999998, 
    4.6500000000000004, 4.6100000000000003, 4.5999999999999996, 
    4.5599999999999996, 4.5499999999999998, 4.4900000000000002, 
    4.3899999999999997, 4.3899999999999997, 4.2800000000000002, 
    4.2699999999999996, 4.2599999999999998, 4.1900000000000004, 
    4.1200000000000001, 4.0800000000000001, 4.0700000000000003, 
    4.0300000000000002, 3.9399999999999999, 3.8100000000000001, 
    3.7599999999999998, 3.73, 3.7000000000000002, 3.6499999999999999, 
    3.52, 3.5099999999999998, 3.5, 3.4399999999999999, 3.3999999999999999, 
    3.3700000000000001, 3.3700000000000001, 3.3599999999999999, 
    3.1800000000000002, 3.1699999999999999, 2.8999999999999999, 
    2.7400000000000002, 2.6499999999999999, 2.4700000000000002, 
    2.21, 1.8)), row.names = c(NA, -222L), class = c("tbl_df", 
"tbl", "data.frame"))