Pagination in angularjs

In the below code we have seen the searching and sorting for the table, Here we can see how to paginate the table.

In order to paginate the table we have to create write dir-paginate instead of ng-repeat, we have to write paginate.js file in the script by following below link.
https://github.com/michaelbromley/angularUtils/tree/master/src/directives/pagination.
In the above link copy the dir-paginate.js file and add in the script.js ,
write the table values as

<tr dir-paginate="record in records | orderBy:sortType:sortReverse  | filter: 'myFilter' |itemsPerPage:5">
                    <td>{{ record.Id }}</td>
                    <td>{{ record.Name }}</td>
                    <td>{{ record.Country }}</td>
                    <td>{{ record.Salary }}</td>
                    <td>{{ record.Age }}</td>
                </tr>
<dir-pagination-controls max-size="5"
                                 direction-links="true"
                                 boundary-links="true">
        </dir-pagination-controls>
 var app = angular.module("angularTable", ['angularUtils.directives.dirPagination']);
        app.controller("listdata", function ($scope) {

            $scope.sortType = 'Name';
            $scope.sortReverse = false;
            $scope.records = [
                  {
                      "Id": "1",
                      "Name": "John",
                      "Country": "America",
                      "Salary": "One",
                      "Age": "24"
                  },
              {
                  "Id": "2",
                  "Name": "Ram",
                  "Country": "India",
                  "Salary": "Two",
                  "Age": "27"
              },
              {
                  "Id": "3",
                  "Name": "Raju",
                  "Country": "India",
                  "Salary": "Three",
                  "Age": "26"
              },
              {
                  "Id": "4",
                  "Name": "Ravi",
                  "Country": "India",
                  "Salary": "Four",
                  "Age": "31"
              },
              {
                  "Id": "5",
                  "Name": "Raghu",
                  "Country": "India",
                  "Salary": "Five",
                  "Age": "35"
              },
              {
                  "Id": "6",
                  "Name": "Ravan",
                  "Country": "India",
                  "Salary": "Six",
                  "Age": "33"
              },
              {
                  "Id": "7",
                  "Name": "Samy",
                  "Country": "India",
                  "Salary": "Seven",
                  "Age": "30"
              },
              {
                  "Id": "8",
                  "Name": "samuel",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "30"
              },
              {
                  "Id": "9",
                  "Name": "sony",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "31"
              },
              {
                  "Id": "10",
                  "Name": "Gopal",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "32"
              },
              {
                  "Id": "11",
                  "Name": "Gopi",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "33"
              },
              {
                  "Id": "12",
                  "Name": "Govind",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "34"
              },
              {
                  "Id": "13",
                  "Name": "rohit",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "35"
              },
              {
                  "Id": "14",
                  "Name": "suri",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "36"
              },
              {
                  "Id": "15",
                  "Name": "prashanth",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "37"
              },
              {
                  "Id": "16",
                  "Name": "george",
                  "Country": "India",
                  "Salary": "Eight",
                  "Age": "38"
              }
            ];
        });