diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..20fd6f3
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+# Test
+test/
\ No newline at end of file
diff --git a/dataset/file.csv b/dataset/file.csv
new file mode 100644
index 0000000..ff56585
--- /dev/null
+++ b/dataset/file.csv
@@ -0,0 +1,3 @@
+24,43,"Apple"
+24,22,"Mango"
+21,54,"Apple"
diff --git a/example.php b/example.php
index 2094e8c..2a5ff63 100644
--- a/example.php
+++ b/example.php
@@ -16,6 +16,4 @@
 echo "\n";
 print_r($data->getPrediction());
 echo "\n";
-print_r($data->getSquare());
-
-
+print_r($data->getSquare());
\ No newline at end of file
diff --git a/src/Knn.php b/src/Knn.php
index 157bfb2..593e885 100644
--- a/src/Knn.php
+++ b/src/Knn.php
@@ -1,13 +1,13 @@
 <?php
 
-/*
+require_once('KnnCsv.php');
 
-This is a simple Machine Learning program using the KNN or K - Nearest Neighbor algorithm. Maybe the code below can't be read properly, so I try to make this program so that it can be read better and for anyone who wants to use it is welcome.
+/* This is a simple Machine Learning program using the KNN or K - Nearest Neighbor algorithm.
+Maybe the code below can't be read properly, so I try to make this program so that it can
+be read better and for anyone who wants to use it is welcome.
 
 Author: Khoerul Umam
-Email: khoerul27@gmail.com
-
- */
+Email: khoerul27@gmail.com */
 
 class Knn
 {
diff --git a/src/KnnCsv.php b/src/KnnCsv.php
new file mode 100644
index 0000000..a547470
--- /dev/null
+++ b/src/KnnCsv.php
@@ -0,0 +1,34 @@
+<?php
+
+class KnnCsv
+{
+
+    protected $filePath;
+    public $sample;
+    public $label;
+    public $result;
+
+    public function __construct($filePath, $predictData, $k = 3)
+    {
+        $this->$filePath = $filePath;
+
+        $file = fopen('../dataset/' . $filePath, 'r');
+        while (($line = fgetcsv($file)) !== false) {
+
+            $resultCsv[] = $line;
+        }
+        fclose($file);
+
+        for ($i = 0; $i < count($resultCsv); $i++) {
+
+            $label[] = end($resultCsv[$i]);
+            unset($resultCsv[$i][count($resultCsv[$i]) - 1]);
+        }
+
+        $this->sample = $resultCsv;
+        $this->label = $label;
+
+        $result = new Knn($this->sample, $predictData, $this->label, $k);
+        $this->result = $result->result;
+    }
+}
\ No newline at end of file
diff --git a/tests/csv.php b/tests/csv.php
new file mode 100644
index 0000000..f8863d4
--- /dev/null
+++ b/tests/csv.php
@@ -0,0 +1,19 @@
+<?php
+
+require '../src/Knn.php';
+// $predict = [3, 2];
+// $test = [[24, 43], [24, 22]];
+// $label = ['A', 'M'];
+
+// $test = [[47, 5, 6], [3, 64, 3], [5, 7, 7], [10, 6, 1], [12, 9, 8], [11, 1, 2]]; //Sample Data
+// $label = ['a', 'a', 'a', 'b', 'b', 'c']; //Label Data. [7,5,6] labeled by a, [10,6,1] labeled by b, etc
+// $key = 3;     //optional. Default is 3
+$predict = [1, 7]; //Input
+
+// $csv = new KnnCsv('file.csv', $predict, 3);
+
+// print_r($csv->sample);
+// print_r($test);
+
+$data = new KnnCsv('file.csv', $predict, 3);
+echo $data->result;
diff --git a/tests/file.csv b/tests/file.csv
new file mode 100644
index 0000000..621e1d5
--- /dev/null
+++ b/tests/file.csv
@@ -0,0 +1,2 @@
+24,43,53,52,52,42,"Apple"
+24,22,24,64,13,42,"Mango"