csv file

module3/exo3/subject2.csv

+"","Year","Wheat","Wages"
+"1",1565,41,5
+"2",1570,45,5.05
+"3",1575,42,5.08
+"4",1580,49,5.12
+"5",1585,41.5,5.15
+"6",1590,47,5.25
+"7",1595,64,5.54
+"8",1600,27,5.61
+"9",1605,33,5.69
+"10",1610,32,5.78
+"11",1615,33,5.94
+"12",1620,35,6.01
+"13",1625,33,6.12
+"14",1630,45,6.22
+"15",1635,33,6.3
+"16",1640,39,6.37
+"17",1645,53,6.45
+"18",1650,42,6.5
+"19",1655,40.5,6.6
+"20",1660,46.5,6.75
+"21",1665,32,6.8
+"22",1670,37,6.9
+"23",1675,43,7
+"24",1680,35,7.3
+"25",1685,27,7.6
+"26",1690,40,8
+"27",1695,50,8.5
+"28",1700,30,9
+"29",1705,32,10
+"30",1710,44,11
+"31",1715,33,11.75
+"32",1720,29,12.5
+"33",1725,39,13
+"34",1730,26,13.3
+"35",1735,32,13.6
+"36",1740,27,14
+"37",1745,27.5,14.5
+"38",1750,31,15
+"39",1755,35.5,15.7
+"40",1760,31,16.5
+"41",1765,43,17.6
+"42",1770,47,18.5
+"43",1775,44,19.5
+"44",1780,46,21
+"45",1785,42,23
+"46",1790,47.5,25.5
+"47",1795,76,27.5
+"48",1800,79,28.5
+"49",1805,81,29.5
+"50",1810,99,30
+"51",1815,78,NA
+"52",1820,54,NA
+"53",1821,54,NA
+