Iris Dataset Analysis: Sepal Width and Length by Species in R

To\u0020provide\u0020summary\u0020statistics\u0020for\u0020the\u0020septal.width\u0020and\u0020septal.length\u0020variables\u0020of\u0020the\u0020iris\u0020dataset\u0020grouped\u0020by\u0020species,\u0020we\u0020can\u0020use\u0020the\u0020aggregate()\u0020function\u0020in\u0020R.\u0020Here's\u0020the\u0020code:\n\nR\n#\u0020Load\u0020the\u0020iris\u0020dataset\ndata(iris)\n\n#\u0020Group\u0020the\u0020data\u0020by\u0020species\u0020and\u0020calculate\u0020the\u0020summary\u0020statistics\nsummary_stats\u0020<-\u0020aggregate(cbind(Sepal.Width,\u0020Sepal.Length)\u0020~\u0020Species,\u0020data\u0020=\u0020iris,\u0020FUN\u0020=\u0020function(x)\u0020c(mean\u0020=\u0020mean(x),\u0020min\u0020=\u0020min(x),\u0020max\u0020=\u0020max(x),\u0020sd\u0020=\u0020sd(x),\u0020quantile(x)))\n\n#\u0020View\u0020the\u0020summary\u0020statistics\nsummary_stats\n\n\nThis\u0020code\u0020will\u0020produce\u0020the\u0020following\u0020output:\n\n\n Species Sepal.Width.mean Sepal.Width.min Sepal.Width.max Sepal.Width.sd Sepal.Width.0% Sepal.Width.25% Sepal.Width.50% Sepal.Width.75% Sepal.Width.100% Sepal.Length.mean Sepal.Length.min Sepal.Length.max Sepal.Length.sd Sepal.Length.0% Sepal.Length.25% Sepal.Length.50% Sepal.Length.75% Sepal.Length.100%\n1 setosa 3.428 2.300 4.400 0.379 2.300 3.200 3.400 3.675 4.400 5.006 4.300 5.800 0.352 4.300 4.800 5.000 5.200 5.800\n2 versicolor 2.770 2.000 3.400 0.314 2.000 2.525 2.800 3.000 3.400 5.936 4.900 7.000 0.516 4.900 5.600 5.900 6.300 7.000\n3 virginica 2.974 2.200 3.800 0.322 2.200 2.800 3.000 3.175 3.800 6.588 4.900 7.900 0.636 4.900 6.225 6.500 6.900 7.900\n\n\nThis\u0020table\u0020provides\u0020the\u0020summary\u0020statistics\u0020for\u0020the\u0020sepal\u0020width\u0020and\u0020sepal\u0020length\u0020variables\u0020for\u0020each\u0020species\u0020in\u0020the\u0020iris\u0020dataset.\u0020Here's\u0020what\u0020each\u0020column\u0020in\u0020the\u0020table\u0020means:\n\n-\u0020Species:\u0020The\u0020name\u0020of\u0020the\u0020species\u0020(setosa,\u0020versicolor,\u0020or\u0020virginica)\n-\u0020Sepal.Width.mean:\u0020The\u0020mean\u0020sepal\u0020width\u0020for\u0020that\u0020species\n-\u0020Sepal.Width.min:\u0020The\u0020minimum\u0020sepal\u0020width\u0020for\u0020that\u0020species\n-\u0020Sepal.Width.max:\u0020The\u0020maximum\u0020sepal\u0020width\u0020for\u0020that\u0020species\n-\u0020Sepal.Width.sd:\u0020The\u0020standard\u0020deviation\u0020of\u0020sepal\u0020width\u0020for\u0020that\u0020species\n-\u0020Sepal.Width.0%:\u0020The\u0020minimum\u0020sepal\u0020width\u0020value\u0020for\u0020that\u0020species\n-\u0020Sepal.Width.25%:\u0020The\u0020first\u0020quartile\u0020(25th\u0020percentile)\u0020of\u0020sepal\u0020width\u0020values\u0020for\u0020that\u0020species\n-\u0020Sepal.Width.50%:\u0020The\u0020median\u0020(50th\u0020percentile)\u0020sepal\u0020width\u0020value\u0020for\u0020that\u0020species\n-\u0020Sepal.Width.75%:\u0020The\u0020third\u0020quartile\u0020(75th\u0020percentile)\u0020of\u0020sepal\u0020width\u0020values\u0020for\u0020that\u0020species\n-\u0020Sepal.Width.100%:\u0020The\u0020maximum\u0020sepal\u0020width\u0020value\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.mean:\u0020The\u0020mean\u0020sepal\u0020length\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.min:\u0020The\u0020minimum\u0020sepal\u0020length\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.max:\u0020The\u0020maximum\u0020sepal\u0020length\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.sd:\u0020The\u0020standard\u0020deviation\u0020of\u0020sepal\u0020length\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.0%:\u0020The\u0020minimum\u0020sepal\u0020length\u0020value\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.25%:\u0020The\u0020first\u0020quartile\u0020(25th\u0020percentile)\u0020of\u0020sepal\u0020length\u0020values\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.50%:\u0020The\u0020median\u0020(50th\u0020percentile)\u0020sepal\u0020length\u0020value\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.75%:\u0020The\u0020third\u0020quartile\u0020(75th\u0020percentile)\u0020of\u0020sepal\u0020length\u0020values\u0020for\u0020that\u0020species\n-\u0020Sepal.Length.100%:\u0020The\u0020maximum\u0020sepal\u0020length\u0020value\u0020for\u0020that\u0020species\n\nWe\u0020can\u0020interpret\u0020the\u0020results\u0020as\u0020follows:\n\n-\u0020Setosa\u0020has\u0020the\u0020smallest\u0020sepal\u0020width\u0020and\u0020sepal\u0020length\u0020of\u0020the\u0020three\u0020species,\u0020with\u0020a\u0020mean\u0020sepal\u0020width\u0020of\u00203.428\u0020and\u0020a\u0020mean\u0020sepal\u0020length\u0020of\u00205.006.\n-\u0020Virginica\u0020has\u0020the\u0020largest\u0020sepal\u0020width\u0020and\u0020sepal\u0020length\u0020of\u0020the\u0020three\u0020species,\u0020with\u0020a\u0020mean\u0020sepal\u0020width\u0020of\u00202.974\u0020and\u0020a\u0020mean\u0020sepal\u0020length\u0020of\u00206.588.\n-\u0020Versicolor\u0020has\u0020intermediate\u0020values\u0020for\u0020sepal\u0020width\u0020and\u0020sepal\u0020length,\u0020with\u0020a\u0020mean\u0020sepal\u0020width\u0020of\u00202.770\u0020and\u0020a\u0020mean\u0020sepal\u0020length\u0020of\u00205.936.\n-\u0020The\u0020standard\u0020deviation\u0020values\u0020for\u0020sepal\u0020width\u0020and\u0020sepal\u0020length\u0020are\u0020all\u0020relatively\u0020small,\u0020indicating\u0020that\u0020the\u0020values\u0020are\u0020tightly\u0020clustered\u0020around\u0020the\u0020mean\u0020for\u0020each\u0020species.\n-\u0020The\u0020minimum\u0020and\u0020maximum\u0020values\u0020for\u0020sepal\u0020width\u0020and\u0020sepal\u0020length\u0020show\u0020the\u0020range\u0020of\u0020values\u0020for\u0020each\u0020species.\n-\u0020The\u0020quartile\u0020values\u0020show\u0020the\u0020distribution\u0020of\u0020sepal\u0020width\u0020and\u0020sepal\u0020length\u0020values\u0020for\u0020each\u0020species,\u0020with\u0020the\u002050th\u0020percentile\u0020(median)\u0020being\u0020close\u0020to\u0020the\u0020mean\u0020for\u0020each\u0020variable\u0020and\u0020species.