Today we will discuss Exploratory Data Analysis (EDA).
This is the process of exploring your data using visualization and transformations and modeling (will discuss modeling more later).
library(tidyverse)
Lets take a look at the diamonds data set and the variable carat.
diamonds
ggplot(data = diamonds) +
geom_histogram(mapping = aes(x = carat), binwidth = 0.5)
![](data:image/png;base64,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)
diamonds %>%
count(cut_width(carat, 0.5))
Looking at the smaller diamonds.
smaller <- diamonds %>%
filter(carat < 3)
diamonds %>% ggplot(mapping = aes(x = carat)) +
geom_histogram(binwidth = 0.1)
![](data:image/png;base64,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)
Look at carat by cut.
smaller %>% ggplot(mapping = aes(x = carat, colour = cut)) +
geom_freqpoly(binwidth = 0.1)
![](data:image/png;base64,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)
Looking for typical values.
smaller %>% ggplot(mapping = aes(x = carat)) +
geom_histogram(binwidth = 0.01)
![](data:image/png;base64,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)
Looking for unusual values. Lets look at the y variable.
diamonds %>% ggplot(mapping = aes(x = y)) +
geom_histogram(binwidth = 0.5)
![](data:image/png;base64,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)
Are there outliers?
diamonds %>% ggplot(mapping = aes(x = y)) +
geom_histogram(binwidth = 0.5) +
coord_cartesian(ylim = c(0, 50))
![](data:image/png;base64,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)
Lets find the outliers.
unusual <- diamonds %>%
filter(y < 3 | y > 20) %>%
select(price, x, y, z) %>%
arrange(y)
unusual
Remove outliers.
diamonds2 <- diamonds %>%
filter(between(y, 3, 20))
Better to convert them to NA, which means not available.
diamonds2 <- diamonds %>%
mutate(y = ifelse(y < 3 | y > 20, NA, y))
Scatterplots.
diamonds2 %>% ggplot(mapping = aes(x = x, y = y)) +
geom_point()
![](data:image/png;base64,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)
ggplot(data = diamonds2, mapping = aes(x = x, y = y)) +
geom_point(na.rm = TRUE)
![](data:image/png;base64,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)
Categorical variable. cut
diamonds %>% ggplot(mapping = aes(x = cut)) +
geom_bar()
![](data:image/png;base64,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)
Continuous variable. price
diamonds %>% ggplot(mapping = aes(x = price, y = ..density..)) +
geom_freqpoly(mapping = aes(colour = cut), binwidth = 500)
![](data:image/png;base64,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)
Putting them together in one plot.
diamonds %>% ggplot(mapping = aes(x = cut, y = price)) +
geom_boxplot()
![](data:image/png;base64,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)
For a different data set. mpg
mpg %>% ggplot(mapping = aes(x = class, y = hwy)) +
geom_boxplot()
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArwAAAGwCAMAAAB8TkaXAAAC4lBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgKCgoLCwsMDAwNDQ0ODg4PDw8QEBASEhITExMUFBQVFRUWFhYXFxcYGBgZGRkbGxscHBwdHR0fHx8gICAhISEiIiIjIyMlJSUpKSkqKiorKystLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7///8JqnK2AAAACXBIWXMAAA7DAAAOwwHHb6hkAAAZ1ElEQVR4nO3de2BU5ZmA8bTd7Xbb7nbd7qXddre77W53dwpttWjp1tYbFxWqhnCJCIbiLSLeBYGVm0UEBAW5iKBtpRErrRdAo0i1oAiLiBbCTRBDIJCQkNtkvv/3zHwnyYuMc2a+OS/JIc/zhzFhvvd85/hzOJmEUGCIIlpBZ2+AyDXwUmQDL0U28FJkAy9FNvBSZMsVb61D9S3HXZZlUUOT0uDapgalwcdb6pUmd6PL7Ii3yqFac8RlWRY1xJUGV8UblAYfMbVKk2vNYaXJDS1Kg6viJ5yWgTdj4BWBVyPwisALXht4ReDVCLwi8AbV4FCzaXRZlkXxhNLghkRcaXCjaVaarHiZW5UGNyRaXFYdd8Rb7VCdOeayLIsa40qDq+ONSoOPmTqlyXXmqNJkvcvc2uCy6ogjXpcneW4bRNw2yLjn1Qi8IvBqBF4ReMFrA68IvBqBVwRe8NrAKwKvQtuXLnxDZzJ4Re8uXbRBZ3I3xvuHmNdjKqPB29Grycu8XGV0N8Y7PHlVYx+qzAZve0NSl/kjldndF+/5qau6WWU2eNvrnbrM76jM7r54h/LMK9PCOyh1mQ+qzO6+eF9OXtS5KqPB29Hq5GWerzK6G+Ot2jz7gdU6k8Er2jTrgZd0JndnvLzOK+N1XvDawCsCr0bgFYEXvDbwisCrEXhF4AWvDbwi8GoEXhF4wWsDrwi8GoFXBF7w2sArAq9G4BWBF7w28IrAqxF4ReAFrw28IvBqBF4ReMFrA68IvBqBVwRe8NrAKwKvRuAVgRe8NvCKwKsReEXgBa8NvCLwagReEXjBawOvCLwagVcEXvDawNvRoV07dX5GJHh1Am97FcNisf5KP10avBqBt72xyR+0d5nKaPCqBN72fpL6EafbVWaDVyPwttc3hXePymzwagTe9uYk7d6oMhq8KoG3vcp5A/pM2qsyGrwqgVfE67wagVcEXvDawCsCr0bgFYH35DaO9P7x9qjBc1vAG1LglSnirSweYUx94ftN458Bb0iBV6aHt3nsGg/vuvHGbBrrvdtaU1PTeNihWlPtsiyLGuJKgw/HG5QGV5tapcnHzRGlyY0tSoNdL3MWeOf9bo+H9+l5xuwv9t49GIvFZmd6oiY6LTX5bzPgfXVaIoX3YQ/vMO/9hjVr1uyodeiEOe6yLIuaW5UG17Y2Kw0+bk4oTW6I4mVucll1LBjvlCsKr+hbeHTdBGM239L2QZc7FO55RdzzyjRfbUg+89YP2p+YshK8IQVemTZes2n0yId4qSyswCvjixQagVcEXo3AKwIveG3gFYFXI/CKwAteG3hF4NUIvCLwgtcGXhF4NQKvCLzgtYFXBF6NwCsCL3ht4BWBVyPwisALXht4ReDVCLwi8ILXBl4ReDUCrwi84LWBVwRejcArAi94beAVgVcj8IrAC14beEXg1Qi8IvCC1wZeEXg1Aq8IvNHCW601GLwy8IbfvptjscLNKqPBKwNv+E1I/gVhA1VGg1cG3vC7OPVXM76rMhu8IvCGX/8U3h0qs8ErAm/4zUjaLVYZDV4ZeMPv4LTzf1T6J5XR4JWBVyNe5xWBF7w28IrAqxF4ReAFrw28IvBqBF4ReMFrA68IvBqBVwRe8NrAK9q+RWkweFUCr+jeK5UGg1cl8IrAqxF4ReAFrw28IvBqBF4ReMFrA68IvBqBVwTeSOF9ccTQhTqTwSsDb/gtSv5JilEqo8ErA2/4nZv6M2x7VWaDV3Sm4G12KO60KrgeKbzrVGYnWlXGepm40mCty9zcPPEqrclul7n+DHjmPS+Fd5/KbJ55RWfKM6/LobTwLk/avUllNHhl4FVo3XXXPqEzGbwy8GrE67wi8ILXBl4ReDUCrwi84LWBVwRejcArAi94beAVgVcj8IrAC14beEXg1Qi8IvCC1wZeEXg1Aq8IvOC1gVcEXo3AKwIveG3gFYFXI/CKwAteG3hF4NUIvCLwgtcGXhF4NbpP6a/NBu9JgVcj8IrAC14beEXg1Qi8IvCC1wZeEXg1Aq8IvOC1gVcEXo3AKwIveG3gFYFXI/CKwAte2449SoPBKwOvRgMmKw0Grwy8GoFXBF6NwCsCL3ht4BWBVyPwisALXht4ReDVCLwi8ILXBl4ReDUCrwi84LWBVwRejcArAi94beAVgVcj8IrAC14beEXg1Qi8IvCC19aN8L537TUBXfjDoEeMeMVtz+DVqBvhXR277rZ86/mQ257Bq1G3wrsrRwSn1qur4U38ckjhfbXGvD1q8NwW8IYUeGVqeLcOq2qYvNDUF77fNP4Z8IYUeGVqePdtNfEli8268cZsGuu9X19WVvbOcYcaTJ3LsiyaPFBp8PEBU5QG15kGpcmul/mVMPDOd9tza7PLqppgvMas7V9ywjw9z5j9xd57B2Ox2Oy8TzPUpg7UmjxgmtbkLteGMPAuCWEjWdfkv838CduROTPN0w97eId577TW1NQ0Hnao1lS7LMui+wYqDT48YLLS4GpTqzT5uDnitG5NGHjnuu053uC0LBjvmnJjKkaYdROM2XxL2wdd7lC45xVxzytTu+dd9/P61sXTTf2g/YkpK8EbUuCV6b1UtnDIkCnHvM/WRo98iJfKwgq8Mr5IoRF4wZsKvCLwysCrEXijhTcB3o7AGy28//a/WZyEy6HAKwKvLDS8k75VcPbcqrR76xy8eyfdE9CA3kGPGPdmuskbxwWt6z0w6BGT9jmdFHhlId7zvnPXN/7skl/WdxW8r8QGFuVbz1npJj/YM+/BA2KvOp0UeGWhfsJ2bMynC74w/FDXwFseez/vq9r7wXSTZ/4o78Hvx9z+8AB4ZeHhrVx40We/PHL1b3v9U/wTd+lyKPCKwCsLDe+5n/7H0eVJtscKPhmNy6HAKwKvLDS8N61vtf/S8gbPvIGBV9bpeMub0u7r5FwOBV4ReGWh4S344qXz9wbt0uVQ4BWBVxYa3t1Lh/9rwTfHrMm4S5dDgVcEXlmoL5VtK/x05u92cDkUeEXglYWG9+BT1/1HwVcGLci4S5dDgVcEXll497yfGfDojqDvznE5FHhF4JWFhvfKr/7FuXe9UJN2c+25HAq8IvDKwrvnTexZdu23PvNfGXfpcijwisArC/ETtsMrb/z2p76ZcZcuhwKvCLyy0PDe+O2CLw14dF/mXbocCrwi8MpCw9vznj+0pN2ZzOVQ4BWBVxbebUPj7lQZd+lyKPCKwCsLDe+vP1eQKuMuXQ4FXhF4ZaHh/frgioPJMu7S5VDgFYFXtG3Vi/td1vlHFXi/uC2LXbocCrwi8Ha0IhaLXbLNYaF/VIH3wrIsdumyR3e8Q0fl2/fT4/1+3oOHgjdfvB/Gkt3osPJjeF977bUVX5m82nvzWhfCm3890+PtGcJo8OaJ983UZbzIYeXH8H6mI/BmF3jzxLsrdRmHOaz8GN5sczhSHnjfrsm3T7rnzXvw2+DNF2/VPUm8zzksjARePmHLoejhrXz8lnFOP/3CPyp4HQOvrNNf580ql0OBVwReGXgzBd7AwJsp8IrAKwNvpsAbWCfifea+GW+5rPOPCl7HwCtzwzs1+VLZyw4L/aOGgPfN1QGVb1gb9JDt6bZYHivbkG+90uM9N+/BZWcQ3vzr6YJ3b2rpcIeV4eE9J4STH5luixu/E8LkhekmPxrC4O+k/bHVgYG3vY2ppRc5rAwPb895+/Pt+qvT7nH7OwHdeWnQI7ZVphtcuS1oXf+7gh6R9jeL4Loi3ov65psT3gMpvKMdVoaI94kcZ5za2PR4A+PvpBBF7573Mc/uBZscFvpHBW/6wJtTjq82vLnsqV0u6/yjgjd94M2pyL7OC95cAq8MvBqBN6fAm3vgFYE3qDSTwJtL4O3ovSvP7nWXy0L/qGHgfeDdfCspdjkF8J5U9PD+OPk6720OCx3xVp9ajxC+QnN1mrlZdN9At3XBDZisNPiYqVOaXGeOOq1bGwbeeQ4H3pT6T39O7guPOOI9cWph4B2eZm4WTR7oti64AVOUBjeYJqXJTabBad26MPAucDiw/br093JfWOuIN81zeI/i+/KtL7cN+Re524YDqT/D3d9hZXh4+YQtl8Db0UJPb6+tDgv9o4I3feDNKceXyipWrk77jVNB+UcFb/q6Fd4/5v1tgefwOm/OgVfkijeMH0wUW+C2Z/Bq1I3wHno56M+5XNcv6BGrP3DbM3g16kZ4g7v3SqXBVbVuFwO8GQOvSAvv5qJY7O4PHRaCN2PgFSnhPXR58m55usPKEPFemvdPaj7/jMG76JqgRo0MesQ9boeOHN6tqU/1LnNYGR7eqTcFNCQ2OughT7idftfDW3zhbfl21XfdDh05vNtSeAc4rAwPb2CrYjtdlmVRF8R7a44X9NSe6C54D12ZxDvLYSV4MwZekdYnbNtKYv8z9SOHheDNGHhFei+VNXf267yBgRe8n1Cnf5EiMPCC9xMCr0bgFYFXI/CKIoh31/qNnfwtkYGBF7xpe/6CWGzgDoeF4M2YK96hIXyRoqfboSOH9+BPk6/z3uqw8jTiXT9qj8uyLHp8gtLgqnuXua0bGsL3xnYXvG+lzvYSh5WnEa/rj/UPriGuNLgq3uC2DrzZtzN1tkUOK8GbMVe8xdfn/Udq5nWbe96bk3h/47AQvBlzxssnbNl3YM41o591WQjejIFX1J1f5wUveD8h8GoEXhF4NQKvCLzgtUUP775lc397yG3TQYFXI/C2V9E3Fovd7LbpoMCrURfEOyrvn7T9gBPeX6Re8V/ntuuAwKtR18N7bQhfYevlcuAbU0uXu+06ID28K15zWgbejLnirXg9oBdjC4Iess3lwPen8L7qtuuA9PD2m+a0DLwZc8Ub2I7Y71Tm7rzEs3ujzmds4NUIvB3tWTKzzOk7u4MDr0bgFUXxdV7wagReEXg1Aq8IvOC1gVcEXo3AKwIveG3gFYFXI/CKwAtemxregxv2Kk0GL3htanj5sf4y8GoEXhF4NQKvCLzgtYFXBF6NwCsCL3ht4BWBVyPwisArWzOicNxBY94eNXhuC3hDCrwyNbz7Lz/QuOgOU1/4ftP4Z8AbUuCVqeF9a64x+wabdeON2TTWe//obbfd9lyjQ82myWVZFsUTSoMbE3GlwU2mWWlys1Ea3DjxKq3J/X7hsqoui9sGY5qnP2Kenuc9CRd77xwuKir6VYtDceOyKptaE1qTE61ak01cafDq3keUJtcfVxrc0u8XLqtOZIE3sb5kSdw8/bCHdxi3DSGld9uwMrZbaXJDi9JgvduGxKzb93tv1k0wZvMt4A0p8MrU8G4obY7H46Z+0P7ElJXgDSnwytTwLu7jVeh9tjZ65EO8VBZW4JXxRQqNwCsCr0bgFYEXvDbwisCrEXhF4AWvDbwi8GoEXlHXw1t2cVDn9A56xGXvpRkM3oyBV+SK9/5es/NtXGx9msHgzRh4Rc54f5qjrlPbBt7cA68IvBqBVwRe8NrAKwKvRuAVgRe8NvCKwKsReEXgBa8NvCLwatSd8O5+J6AlsT8GPeRDt0ODV6NuhPfQeSH8xbCOf7E2eDXqRngrY5PW5FvRSLc9g1ejboX3qbwllII358ArAm9Ogdch8Iqc8Z73WL5NA2/ugVfkjPe7IXySCd6cA68IvBqBt2vj/WFZvs0Bb+5p4f1g7u33b3dZGEm8fMKWocjh/fAq7zfCC130VsYer8m368Cbc+Bt7/ep27j7HVZWhnD7GDvdeHvn/XWVxeDNPSW8S1KGbnVYGUW8C0LYco8taQaDN2NKeF9N/QdZ4LCyMnZxUb79cITbrp1/bsOuoPpMCnrEvnRzwZsxrU/YJnh2h7h8c1cUP2ELjh86opHaS2Wvl71U6bIOvCLwZozXeUXg1Qi84AXvKYFXBF6NwAte8J4SeEXg1Qi84AXvKXVBvKPz/nmh/cGbc+AVOf/R9+FBP4b5/J4XBT3kQbdDg1ej7oQ3sK73Q0eCA69G4BWBVyPwisALXht4ReDVCLwi8ILXBl4ReDUCrwi84LWBVwRejcArAm9QdQ41mnqXZVnU3Ko0uK61WWlwvWlUmvx874+UJreoXeZ+97usqnXEe8yhelPjsiyLmlqVBh9rbVIaXGPqlSYrXua40uBj/aa7rDrqiNflSZ7bBpHebUOtOaw0+Uy5bXA5FHhF4JWBVyPwisCrEXhF4AWvDbwi8GoEXhF4wWsDrwi8GoFXBF7w2sArAq9G4BVFEe/UMqdl4M0YeEV6eOMnnJaBN2PgFYFXI/CKwAteG3hF4NUIvCLwgtcGXhF4NQKvCLzgtYFXBF6NwCsCL3ht4BWBVyPwisALXht4ReDVCLwi8ILXBl4ReDUCrwi84LWBVwRejcArAi94beAVgVcj8HY07Xs9zn1BZ7QW3h1DftB7ostC8GYscnjnxLy+867KbC28P0nu+W6HheDNWOTw9k5CiN2iMlsJ71upLf/AYSV4MxY5vGenJAxTma2Ed1Vqy991WAnejEUO789SEp5Qma2E90CP5Jb7OqwEb8Yih/fAOR6EK1RGq93zzvP0nr3FYSF4MxY5vFVVT00uV5qs9lLZ+0/+9qDLOvBmLIJ4eZ0XvDbwisCrEXhF4AWvDbwi8GoEXhF4wWsDrwi8GoFXBF7w2sArAq9G4BWBF7w28IrAqxF4ReAFrw28IvBqBF4ReDXaMbteaXL5cqXBZvkrSoPrZ+9Umvz+7AalyS89qTTYLF2Xz+rTgXdt7LDS5KkDlQabAdOUBlfFXlKa/HysRmnypKuUBpt+M/JZDd70gVcEXo3AKwKvRif2typNPlqpNNh8dFRpcOv+E0qT69Uuc7XeZT6Wz+rTgZdIJfBSZDudeOOXReQwe0rD2Mdpbn1et48drZ2b64rT9N/11MLHu2ZE4biDaX9FnmSiOvQDpztMjm0sTL1px+u/n38dg0Ib+fF54M2//ZcfaFx0h4k/OKjoWWM2jb76wePGlA2+8o5qM6nPzf4HKu6deGuOc9eMGLQgYV4aMWTmCbPnzkW3jXt9WvFzpvyhaWPvrmw7gH1Q8jA51THu//qYxIohI5eX+vv33n9txIgRfXa1nUgegyvGPTnx539K/tud5cYseNzfs//h3PNP3ZtnT9vDu734wNa7U4zbrkt22ZP1l66dem/hnZWqF/zkA/qXw6HQ8b7l/Y+7b7B55ZaGvf0bqq/cHZ/zoKkcWNk0dUXy/1D/AxWXrsrxq0G7i6uqSzbuK/qgZdpSs6fPB4mbxiW2XWPK++8xK+9pO4B9UM5PBB3jKsaYTVdX1o0p9ffvve/1uzsS/r7zGVzRf7tZMT35b8/ebxLX7PL37H849/xT9+bZ014/Y3/x9jYQ/i9mmT3ZNrx932mZP171gp98QHs5ch2RTOOet3n6I+blkoqEMS9MNqZqpGmqNnUzHkvi9T9QUZzIcebyZca8V1H2iDEVo8yeEmNmPmeODzbl3vk39W/2D2AflDve9nGehHm/8a5oqb//FN4PBle27TufwRXe8s0Tkv9WWRjfc23C37P/4dzzT92bZ097/T0jFpt2vPYXsxxlT7YN713G1Pdv0bzgJx/QXo5cRyQLH29ifcmSuGn59aBrnks8OfiGG24Yk4gvv6F0TAqv/4GKXH+fMbOeT/5zkSer5orUPenMclPnXcvkjV7hEf8A9kG5420f50mYvM6YP5X6+0/ijZeuNW37zmdwctaWFF5z/fanlhl/z/6Hc88/dW+9Pe31feYXnWjHa38xy1H2ZNvwJn+DKazWvOAnH9BeDpdCx5uYdft+783hY/Etw3b8fp73PHzQlJceMWUpvP4H7G/HubT0l56pd8vmG7OrRF7LO5JPE3H/APZB+eF9pMyYN0r9/Sf3uXySZ9bfdz6DBd7ly8bsbrso7njtqXvr7Wmvn2wmLDdb7zRm1Yy2X8xylD1Zf2nqmfeyVs0LfvIB7eVwKXS8G0qb4/G4+dXdzfUlWz4aciC+cIZ5ekri0I3zTbxfq/+B3PFuv6a67qZX9xUdjN+/SF7LvltbH72v7QD2Qd5hcpt9krEtw6sabi/19++9v31I8otA/r5z7JPw7hg+KtG2Z3e89tSTW0ydtvcctvdnR3b87FhD6Yy2X8wye7L+0rV9t8YXTFe94Ccf0F4Ol0LHu7iPV6GpveeqwYsTZn1J0cQac2xs8e3lo3ckxo3yP5A7XrNq+GD7ye+M+vZrOc+U33t30d2H2w5gH5Q8TE51jPP2lXhq6MgXpvn7996fcUVJSckGf985dtLg5Dlvey71JlG83LTt2f9w7vmnnlyfOu3kb8BzHkrMLLx1zWNtv5hl9mT9pW8sv7Po3qOqF/zkA9rL4VLEv8JWPruzd9BpZTx1tevSpS44eKMaeKOOl7pz4KXIBl6KbOClyAZeimzgpcgG3tNVS8Gbnb2FMy3wnq7AG3rgPV2BN/TAq99HA8/6++sbk3i3/+Svv3DuFmOe/c/PfW1m+xtyDLzqxf/9gj8s/du7knj/+7w1L/XqYfb++dgNUwpe99909v6iG3jVW/X5amMeHuzhbZ2605hlZ5nVBbtNYsVO/01n7y+6gVe9KT1Tb5LPvE2vzh765bNMbY/PD3qsvu0NuQZe9SaenXrj4a373jfGPLPwLGMS60r+5azft70hx8Cr3oq/qjXmiR97eFf9ZYMxC84y5dONab2kv/+ms/cX3cCrXtM3+m58+ms3eHhfKVi+c8FXPrvlxU/N2rLyn8f7bzp7f9ENvPrt7fulf7jhhIc3Me7v/ubyHf0uTkz7+me/OqbJf9PZ24tu4KXIBl6KbOClyAZeimzgpcgGXops4KXIBl6KbOClyAZeimzgpcj2/3neKrPWmia/AAAAAElFTkSuQmCC)
Re-order.
mpg %>% ggplot(mapping = aes(x = reorder(class, hwy, FUN = median), y = hwy)) +
geom_boxplot()
![](data:image/png;base64,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)
Flip.
mpg %>% ggplot(mapping = aes(x = reorder(class, hwy, FUN = median), y = hwy)) +
geom_boxplot() +
coord_flip()
![](data:image/png;base64,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)
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