library(mdsr)
hd <- read_csv("http://datasets.flowingdata.com/hot-dog-contest-winners.csv")
Parsed with column specification:
cols(
Year = col_integer(),
Winner = col_character(),
`Dogs eaten` = col_double(),
Country = col_character(),
`New record` = col_integer()
)
names(hd) <- gsub(" ", "_", names(hd)) %>%
tolower()
glimpse(hd)
Observations: 31
Variables: 5
$ year <int> 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, ...
$ winner <chr> "Paul Siederman & Joe Baldini", "Thomas DeBerry", "Steven Abrams", "Luis Llamas", "Birgit Felden", "Oscar Rodriguez", "Mark Heller",...
$ dogs_eaten <dbl> 9.10, 11.00, 11.00, 19.50, 9.50, 11.75, 15.50, 12.00, 14.00, 13.00, 16.00, 21.50, 19.00, 17.00, 20.00, 19.50, 22.25, 24.50, 19.00, 2...
$ country <chr> "United States", "United States", "United States", "Mexico", "Germany", "United States", "United States", "United States", "United S...
$ new_record <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0
new_data <- data.frame(
year = c(1979, 1978, 1974, 1972, 1916),
winner = c(NA, "Walter Paul", NA, NA, "James Mullen"),
dogs_eaten = c(19.5, 17, 10, 14, 13),
country = rep(NA, 5),
new_record = c(1,1,0,0,0)
)
hd <- bind_rows(hd, new_data)
binding character and factor vector, coercing into character vector
glimpse(hd)
Observations: 36
Variables: 5
$ year <dbl> 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, ...
$ winner <chr> "Paul Siederman & Joe Baldini", "Thomas DeBerry", "Steven Abrams", "Luis Llamas", "Birgit Felden", "Oscar Rodriguez", "Mark Heller",...
$ dogs_eaten <dbl> 9.10, 11.00, 11.00, 19.50, 9.50, 11.75, 15.50, 12.00, 14.00, 13.00, 16.00, 21.50, 19.00, 17.00, 20.00, 19.50, 22.25, 24.50, 19.00, 2...
$ country <chr> "United States", "United States", "United States", "Mexico", "Germany", "United States", "United States", "United States", "United S...
$ new_record <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 0
xlabs <- c(1916, 1972, 1980, 1990, 2007)
ylabs <- seq(from = 0, to = 70, by = 10)
hd_plot <- hd %>% filter(year < 2008)
p <- ggplot(data = hd_plot, aes(x = year, y = dogs_eaten)) + geom_bar(stat = "identity")
p
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAArwAAAGwCAMAAAB8TkaXAAAC2VBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYoKCgpKSkrKyssLCwtLS0uLi4vLy8xMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2ttbW1vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////VqZXtAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAVEUlEQVR4nO3djZ8U9WHH8Y1Yrc8mPqSltlpNn5ImNI2tNYS0aqMQE6p7iEEtBGJTG2jURCmNJUFrNCBqBVET01gQNU2bIhHRxGBFrKa1F9CqORWEg7vbvX3e31/Q2b0HZ+Zmd2Z/35ndW/h8Xq/cMTv79bfe6/0i6yWcKUPUpaU6/QKIbAMvdW3gpa4NvNS1gZe6NvBS19Yq3kHb8tbLesMlbT+U0/a5grbPZrV9Qf36ZbR9cVjb54ek+VDJ8/WzxPuObQXrZb2M/cn1+oe1fa6k7QeHtH0xr+2z+7V9Navt83ul+T4z6L4Eb0uBV9uDVwi82h68QuDV9uAFr3XglebgVQKvtgevEHi1PXiFwKvtwQte68ArzcGrBF5tD14h8Gp78AqBV9uDF7zWgVeag1cJvNoevELg1fbgFQKvtgcveK0DrzQHrxJ4tX0LeNO1fI+BVwm82h68QuDV9uAVAq+2By94rQNv5KeC1x94tT14hcCr7cELXuvAG/mp4PUHXm0PXiHwanvwgtc68EZ+Knj9gVfbg1cIvNoevOC1DryRnwpef+DV9uAVAq+2By94rQNv5KeC1x94tT14hcCr7cELXuvAG/mp4PUHXm0PXiHwanvwgtc68EZ+Knj9gVfbg1cIvNoevOC1DryRnwpef+DV9l2Ht+/L6a/0G/P8ormrSuDV9uCN/NRY8Fbm/2fpzn802Z7ewtKN4NX24I381Fjw7rjemNKA2brUmO1LwKvtwRv5qbHg/ddl1196bZ/ZcIfzBuIK53rPrFmz7ivbVrVe1qsYcS+eX1Vff6Wz51fF8436+qM/tY636fm5cLwPze3Nf2+x2bDawTvPuR646aabNudsq1gv65WMts+XtH25qu2LRW1fKWv7UkHbV9WvX/Sn1vH6Hssb99dvKBzv498wpn92desy5x3EYt42aHveNkR+aixvG/rn9eYf/KrJzumrLn8YvNoevJGfGs+3yn6yML3Med72qxes5Ftl4JXif6QQAq+2B68QeLU9eMFrHXgjPxW8/sCr7cErBF5tD17wWgfeyE8Frz/wanvwCoFX24MXvNaBN/JTwesPvNoevELg1fbgBa914I38VPD6A6+2B68QeLU9eMFrHXgjPxW8/sCr7cErBF5tD17wWgfeyE8Frz/wanvwCoFX24MXvNaBN/JTwesPvNoevELg1fbgBa914I38VPD6A6+2B68QeLU9eMFrHXgjPxW8/sCr7cErBF5tD17wWgfe8OekR9iC1x94tX1CeNNuqeBtEHi1PXiFwKvtwQte68Ab+DB4owRebQ9eIfBqe/CC1zrwBj4M3iiBV9uDVwi82h684LUOvIEPgzdK4NX24BUCr7YHL3itA2/gw+CNEni1PXiFwKvtwQte68A7/ssAr54L8PoDr7Y/KPAesK1kvayXsz+53lBe2xfK2j47rO1LRW2fG9L21Zy2Lw6M/7KO0/1r34X7obEGTNZ1td8Sb8a2svWyXsH+5HrDRW1fqmj7fF7bl0vavjCs7asFbV/KZjIjOEc+jT6cDrhwPzRW1ri/foOWeK3/e4O3DVIHw9uGgLcFvOeNEni1PXiFwKvtwQte68ALXuvAq+2TxZt2Bd4JgVfbg1cIvNoevOC1DrzgtQ682h68QuDV9uAFr3XgBa914NX24BUCr7YHL3itAy94rQOvtgevEHi1PXjBax14wWsdeLU9eIXAq+3BC17rwAte68Cr7cErBF5tD17wWgde8FoHXm0PXiHwanvwgtc68ILXOvBqe/AKgVfbgxe81oHXh3eiV/A2CrzaHrxC4NX24AWvdeAFr3Xg1fbgFQKvtgcveK0DL3itA6+2B68QeLU9eMFrHXjBax14tT14hcCr7cELXuvAC17rwKvtwSsEXm0PXvBaB17wWgdebQ9eIfBqe/CC1zrwgtc68Gr7LsT77ALnw/OL5q4qgVfbg7fdeHdfMd+YbE9vYelG8Gp78CaMd3hnrVfGr4tLNjl4ty41ZvsS5zK7fv36l4ZsK1kv6+WNts8WtX2xou1zeW1fFr9+hay2rxa0fSkzNDSCc8j1MZ1udOGbZ0zOdTUwEe/3jkzVOmr8gTu+/5qDd8MdxvRd4Vy+PW3atNubvssgatIITuP6mE43umj6FyqMfnbhPeOG192/J5snv1Gt413t4J3nXFcGBgbye20rWC/rZYy235/T9rmSth/KaPuS/Ve+3vABbV/Navv8vr17R3DudX1Mpxtd+Ob9ZtB9ORHv6SXjafklPZfM6tm/dZkxOxaPPWj9pof3vFK853VfTsT7F69O+P259jtvdk5fdfnD4NX24E0W74+nr9z8lJMPr9l+9YKVfKsMvFJJ450y2oTff91Zv3rwSoHXfTkRb6SsXz14pcDrvgzA2//ILeZnRfAGBV5tnzTe3lOnpsys33oVvAGBV9snjfdTl5anmD0XXAzegMCr7ZPGe+xPjfMPa1tOBG9A4NX2SeOduqWG9/FfA29A4NX2SeOdP71/innx9xaBNyDwavuk8e6ffnjqxNRnMuANCLzaPvFvlVWfWbu+tyld8NoG3mTxXlD/2P9Z8AYEXm2fLN6bb07dXGvh+8AbEHi1fbJ4zzkndU6tc9eANyDwavuk3zZMa6oWvFLgbcf/MeeFC8EbEHi1fdJ4d3z0JKcjPg3egMCr7ZPGe+65D5y85u5f3QnegMCr7ZPGe8yPzOceMXfNBm9A4NX2SeM97nFz22Kz8yTwBgRebZ803j/7xK4tZ+buPwW8AYFX2yeN9+UPf71w9tGpG8EbEHi1ffLfKquYzGNbquANCLzanj/DJgRebT/Z8fJn2JoEXm3Pn2ETAq+2n+x4+TNsTQKvtufPsAmBV9tPdrz8GbYmgVfb82fYhMCr7Sc73nf/DNsD4PUHXm3fvh+096fg9QdebQ9eIfBqe/AKgVfbgxe81oEXvNaBV9uDVwi82h684LUOvOC1DrzaftLj/fEu8/2L/65gzJPg9QdebZ803ltSD2VPuuj0JY3lgtc68CaL97Tl1Xt/s7Lh18EbEHi1fdJ4f/lZ07PI7DgSvAGBV9snjff3//b/jnnKfPMM8AYEXm2fNN5Hfin1h9UVqRXgDQi82j7x7za8vmnIPPHDpnbBaxl4k8X7Ur3/fqcC3omBV9sn/oP2UrWmTDnq8/vB6w+82j5pvBtPXfvzXQ/8zvb/+pOrGuMt2la1XtYr259cr1TR9hX19Ze1fVV8/eWStjfi66+9/BGcRdfHdLrRRdPzsxPxfmh97eOj55j/mcrvvP74nVfbJ/077/HP1D4+e7x56yjw+gOvtk/8J+ZcNGhM5uLzqjf/AXj9gVfbJ433jbNOmP6JE39j1/ojm3y7zPrVg1cKvO7LiXhN8aGl138nb95+q7Fd8FoG3oTxVp5Y/a3NTb/LC17bwJss3t0fOeyMM6dM2w3egMCr7ZPGe+nZrxnz+tk94A0IvNo+abynbKl93HoqeAMCr7ZPGu/JI3j5twEFBV5tn/jbho+9bswv/igN3oDAq+0T/we2aVPOPGvKh/kHtqDAq+2T/1bZj1atfJxvlQUGXm2fKN5N420Db0Dg1faJ4j3G6T2p1HtSR6fBGxB4tX3if4bt9H/L5Ted9TB4AwKvtk8a74c21D4+9kHwBgRebZ803uPqP+Xp6RPAGxB4tX3SeD953oAxg39+HngDAq+2Txrvy6eeeP75731/L3gDAq+2T/z7vEN3fvFv/qn5v4YNvJaBt10/nxe8EwKvtgevEHi1PXiFwKvtwQte68ALXuvAq+01vAE4wRs98Gp78AqBV9uDF7zWHUJ4A/CBVwq82h68QuDV9uAFr3XgBa914NX24BUCr7YHL3itAy94rQOvtgevEHi1PXjBax14wWsdeLU9eIXAq+3BC17rDgW8jfGBVwq82h68QuDV9uAFr3XgBa914NX2NbzpIFauwNsg8Gp78ILXOvCC1zrwavuuw7tpfs+Nbxvz/KK5q0rg1fbgbS/evtlv5tdcZ7I9vYWlG8Gr7cHbXrzPrTLmjblm61Jjti8Br7Y/RPE2xpkwXqfiijvNhjuc34SvcC52z5gx466qbcZ6Gc9ePf5QP9/5zwiuxs8Zve9+lvuhtOf+xIe89wPOHy8fAW/16YX3ls2G1Q7eec5lZt26dc9lbCtbL+sVjLYfLmr7UkXb5wvavlzS9sVhbV91Xv8ILs/DnodGLxo9lPbcn/iQ9763rMm7rgbD8VZvu7bP+bR1mTE7FvO2QdsfpG8bPA8F/Ne++6G05/7Eh7z3vbX8tmHbNcVyuWyyc/qqy8f//VbWf/fglbLFOyZhAt4Aic1qjrchvo7hXTvTqcf5p7WrF6zkW2Xg7Sq8gUX+u/UHXinwui/B21Lgjfk9LXijB96gG+CNFnilwOu+BG9LgRe81oHXbgde8IIXvPaB124HXvCCF7z2gdduB17wghe89oG3xYFPQux4VZzgjR54g+9HDbxC4G1xAF7wjgVe8FoH3hYH4AXvWOAFr3XgbXEQK94EcII3euANvt/KXwy8loG3xYEF3saewSsF3hYH4AXvWOAFr3XgbXEAXvCOBV7wWgfeFgfgBe9Y4AWvdeBtcQBe8I41ifA2NuZOxRtwAV7LwDv+S/CCt7XAC17rwDv+S/CCt7XAe7DjbfZlBa9Up/AmhhO80QNv8P2GD4HXFXilwOu+BG9LgRe81oF3/JfgBW9rgRe81oF3/JdJ43V7Am898Eoli7chLvDWA68UeN2X4G0p8ILXOvCO/xK84G2tgwFvkBT3kwNwgbceeKXA674Eb0uBN2acYfe9gVcJvDHjDLvvLR68g80aOT34XqnpMrR885NDyxS0fbGi7Ydz2r787tev2Vd50P+ssefms96H0p6/iuch97MGAyaNHor3vrchM+y6OgDelpqseBt+xX0SwGt422BbUm8bGn7FR581dp+3DeC1Drwt3vcGXqWDFW/IQ+CtB14p8LovwdtS3Y23dUngdQdeKfC6L8HbUuCNGWfYfW/gVQJvzDjD7nsDrxJ4Y8YZdt8beJXAGzPOsPvewKsE3phxht33Bl4l8MaMM+y+N/AqgTdmnGH3vYFXCbwx4wy77w28SuCNGWfYfW/gVQJvzDjD7nsDrxJ4Y8YZdt8beJXAGzPOsPvewKsE3phxht33Bl4l8MaMM+y+N/AqgTdmnGH3vYFXCbwx4wy77w28SuCNGWfYfW/gVQJvzDjD7nsDrxJ4Y8YZdt8beJXAGzPOsPvewKsE3phxht33Bl4l8MaMM+y+N/AqgTdmnGH3vYFXCbwx4wy77w28SuCNGWfYfW/gVQJvzDjD7nsDrxJ4Y8YZdt8beJXAGzPOsPvewKsE3phxht33Bl4l8MaMM+y+N/AqgTdmnGH3vYFXCbwx4wy77w28SuCNGWfYfW/gVQJvzDjD7nsDrxJ4Y8YZdt8beJXAGzPOsPvewKsE3phxht33Bl4l8MaMM+y+N/AqgTdmnGH3vYFXCbwx4wy77w28SuCNGWfYfW/gVQJvzDjD7nuzxvv8ormrSuDV9uBt8b43W7zZnt7C0o3g1fbgbfG+N1u8W5cas32J84vMunXrnss0a+T04HvlpsvQCkbbDxe1fami7fMFbV8ujf/S81Vu+BUffZbrYzrd6KLxQ2H3W/lLtnbfW9bkXVeDkfFuuMOYviucX+yeMWPGXVXbjPUynr16/KF+/mTa56PjXe3gnRfpbUOzeNsg5XrbYFV2v7avZrV9fq80t37bsMyYHYvBq+3BK82t/4FtTl91+cPg1fbglebW3yrbfvWCldG+VdYs8EqB130ZHa8n6+PBKwVe9yV4Wwq82h68QuDV9uAVAq+2By94rQOvNAevEni1PXiFwKvtwSsEXm0PXvBaB15pDl4l8Gp78AqBV9uDVwi82h68HWzHqs6ev/nBzp7/L//e2fPv3tbR47O37wx4tFvwfudjnT3/a+nOnn/VdZ09/5N3dfT4fdM2BTwK3miBt6PHg1cJvB09vrvxDr3Z2fP7d3f2/D37Onv+WwMdPb7SNxzwaLfgJZoQeKlrAy91bZMab2l+xvn46JVzb82Z6ncv77lp0PeT09p4vrlm5syZd3bu/Idm1trfub//0U9tPH/T/J4b3373xJFX4z5/MuP9wZKZzsvdvvAXg7feb16c907uH+7x/eS0Np5v0gOFQrlz55cLhcK2b3bu/NFPbTy/b/ab+TXXjZ848mo8509mvC8+c7Hzch+4y5jeL5g3XjTle9e++5PT2n3+0GX1xzp2vlPuhlznzh/91Mbzn1tlzBtzx08ceTWe8yczXmM+67zcp/5yd2b1Jc7F4xcvHH73J6e1+/ydc/7qkhve7tz5Tmt+Yjp3/uin9p5fXHGn68Taq/GcP/nxVu+/7Mo1V9au9n3rVt9PTmvj+a99ezBz35LOnW/MW9dU/T85ro3nj35q5/nVpxfeW3adWMfrPn/y4y1kjdn2VbPpCWNeme/7yWltPD9fMKZ/drVj5xvz4A+M/yfHtfH80U9tPL9627V9xv13XHs1nvMnP96dl70z/OUnzdYvZCtrV/h+clobz9/8xQO5f17aufNN9fP7jf8nx7Xx/NFPbTx/2zXFcrnsOrH2ajznT368Zv1l8x+qmuo9l1++/IDvJ6e18/z7LpuzvL9z55veRfWHOnb+6Kf2nb+29r3BHteJ9VfjPn9y4yVqEnipawMvdW3gpa4NvNS1gZe6NvBS1wZe6trAS10beKlrA29Hy7/S6VfQzYG3Df31dOfD3/92df+C04676OfGvHz+Ccd+/AVjpjx60oWdfm3dHHjb0NOH7THmd79Wnf7xJ356yfv7zUemb9p87kcdvB+459VOv7ZuDrxtqPIr95iXUq8+c/g+Y0pTH6l8fZcxD5zk4F3R6VfW3YG3HV39KfOVPzZrU1OcUreYwpO3f+7kGt4fdvqFdXfgbUdPHDFw5iqz/r0jV5mzz/zSxntqeJ/q7Mvq9sDbjsonf+nwd8z/pl40Zs+snz12dM6Yu8ErB962tOCwi5yPn/ng5icv+EBxS+rbu+6eesQL4BUDb1v6j9R3nY+ZhVOPn/WKqd54yvtm7/z0heAVA29beuTYbKdfwkEYeNtQ6cC5V3X6NRyMgbcNPZM6bU+nX8PBGHjbULm3bX9Y/ZAKvNS1gZe6NvBS1wZe6trAS10beKlrAy91bf8P5knOmcyfV5UAAAAASUVORK5CYII=)
ticks_y <- data.frame(x = 1912, y = ylabs)
text <- bind_rows(
# Frank Dellarosa
data.frame(x = 1951.5, y = 37,
label = paste("Frank Dellarosa eats 21 and a half HDBs over 12\n",
"minutes, breaking the previous record of 19 and a half."), adj = 0),
# Joey Chestnut
data.frame(x = 1976.5, y = 69, label = paste("For the first time since 1999, an American\n",
"reclaims the title when Joey Chestnut\n",
"consumes 66 HDBs, a new world record."), adj = 0),
# Kobayashi
data.frame(x = 1960.5, y = 55, label = paste("Through 2001-2005, Takeru Kobayashi wins by no less\n",
"than 12 HDBs. In 2006, he only wins by 1.75. After win-\n",
"ning 6 years in a row and setting the world record 4 times,\n",
"Kobayashi places second in 2007."), adj = 0),
# Walter Paul
data.frame(x = 1938, y = 26, label = "Walter Paul sets a new world record with 17 HDBs.", adj = 0),
# James Mullen
data.frame(x = 1917, y = 10, label = "James Mullen wins the inaugural contest, scarfing 13 HDBs. Length of contest unavailable.", adj = 0),
data.frame(x = 1935, y = 72, label = "NEW WORLD RECORD"),
data.frame(x = 1914, y = 72, label = "Hot dogs and buns (HDBs)"),
data.frame(x = 1940, y = 2, label = "*Data between 1916 and 1972 were unavailable"),
data.frame(x = 1922, y = 2, label = "Source: FlowingData")
)
Unequal factor levels: coercing to characterbinding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vectorbinding character and factor vector, coercing into character vector
segments <- bind_rows(
data.frame(x = c(1984, 1991, 1991, NA), y = c(37, 37, 21, NA)),
data.frame(x = c(2001, 2007, 2007, NA), y = c(69, 69, 66, NA)),
data.frame(x = c(2001, 2007, 2007, NA), y = c(69, 69, 66, NA)),
data.frame(x = c(1995, 2006, 2006, NA), y = c(58, 58, 53.75, NA)),
data.frame(x = c(2005, 2005, NA), y = c(58, 49, NA)),
data.frame(x = c(2004, 2004, NA), y = c(58, 53.5, NA)),
data.frame(x = c(2003, 2003, NA), y = c(58, 44.5, NA)),
data.frame(x = c(2002, 2002, NA), y = c(58, 50.5, NA)),
data.frame(x = c(2001, 2001, NA), y = c(58, 50, NA)),
data.frame(x = c(1955, 1978, 1978), y = c(26, 26, 17)))
p + geom_bar(stat = "identity", aes(fill = factor(new_record))) +
geom_hline(yintercept = 0, color = "darkgray") +
scale_fill_manual(name = NULL, values = c("0" = "#006f3c", "1" = "#81c450")) +
scale_x_continuous(name = NULL, breaks = xlabs, minor_breaks = NULL,limits = c(1912, 2008), expand = c(0, 1)) +
scale_y_continuous(name = NULL, breaks = ylabs, labels = NULL,minor_breaks = NULL, expand = c(0.01, 1)) +
geom_text(data = ticks_y, aes(x = x, y = y + 2, label = y), size = 3) +
ggtitle("Winners from Nathan's hot dog eating contest") +
geom_text(data = text, aes(x = x, y = y, label = label),hjust = "left", size = 3) +
geom_path(data = segments, aes(x = x, y = y), col = "darkgray") + # Key
geom_rect(xmin = 1933, ymin = 70.75, xmax = 1934.3, ymax = 73.25, fill = "#81c450", color = "white") +
guides(fill = FALSE) + theme(panel.background = element_rect(fill = "white"),
panel.grid.major.y = element_line(color = "gray", linetype = "dotted"),
plot.title = element_text(size = rel(2)), axis.ticks.length = unit(0, "cm"))
![](data:image/png;base64,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)
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