-
Notifications
You must be signed in to change notification settings - Fork 1
/
02_visualization.html
366 lines (340 loc) · 512 KB
/
02_visualization.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8">
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="author" content="Gregor Pirs, Jure Demsar and Erik Strumbelj" />
<title>Visualizations in R</title>
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css">
a.sourceLine { display: inline-block; line-height: 1.25; }
a.sourceLine { pointer-events: none; color: inherit; text-decoration: inherit; }
a.sourceLine:empty { height: 1.2em; }
.sourceCode { overflow: visible; }
code.sourceCode { white-space: pre; position: relative; }
div.sourceCode { margin: 1em 0; }
pre.sourceCode { margin: 0; }
@media screen {
div.sourceCode { overflow: auto; }
}
@media print {
code.sourceCode { white-space: pre-wrap; }
a.sourceLine { text-indent: -1em; padding-left: 1em; }
}
pre.numberSource a.sourceLine
{ position: relative; left: -4em; }
pre.numberSource a.sourceLine::before
{ content: attr(title);
position: relative; left: -1em; text-align: right; vertical-align: baseline;
border: none; pointer-events: all; display: inline-block;
-webkit-touch-callout: none; -webkit-user-select: none;
-khtml-user-select: none; -moz-user-select: none;
-ms-user-select: none; user-select: none;
padding: 0 4px; width: 4em;
color: #aaaaaa;
}
pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; }
div.sourceCode
{ }
@media screen {
a.sourceLine::before { text-decoration: underline; }
}
code span.al { color: #ff0000; font-weight: bold; } /* Alert */
code span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
code span.at { color: #7d9029; } /* Attribute */
code span.bn { color: #40a070; } /* BaseN */
code span.bu { } /* BuiltIn */
code span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
code span.ch { color: #4070a0; } /* Char */
code span.cn { color: #880000; } /* Constant */
code span.co { color: #60a0b0; font-style: italic; } /* Comment */
code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
code span.do { color: #ba2121; font-style: italic; } /* Documentation */
code span.dt { color: #902000; } /* DataType */
code span.dv { color: #40a070; } /* DecVal */
code span.er { color: #ff0000; font-weight: bold; } /* Error */
code span.ex { } /* Extension */
code span.fl { color: #40a070; } /* Float */
code span.fu { color: #06287e; } /* Function */
code span.im { } /* Import */
code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
code span.kw { color: #007020; font-weight: bold; } /* Keyword */
code span.op { color: #666666; } /* Operator */
code span.ot { color: #007020; } /* Other */
code span.pp { color: #bc7a00; } /* Preprocessor */
code span.sc { color: #4070a0; } /* SpecialChar */
code span.ss { color: #bb6688; } /* SpecialString */
code span.st { color: #4070a0; } /* String */
code span.va { color: #19177c; } /* Variable */
code span.vs { color: #4070a0; } /* VerbatimString */
code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
</style>
<style type="text/css">@font-face{font-family:'Open Sans';font-style:normal;font-weight:400;src:local('Open Sans'),local(OpenSans),url(data:application/font-woff;base64,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) format("woff")}@font-face{font-family:'Open Sans';font-style:normal;font-weight:700;src:local('Open Sans Bold'),local(OpenSans-Bold),url(data:application/font-woff;base64,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) format("woff")}html{font-family:sans-serif;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:1px dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{margin:.67em 0;font-size:2em}mark{color:#000;background:#ff0}small{font-size:80%}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{height:0;-moz-box-sizing:content-box;box-sizing:content-box}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}table{border-spacing:0;border-collapse:collapse;width:100%;margin:20px auto}th,td{border-bottom:1px solid #bbb;text-align:left;padding:10px}th{background-color:#63a0e1;color:#fff}tr:nth-child(odd){background-color:#eee}tr:nth-child(even){background-color:#fff}body{font-family:'Open Sans','Helvetica Neue',Helvetica,Arial,sans-serif;font-size:16px;font-weight:400;line-height:1.5;color:#666;background:#fafafa url(data:image/jpeg;base64,/9j/4QAYRXhpZgAASUkqAAgAAAAAAAAAAAAAAP/sABFEdWNreQABAAQAAABQAAD/4QNYaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI/PiA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJBZG9iZSBYTVAgQ29yZSA1LjMtYzAxMSA2Ni4xNDU2NjEsIDIwMTIvMDIvMDYtMTQ6NTY6MjcgICAgICAgICI+IDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+IDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLyIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0UmVmPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VSZWYjIiB4bXA6Q3JlYXRvclRvb2w9IkFkb2JlIFBob3Rvc2hvcCBDUzYgKDEzLjAgMjAxMjAzMDUubS40MTUgMjAxMi8wMy8wNToyMTowMDowMCkgIChNYWNpbnRvc2gpIiB4bXBNTTpJbnN0YW5jZUlEPSJ4bXAuaWlkOkZBRERGMjMyNzVDRjExRTFCREEzRUU0NTcyQzU1NEZDIiB4bXBNTTpEb2N1bWVudElEPSJ4bXAuZGlkOkZBRERGMjMzNzVDRjExRTFCREEzRUU0NTcyQzU1NEZDIj4gPHhtcE1NOkRlcml2ZWRGcm9tIHN0UmVmOmluc3RhbmNlSUQ9InhtcC5paWQ6RkFEREYyMzA3NUNGMTFFMUJEQTNFRTQ1NzJDNTU0RkMiIHN0UmVmOmRvY3VtZW50SUQ9InhtcC5kaWQ6RkFEREYyMzE3NUNGMTFFMUJEQTNFRTQ1NzJDNTU0RkMiLz4gPC9yZGY6RGVzY3JpcHRpb24+IDwvcmRmOlJERj4gPC94OnhtcG1ldGE+IDw/eHBhY2tldCBlbmQ9InIiPz7/7gAOQWRvYmUAZMAAAAAB/9sAhAACAgICAgICAgICAwICAgMEAwICAwQFBAQEBAQFBgUFBQUFBQYGBwcIBwcGCQkKCgkJDAwMDAwMDAwMDAwMDAwMAQMDAwUEBQkGBgkNCwkLDQ8ODg4ODw8MDAwMDA8PDAwMDAwMDwwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAz/wAARCACvAK8DAREAAhEBAxEB/8QAZAABAQEBAAAAAAAAAAAAAAAAAQACCQEBAAAAAAAAAAAAAAAAAAAAABAAAgICAgEDAwQDAQEAAAAAAREAITFBUWFxgZEC8LHBodHhEvEiMkJiEQEAAAAAAAAAAAAAAAAAAAAA/9oADAMBAAIRAxEAPwDvWECSrMCMCzfEAFWYCORTgF0xj7wKi8PagWcesCKxfx+0CvY/rdwGuGTuBnIa9vvAT+moCgvO4FRGfWAbxigYDt65gWk8wJIq4Ev2cCeT6QLMAdrp+fECdCBdfr1Agiz7wHswB+lUIEMq6G4Dzz3ADrAf/qA8BwM/8rxvmBpLqBZ/P0IFvxACDr1gTenAglwsuA9VjDUAQCUB4vJ3AeXAy7AxfmA0VZ5gFXfp/iA874gWdotrqBCnjkwB0AAsgQLRFlWtwLdF3zAkR5KEBN6BgBIzlcXAL1Ty4GubMAd77fvAcjnv9oGGqXgiBo2k6N394EW+QcdQNAwM28agJpnUCV+RzAyiKbBHrAQdezgVP+3X6QEGm4BjyT2YEUgH/XJcBpjPiAF8kjqA0d+xgRx9OBZDzxAOljLgPo4EGdLqAFMnj/oQJG/t3AjWCEIDXjqBPuhmBUq8OBEfrzAna3x5gR+11ANgZgWv9a4gBwTkUvSBMfJcE2DxAVyWoCrJDPUC9PA8QBdk2nuAYumYGuhniADyT/8AUCIBV4NKBEMIQHWD9GACus1AiChpEpeIEtDXcCw36QKxTHRgR5GdA1AfRiBXzXUCyE7MAV7TLEDVcQMgh+TVwIcEveoDZ36wA9msqBPCDavzA0XUDJJCQe4Cdb6EC5O9j8QDgDHOhAGq8bgLtbFnxAhW7cBV/mAK4DnvqA6gZ1wOIEx6KoDdhJc3AF3XfMBxwgIELC1xAgDsn+OIFYwF3Anh+kAPhdwEHpQA2SDjmBAeVxAVriAeivMC+W/rqBYtZgQrSPPMDXj3gHMAINcjIGYCbA1AcnxAM+YF6ekAADJ2clKBE4GoA2XSy4GiRl1AgrRswLYyXzAkSqswAg8qBAjeBkuA5SNcj7wDzauBfmAkujTxAhz6qBeK7gJeoBXFcwDtwKh4IcBQa1Aua4cC4HGoBkYpQCj6/vAd4HmAAL5Er/o5gPIHuIEFQ3tagX21zAEcodjuA2fkaAr1gKsX5v8AMAL0nxAgN5JzAXQt+IE+MQIUXzAqxhYuBPv01AgQ+HACUtk6gSQR+VnBgO0TcAJFElDbgVn01APkNfHJP6QGxe/eBbAx34gJT44gBaNl58wHvJgWqfUCgR2vpQBHIp5MC+voQG868wLv+IANCloQH64gWPMAWBdbgaMDOMfEM/8AUBOIGf8A0KQ45gaHl8QME/FDQIYPrA1yyyMvEBNA+zgBo1fmBcey1AfJVXAFtM/QgNh2ydDMA096ECVtWLEC5ECXvowLN++vWAo/iBZwbgWPyYEDt1ACBnOxArFuA7QOnmBYoQLBSQyIAtkP5CBY1/kwHv8ASBP6MACyUXAUDYHjiBdb2IFtcQC2gaMB/BuAAC68QHIK4owIChrnmBEaODi/tAlbgTAxfEAvrr4mBd86gVMbtmAEepHetQFL3qAoNgXzAvTGoFs/VQKlmoGTln4tYPpAvkheeIChSXJgABLtELHUDVED81AFh15/WBXTDgKs8uxAAQbD+0BD16gwCvbH2gJ+twD4oFPJqAAGy6IydQIAjJf9cAVA0lWn+YAzotFLxUC8i+PECoC6QgV5ACgOR5gSQHXEA+JFotfpAiz1yIFz/ZrbgOOvtALeXAWv2gT6/wAwDN6q4CFfJ1zACL8QI1dDDcCZ/wDSxAsa9oEtkVqBP1+XWIFpX4/mBFFd/gwF00cO/tAAB5GR4gJKulzAn7wIn+osC69YF6KBdnHECzACFa/j6UBMA60MGAeWT8bgaskaHMC8mgYAstcmBL4nQ1XiBBBoAcwKj09wJKtGhAiKANMagWBt494DiBMYz+IEnk5gK9IByFQ3AvS9wAmwdflwFg7zwYEEOh+IGSWTRSHqeoGr4KgAIIrTqBqBkEG4FnANQLCHmBZrZ8QIjNOBBYGBAhku7xAbY4+nAr/jcCHUC7PpAPt9YgLPAfECy78CAFtAonmAscmoBZAPKf0YGqO/aAHT1iA+YFqAVsrUCORa5gFApILPcBPlCAUn+sCqysccwJnjJSgTJ+5MCskd2YFagN6QcCu7N4gC7RqoFQROBgcQIC/MCvftuBbIC8iBNjiBNaJ7gTsUTAQMWzuAJUPixhQLV1wDAiU1ZOYF5oYqBXeuYFxmsCBqBknUCIQfBgPk5gZ/19cLcBYOECRR6gP0oF+8ANfH/a0s8wGgO+4Cq/KgZNI4tOAWz8fkXv3ga46/MAOOuv4gAPxZLZ+lASEDgM5gKaJo7ECWf1gCJI4gWFotOAN3hYgbgHoQMQJ61swIlVvAgCHqIAEK0WQaNQFs7Dw4DkuBkH4nCKoH7wNLCx3AD8WfiQf+TncB6PqBAEGSgPlv5QE/zABw/WA8uAdp6AgOaJvUAJQJF7eYESeYEEKpDEAoB4dwEY4JgLxu9QEYFtwA0ATXMCzxXcCAQAKJ5gAfLujAbNfTgQuBE856gW7L2IFgZviBFrk11AAmSDQ/zArIy3mAnP2MCgWxXkwLY5GIAP8AbBumBr1gXsBqACvBP1qAjN8QJ++xAT/AL9IEqo/mAKlr8QNfRgHjMB5gZoE7NOAmyExAvHdwCrzRgS+XvgcQEPvkOAXpQNPPUAGPv5gT6znz3AB/Y3+kBdAr0MCDtaMAsk2RUB5eIFfFu4GQ1YvfmBUFeq3UDTMD/9k=) 0 0 repeat}p{margin-top:0}a{color:#2879d0}a:hover{color:#2268b2}header{padding-top:40px;padding-bottom:20px;background:#2e7bcf url(data:image/jpeg;base64,/9j/4QAYRXhpZgAASUkqAAgAAAAAAAAAAAAAAP/sABFEdWNreQABAAQAAABGAAD/4QNYaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI/PiA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJBZG9iZSBYTVAgQ29yZSA1LjMtYzAxMSA2Ni4xNDU2NjEsIDIwMTIvMDIvMDYtMTQ6NTY6MjcgICAgICAgICI+IDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+IDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLyIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0UmVmPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VSZWYjIiB4bXA6Q3JlYXRvclRvb2w9IkFkb2JlIFBob3Rvc2hvcCBDUzYgKDEzLjAgMjAxMjAzMDUubS40MTUgMjAxMi8wMy8wNToyMTowMDowMCkgIChNYWNpbnRvc2gpIiB4bXBNTTpJbnN0YW5jZUlEPSJ4bXAuaWlkOkVBMjI2RDk5Nzc1NjExRTFCREEzRUU0NTcyQzU1NEZDIiB4bXBNTTpEb2N1bWVudElEPSJ4bXAuZGlkOkVBMjI2RDlBNzc1NjExRTFCREEzRUU0NTcyQzU1NEZDIj4gPHhtcE1NOkRlcml2ZWRGcm9tIHN0UmVmOmluc3RhbmNlSUQ9InhtcC5paWQ6RkFEREYyMzQ3NUNGMTFFMUJEQTNFRTQ1NzJDNTU0RkMiIHN0UmVmOmRvY3VtZW50SUQ9InhtcC5kaWQ6RUEyMjZEOTg3NzU2MTFFMUJEQTNFRTQ1NzJDNTU0RkMiLz4gPC9yZGY6RGVzY3JpcHRpb24+IDwvcmRmOlJERj4gPC94OnhtcG1ldGE+IDw/eHBhY2tldCBlbmQ9InIiPz7/7gAOQWRvYmUAZMAAAAAB/9sAhAAEAwMDAwMEAwMEBgQDBAYHBQQEBQcIBgYHBgYICggJCQkJCAoKDAwMDAwKDAwNDQwMEREREREUFBQUFBQUFBQUAQQFBQgHCA8KCg8UDg4OFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCAMgAFADAREAAhEBAxEB/8QAewABAQEBAQEAAAAAAAAAAAAAAQIAAwQFAQEBAQEBAAAAAAAAAAAAAAABAAIDBxAAAQMDBAIBAgUFAQEAAwAAAREhAgAxEkFRYQNxIjLRBIHhUmITkaGxwSNCM/GSwhEBAQADAQEBAAMAAAAAAAAAAAERMUEhAmFRgRL/2gAMAwEAAhEDEQA/APhT7u/tMuzs75T7CQs5SkZWRyXr2qSTzDyi23dAnMl56MFO1OBQZzMQszc6mnETGc1n7n+7PRMHKhOYx/6nkKd6MRAzkkh/If6mpHKeT9n/AJXXalZTnPD/AOl11PFWPwWkzkJSTs31O4pwXb7P7v7n7X7jq7ujuMZAhRlJJDJUKEKCj1j7+J9Syxr5+rLK84BQgwujPW2VEFfjaN32tRBhJJQempsDUiQVkcFO7uP61RMAVgDFANlYrTSmIIB9P8800YVr8NOTpWSkiWIAgpWz8UpREll67u+9CMAc+v015Z6rpYR6JcgLt55poIQyUK42481IIABFdTp45oyikCZOf/waV1gix9iTo3NSAxxIU6aeeaVhSAFjYf681lXCPURuynQLpzSlEjKfsh1bkc0cJh/9OtT+Cc+aroAgmJtcBfXmrKL5BRGz22qISRiLX/bxakFJEzDcW3o8LDJY28sWWpB0NlXgjWpMFyFkTjalMshFWvxxUIQSs2Gp03oNMAcutUuFtvpVUj1xLG4ZfPFKZlsfjvxUGyigZHLLwOKkTj7rEn8efFSZlgoQ/hueKlNhY4ljcM30qUJxyRDkm/Higj1ERcqSL/lUMk4kzQFdX58VExxz62RwQ6a+Kv5ECs03W781dRWS/Jk5vjSqCTiCZoHsvFURJKy9tNPPig5AJWHt+Du9SYGSH3umppwipVDLTm+NCCkxHtqd6dAkkmYJt538VQmJ94e+oS7vRVEAHE+jqNCmtKOJJ+CERu+1Sb2xHo6lnSocYqsvW9i+9SIBJgcE/qz1QgAgH1RwjHmoKQmXw0a+1CQigejvvxzTCognL1/sXepUwUT6/RFIUod6qohIoSpRQ6eeamSyov8A524opCxEYkkop04p6ioyk55Zr0Kt6kwKngJzUoPTEubh0F35pRQEsdNANvNS8BxwF0Uqyf7qgJwBm5H4DeomIH8nWi6MnPJqXQ6GwVEtzV4isl0tx+moj2xAYuV+OwqRlkMrDa2+tEqwwyBhYjdlvUA6GyKNqkSCJ3ZONqoR7IFAX8DtSChWSprtvQqYLnC1xoN6roxBQCxVQyroeKQzEhnSy7jxUdVpYABtSj/2o9RKLNiur8jimIBFhddP6+KsiVhgI2Nw6+eKvUVipYvHdrVYSfXENqdRxxT6sqkADJQfxIsDWfUvpge7u6erqCz7JRjEKB7Skg03otxLk/M9kaff3dpl2dvfLs7JEZTlKRJQI5NX+ZPJDmtnLIDPSynanATlLF+3Uup4qx+LJzms/wDow5LPViBs5rGJ7NtS71YaAnPEn+Q33NWPweseyap/IbPfarCYzmR/9FP41YTGUll/0IA0dnqWa7/Z/d/c/afcdXf09xEomJMQZASGS4yARQdRWfv5n1MWNfP1ZcyvOhATC5DPzW2KU9h66XfagpQ4hIhVLPxSFFTmkX/F3oTAFYetgmpR6v7MAVD6uqC/NIx4SCqYqEYvtQoHxAENU1qWCQfYgeLu9JMAcoHB1C33oSAI4m9xpweaQf8A0x/87ft81cI9cQ5Yk2qGTLH3Kv45qkwW9VgR+Dc+agBjiXKEghtf61IkDJiUTbRKl4k4p8iqkWHHNSURH2c/h5G5qUaCGfWCtxfyaKYfbEkpcM1qmWQ5L6huNqmg+I+JQ8cVInIGdv7b/SpMMlhZWVU3pSQqaK23NSUklJa3F0oQKoLFDxSCpWaon4XWpGOWcCoVRst6DEAxxKA3Cvx4pwyVGTscd+PFRBMTEMbll8UAkhZ3/rz4qPjMsGfy1zxTgyxmxJxZQf8ANQYItigCKvFSyPXAMXUIoqiJIWbHyvPipGOOXWg1CPyeKr7EFkYn3fd9akSSvy0LPtehAqi56l32FJJJWXsn9WegMslgkz/ffxSR7YoZ2IOvPFVUZ1+VhztUmMjiEn7ONeKsIkn39v8ALPQiCTLr99Rv+qqxJGSH1dQzjepYKFUxQJztUgAcQMNSLH600MhWZxVfLuKNmlD6nDjVnqQQ4kYahkPPNOQUJPx02O1CCEgejrZ+KUSCskit0vvQVQXKAME8Kz1JzAjiXP4jyd6R4fXL8P8AVCBxQOSHdOBzSiyzuvjnzUayBYOV4HPmgD0xLlFGnB5pJ9RL5FU/1UgRExCk3KM+nNQJAykST/TmpHrxM+ty6MnPmikDLFGuALJrSj7KyW4ulA6PYRbFVsceK0mKrIN/beskhVgG5Lb1IexBsybc1JvZdA122pDe2IsxOyVLDFVmWF0tuy1FUBLPrVLhbb0LKFjiWIQjXzxUPCoBsbXXjxRUFGIYopsX0pRkYrM6OL81JkivWgPD8nipQLHFXuNePFLR9V1THcbeKGalY4hrk/1binNUUShmoO9+RxQfF9EJdvf0dXXEy7OyUYwCgKTJAFPNH1cS2mTNkHZ3fcdpl2dvdLs7CQs5SkSQiXL0SSeYVoM5r/8AQol1O1awBnIgEdhcnWT1L1sp5SAmUCoHZ6PCwnIGB/kJO6l3NOBlhKaEHsLJqajmsZSV+w2UubpUutlIBP5Dcq5qxBkmcgZH+S3JZ6MF2+0+7+4+07+rv6e2QkCFAlNJASXEoig6is/fzPqYrXzbL484BxQwsea0ywUFoaXfahYCFPiLnf61rK0ogrP0b8XU0IAAmHp5KFnpQC4pgjhn55qSkkSmDY7HagA/EDDUsh0Sk1iqy9GLq+4oRgufWMWUKXZ6qY5oMShLkKU880sscQbm1k/bRGgscUUopdPHNLMUUJmVP9ORQWAAlBCUNm5p2PEsIG4cafnVhK9SS7EbW9fNCSRERDm5VhxzSeKOKzUlPHIoDRTPqxJVr+fNRmwFQtEqR+mpZIUlkRLstqsIEyQfF1X48UIlVlZNLb1JhksLL+DPpSgMjEsGK6c1ZRfIlrcbURJWSAtfePFKUVWaJ+Kb0Ix+UPjptutVUc1ilira8Gr1H1U+pXF//wBfFVpSscAgNzc/lT1KOPuUP9eRxRERisWL/wCFPFQSsREsTZX88UorEHWyX48ULA/54htTr44pHGJis1HlDyOKGlQxy61B0R/3HimrqBI4n31G/wBKERIq02Sz7UFjIiI9nU6l7f4pwNqMpLP23GrPUgJFY+/m+9GFIM5J89Q7804SspL8haz7Vnw4QZHFDPU78VoYUZFZe++7PQsGEpZ9ayuQzu9Vwol8SvXchn+tRYtL4aMUO1qAHQLDUqCrW5pXCVJn6X8uFqycEXh6My3Z6EkKYfBAoZ6UXyeP/lNdqkEliBhuiLxUiQVmcF/rvQjAHLrOLKDqzmirrkMcT7bacHmtXaJxyVXIt5HmrKHrjFyxOnjmnPqUcQZueW581lRgYiUHP9OfNIwmOOBchxoOeakfVXJHrqOKEwTAKTrpwOaSxMQZueW580RUxTPrQm40581cU2FlibXH6TvV1QrISRkThmoQdAVipJ/T5qyiShmicW3qwsNFSYWXW25tVVgDJCqXCWpTeyoEAS7bVeJvfEIiqduKsxE5LOw2LWWhGK5wCi420NJjmDAwKA3DL54qBGIlqpFwePFBAIEIsQpOvA4pVJxJmxUakvccUJokGUGdjfmoAYkE4lFDKv8AqnCY45IWOLu1qjG9cQxR9X04qBOOU1Ba5/ELpUV9HWe37jo6oRJ7OyUYwCj5SkgvzWfrVtantjdnf3dxl2dvfLsnIhZylKRLIFN6pMeSD/VuxnPJf5DZw98agkzkg/6FVuppws0mc1n/ANCE5LOKMHLZSWIMzeyl3qwsj+SaH/o+6nY1WRH+SQJTs0cEnarETfyTEB/0Lkup2qwmM5LM/wAhTZSz+KQ7/Z/efcfZ/c9Xd09xEgYqMpASAkuMkRQUesfXzPqYw18/Vl28oXF4ah35rYwUKtFUjdDdKLUCCIhIb71InIymMVVXfepMPlFYu2+/mmph8fgzb81dTe2S46JrtapBCgGGpZ2tVkEiSy9FP4u4oODASy6/TUCx3opm0JEgqSXCtsvNOGSAMlUrjtx5pIOOIClCToOKESI5TWTuLc+aeBgIrByujDfzR6QBERKrcOl70o+uVz8Wb9tHEPTEexRTp+dVVJRZ3Ul258vUjERz61JVRpz5oXQ6OBcJatA+yiwCcbVESySPxv8Atom0o5ZTYapbfWrzAD5Qtovx3v8AjUQ+JRLj9NRZ1FkTjaqBvbG0bn9PDVKl1k44tvzUqYZZQsijZb0VTaFjiUW+978VocIxVg6bhwnihCRikWNzr+VU2eKOOU2OqvzTwAGOXWxuz6r4oLNiVDKNR9KkGUMVx/tjVEFhhrc6+OKVVMsmTd7v4oFMMc+tiqh154opmwssT7a8tWhCrvNWcPteoiRkkffU/qo6lEyyn77pdnq4Apyh7bbu9RCnE+6FQ7/SospUe2ln2vVAyyx+ep3e1VVKvJJ/5Z+KqqYE5Q99Qz70HqUb4I7X5rTM0pJKPXS77WegpkCkf+etkP1qm0qQ9p+m+7vVwBDlD0Tl2eosksT6q4Z6iEKj10u+1qoAhw+GpUPZqTVIVl6+Lu9ApiDl1+mod9+azVNoZC6u7eea2Jo+q6qm3HmpCQjjFzc6D60TaUccp+x105p9wgMcoOVbTnzQQkcTe40/OpMyhz8bJ+2qaTeuA9jco2rPelU+qyvy3PJoopjjn1uVUMnNFM3A6OBcJatA+yiwCcbVESySPxv+2ibSjllNhqlt9avMAPlC2i/He/41EPiUS4/TUWdRZE42qgb2xtG5/Tw1SpdZOOLb81KmGWULIo2W9FU2hsSiorve/FbCvVbOm4slCEkxiUKKdfyokRIjlNjy/NPuEAAZQQHcP+7xQmYxLEuNfypwcxmEkIcR30xqiCDEMbnXxxUslgZsQl358UCunR1nt7+jq64k9vZKMYBQFMpINqLq2tT2xuz7j7jtMuzt7pdkyRlOUpSkwRyXpkk1Bm3o/knkv8hs4BO16sJMpzAH/UqTf2+lU2lGXYsv+h11LPVjxZGc1h7qDyXepN/JNCf5Cqh1OtGImHZMH5sQ4U7U4Tfydgh/9HUgFTxUmzkTL3PhSgenIrv9n959x9p9x09/R2mMomKxWSSAkDjJEUFHrn9/M+pjDfz9WV5kb4I7X5roxNKSSj10u+1noKZApH/nrZD9aptKkPafpvu71cAQ5Q9E5dnqLJLE+quGeohCo9dLvtaqAIcPhqVD2ak1SFZevi7vQKYg5dfpqHffms1TaGQuru3nmtiaPquqptx5qQkI4xc3Og+tE2lHHKfsddOafcIDHKDlW0580EJHE3uNPzqTMoc/Gyftqmk3rgPY3KNqz3pVPqsr8tzyaKKY459blVDJzRTNwOjgXCWrQPsosAnG1REskj8b/tom0o5ZTYapbfWrzAD5Qtovx3v+NRD4lEuP01FnUWRONqoG9sbRuf08NUqXWTji2/NSphllCyKNlvRVNoWOJRb73vxWhwjFWDpuHCeKEJGKRY3Ov5VTZ4o45TY6q/NPAAY5dbG7Pqvigs2JUMo1H0qQZQxXH+2NUQWGGtzr44pVUyyZN3u/igUwxz62KqHXniimbSyF1d2881oTR9V1VNuPNSEhHGLm50H1om0o45T9jrpzT7hAY5Qcq2nPmghI4m9xp+dSZlDn42T9tU0m9cB7G5RtWe9Kp9VlflueTRRTHHPrcqoZOaKZuB0cC4S1aB9lFgE42qIlkkfjf9tE2lHLKbDVLb61eYAfKFtF+O9/xqIfEolx+mos6iyJxtVA3tjaNz+nhqlS6yccW35qVMMsoWRRst6KptCxxKLfe9+K0OEYqwdNw4TxQhIxSLG51/KqbPFHHKbHVX5p4ADHLrY3Z9V8UFmxKhlGo+lSDKGK4/2xqiCww1udfHFKqmWTJu938UCmGOfWxVQ688UUzYWWJ9teWrQhV3mrOH2vURIySPvqf1UdSiZZT990uz1cAU5Q9tt3eohTifdCod/pUWUqPbSz7XqgZZY/PU7vaqqlXkk/8s/FVVMCcoe+oZ96D1AQxJEbEb881vDM0pXsLc7VlA/GJxCKd/rVCSmU/Ua/5px4AHlBIjdfx80LLXiWBcb/AFpwstaSEBRH/wDmrBH/AI+OpZ+OalaSUMlAbzvQK6dMJdvf0dMICXZ2SjGAXWUkFzrRfJbWp7Zhuzv+57TLs7ezsn2SI9pylKRACOSVpkk0M2jLuyVZInKKlXi9TKXegeak81Ta9UZdqyeeqOd6vMLNGXasFMkN1XepZbPuQlZKoS680Yi9Ydnat5IQ7khUpxKm/k7sLyuVuqNViJsu0mTyQ2DnWnIrv9n93939n9x09/TOUTExJCyEZASBxkhCgpXP7ksxW/n6svjyshdXdvPNdGJo+q6qm3HmpCQjjFzc6D60TaUccp+x105p9wgMcoOVbTnzQQkcTe40/OpMyhz8bJ+2qaTeuA9jco2rPelU+qyvy3PJoopjjn1uVUMnNFM3A6OBcJatA+yiwCcbVESySPxv+2ibSjllNhqlt9avMAPlC2i/He/41EPiUS4/TUWdRZE42qgb2xtG5/Tw1SpdZOOLb81KmGWULIo2W9FU2hY4lFvve/FaHCMVYOm4cJ4oQkYpFjc6/lVNnijjlNjqr808ABjl1sbs+q+KCzYlQyjUfSpBlDFcf7Y1RBYYa3OvjilVTLJk3e7+KBTDHPrYqodeeKKZsLLE+2vLVoQq7zVnD7XqIkZJH31P6qOpRMsp++6XZ6uAKcoe227vUQpxPuhUO/0qLKVHtpZ9r1QMssfnqd3tVVSrySf+WfiqqmBOUPfUM+9B6jEodHCOOa0zNKQqHFkuNqkmUSkXFzqKJsqMTlNg668058AETlCzXcb0EIcCF1GopWGQqC3xS/7aJpDE4aXOo4alVRBWTjhwNaBTCJy6y1xchb0UzaVjiUW+978VocIxVg6bhwnihCRikWNzr+VU2eKOOU2OqvzTwAGOXWxuz6r4oLNiVDKNR9KkGUMVx/tjVEFhhrc6+OKVVMsmTd7v4oFMMc+tiqh154opmwssT7a8tWhCrvNWcPteoiRkkffU/qo6lEyyn77pdnq4Apyh7bbu9RCnE+6FQ7/SospUe2ln2vVAyyx+ep3e1VVKvJJ/5Z+KqqYE5Q99Qz70HqUb4I7X5rTM0pJKPXS77WegpkCkf+etkP1qm0qQ9p+m+7vVwBDlD0Tl2eosksT6q4Z6iEKj10u+1qoAhw+GpUPZqTVIVl6+Lu9ApiDl1+mod9+azVNoQGJclwreea6Dikityqf680JMhHGJdFOg+tE2VEDKbnVW5p4AADKCElENhZfNCYAGJu5Gn50nxkAkhLiNvw80IIMbm5RtW5pXhIiDNV5ZdfNArp0dR7e/o6utT2dkoxhFgplJA5NF8mWp7Y3Z3/c9pl2dvZ2T7JEe05SlIgBHJK0ySaGbRl3ZKskTlFSrxeplLvQPNSeapteqMu1ZPPVHO9XmFmjLtWCmSG6rvUstn3ISslUJdeaMResOztW8kIdyQqU4lTfyd2F5XK3VGqxE2XaTJ5IbBzrTkV3+z+7+7+z+46e/pnKJiYkhZCMgJA4yQhQUrn9yWYrfz9WXx5WQuru3nmujE0fVdVTbjzUhIRxi5udB9aJtKOOU/Y66c0+4QGOUHKtpz5oISOJvcafnUmZQ5+Nk/bVNJvXAexuUbVnvSqfVZX5bnk0UUxxz63KqGTmimbgdHAuEtWgfZRYBONqiJZJH43/bRNpRyymw1S2+tXmAHyhbRfjvf8aiHxKJcfpqLOosicbVQN7Y2jc/p4apUusnHFt+alTDLKFkUbLeiqbQscSi33vfitDhGKsHTcOE8UISMUixudfyqmzxRxymx1V+aeAAxy62N2fVfFBZsSoZRqPpUgyhiuP9saogsMNbnXxxSqplkybvd/FAphjn1sVUOvPFFM2FlifbXlq0IVd5qzh9r1ESMkj76n9VHUomWU/fdLs9XAFOUPbbd3qIU4n3QqHf6VFlKj20s+16oGWWPz1O72qqpV5JP/LPxVVTAnKHvqGfeg9RiUOjhHHNaZmlIVDiyXG1STKJSLi51FE2VGJymwddeac+ACJyhZruN6CEOBC6jUUrDIVBb4pf9tE0hicNLnUcNSqogrJxw4GtAphE5dZa4uQt6KZtKxxKLfe9+K0OEYqwdNw4TxQhIxSLG51/KqbPFHHKbHVX5p4ADHLrY3Z9V8UFmxKhlGo+lSDKGK4/2xqiCww1udfHFKqmWTJu938UCmGOfWxVQ688UUzYWWJ9teWrQhV3mrOH2vURIySPvqf1UdSiZZT990uz1cAU5Q9tt3eohTifdCod/pUWUqPbSz7XqgZZY/PU7vaqqlXkk/8ALPxVVTAnKHvqGfeg9SjfBHa/NaZmlJJR66Xfaz0FMgUj/wA9bIfrVNpUh7T9N93ergCHKHonLs9RZJYn1Vwz1EIVHrpd9rVQBDh8NSoezUmqQrL18Xd6BTEHLr9NQ7781mqbQgMS5LhW8810HFJFblU/15oSZCOMS6KdB9aJsqIGU3OqtzTwAAGUEJKIbCy+aEwAMTdyNPzpPjIBJCXEbfh5oQQY3NyjatzSvCREGaryy6+aBXTo6j29/R1dans7JRjCLBTKSByaL5MtT2xuzv8Aue0y7O3s7J9kiPacpSkQAjklaZJNDNoy7slWSJyipV4vUyl3oHmpPNU2vVGXasnnqjnerzCzRl2rBTJDdV3qWWz7kJWSqEuvNGIvWHZ2reSEO5IVKcSpv5O7C8rlbqjVYibLtJk8kNg51pyK7/Z/d/d/Z/cdPf0zlExMSQshGQEgcZIQoKVz+5LMVv5+rL48rIXV3bzzXRiaPquqptx5qQkI4xc3Og+tE2lHHKfsddOafcIDHKDlW0580EJHE3uNPzqTMoc/Gyftqmk3rgPY3KNqz3pVPqsr8tzyaKKY459blVDJzRTNwOjgXCWrQPsosAnG1REskj8b/tom0o5ZTYapbfWrzAD5Qtovx3v+NRD4lEuP01FnUWRONqoG9sbRuf08NUqXWTji2/NSphllCyKNlvRVNoWOJRb73vxWhwjFWDpuHCeKEJGKRY3Ov5VTZ4o45TY6q/NPAAY5dbG7Pqvigs2JUMo1H0qQZQxXH+2NUQWGGtzr44pVUyyZN3u/igUwxz62KqHXniimbCyxPtry1aEKu81Zw+16iJGSR99T+qjqUTLKfvul2ergCnKHttu71EKcT7oVDv8ASospUe2ln2vVAyyx+ep3e1VVKvJJ/wCWfiqqmBOUPfUM+9B6jEodHCOOa0zNKQqHFkuNqkmUSkXFzqKJsqMTlNg668058AETlCzXcb0EIcCF1GopWGQqC3xS/wC2iaQxOGlzqOGpVUQVk44cDWgUwicustcXIW9FM2lY4lFvve/FaHCMVYOm4cJ4oQkYpFjc6/lVNnijjlNjqr808ABjl1sbs+q+KCzYlQyjUfSpBlDFcf7Y1RBYYa3OvjilVTLJk3e7+KBTDHPrYqodeeKKZsLLE+2vLVoQq7zVnD7XqIkZJH31P6qOpRMsp++6XZ6uAKcoe227vUQpxPuhUO/0qLKVHtpZ9r1QMssfnqd3tVVSrySf+WfiqqmBOUPfUM+9B6lG+CO1+a0zNKSSj10u+1noKZApH/nrZD9aptKkPafpvu71cAQ5Q9E5dnqLJLE+quGeohCo9dLvtaqAIcPhqVD2ak1SFZevi7vQKYg5dfpqHffms1TaEBiXJcK3nmug4pIrcqn+vNCTIRxiXRToPrRNlRAym51VuaeAAAyghJRDYWXzQmABibuRp+dJ8ZAJIS4jb8PNCCDG5uUbVuaV4SIgzVeWXXzQK6dHUe3v6OrrU9nZKMYRYKZSQOTRfJlqe2N2d/3PaZdnb2dk+yRHtOUpSIARyStMkmhm0Zd2SrJE5RUq8XqZS70DzUnmqbXqjLtWTz1RzvV5hZoy7Vgpkhuq71LLZ9yErJVCXXmjEXrDs7VvJCHckKlOJU38ndheVyt1RqsRNl2kyeSGwc605Fd/s/u/u/s/uOnv6ZyiYmJIWQjICQOMkIUFK5/clmK38/Vl8eVkLq7t55roxNH1XVU2481ISEcYubnQfWibSjjlP2OunNPuEBjlByrac+aCEjib3Gn51JmUOfjZP21TSb1wHsblG1Z70qn1WV+W55NFFMcc+tyqhk5opm4HRwLhLVoH2UWATjaoiWSR+N/20TaUcspsNUtvrV5gB8oW0X473/Goh8SiXH6aizqLInG1UDe2No3P6eGqVLrJxxbfmpUwyyhZFGy3oqm0LHEot9734rQ4RirB03DhPFCEjFIsbnX8qps8UccpsdVfmngAMcutjdn1XxQWbEqGUaj6VIMoYrj/AGxqiCww1udfHFKqmWTJu938UCmGOfWxVQ688UUzYWWJ9teWrQhV3mrOH2vURIySPvqf1UdSiZZT990uz1cAU5Q9tt3eohTifdCod/pUWUqPbSz7XqgZZY/PU7vaqqlXkk/8s/FVVMCcoe+oZ96D1GJQ6OEcc1pmaUhUOLJcbVJMolIuLnUUTZUYnKbB115pz4AInKFmu43oIQ4ELqNRSsMhUFvil/20TSGJw0udRw1KqiCsnHDga0CmETl1lri5C3opm0rHEot9734rQ4RirB03DhPFCEjFIsbnX8qps8UccpsdVfmngAMcutjdn1XxQWbEqGUaj6VIMoYrj/bGqILDDW518cUqqZZMm73fxQKYY59bFVDrzxRTNhZYn215atCFXeas4fa9REjJI++p/VR1KJllP33S7PVwBTlD223d6iFOJ90Kh3+lRZSo9tLPteqBllj89Tu9qqqVeST/AMs/FVVMCcoe+oZ96D1KN8Edr81pmaUklHrpd9rPQUyBSP8Az1sh+tU2lSHtP033d6uAIcoeicuz1FklifVXDPUQhUeul32tVAEOHw1Kh7NSapCsvXxd3oFMQcuv01DvvzWaptCAxLkuFbzzXQcUkVuVT/XmhJkI4xLop0H1omyogZTc6q3NPAAAZQQkohsLL5oTAAxN3I0/Ok+MgEkJcRt+HmhBBjc3KNq3NK8JEQZqvLLr5oFdOjqPb39HV1qezslGMIsFMpIHJovky1PbG7O/7ntMuzt7OyfZIj2nKUpEAI5JWmSTQzaMu7JVkicoqVeL1Mpd6B5qTzVNr1Rl2rJ56o53q8ws0ZdqwUyQ3Vd6lls+5CVkqhLrzRiL1h2dq3khDuSFSnEqb+TuwvK5W6o1WImy7SZPJDYOdaciu/2f3f3f2f3HT39M5RMTEkLIRkBIHGSEKClc/uSzFb+fqy+PKyF1d28810Ymj6rqqbceakJCOMXNzoPrRNpRxyn7HXTmn3CAxyg5VtOfNBCRxN7jT86kzKHPxsn7appN64D2Nyjas96VT6rK/Lc8miimOOfW5VQyc0UzcDo4Fwlq0D7KLAJxtURLJI/G/wC2ibSjllNhqlt9avMAPlC2i/He/wCNRD4lEuP01FnUWRONqoG9sbRuf08NUqXWTji2/NSphllCyKNlvRVNoWOJRb73vxWhwjFWDpuHCeKEJGKRY3Ov5VTZ4o45TY6q/NPAAY5dbG7Pqvigs2JUMo1H0qQZQxXH+2NUQWGGtzr44pVUyyZN3u/igUwxz62KqHXniimbCyxPtry1aEKu81Zw+16iJGSR99T+qjqUTLKfvul2ergCnKHttu71EKcT7oVDv9KiylR7aWfa9UDLLH56nd7VVUq8kn/ln4qqpgTlD31DPvQeoxKHRwjjmtMzSkKhxZLjapJlEpFxc6iibKjE5TYOuvNOfABE5Qs13G9BCHAhdRqKVhkKgt8Uv+2iaQxOGlzqOGpVUQVk44cDWgUwicustcXIW9FM2lY4lFvve/FaHCMVYOm4cJ4oQkYpFjc6/lVNnijjlNjqr808ABjl1sbs+q+KCzYlQyjUfSpBlDFcf7Y1RBYYa3OvjilVTLJk3e7+KBTDHPrYqodeeKKZsLLE+2vLVoQq7zVnD7XqIkZJH31P6qOpRMsp++6XZ6uAKcoe227vUQpxPuhUO/0qLKVHtpZ9r1QMssfnqd3tVVSrySf+WfiqqmBOUPfUM+9B6lG+CO1+a0zNKSSj10u+1noKZApH/nrZD9aptKkPafpvu71cAQ5Q9E5dnqLJLE+quGeohCo9dLvtaqAIcPhqVD2ak1SFZevi7vQKYg5dfpqHffms1TaGQuru3nmtiaPquqptx5qQkI4xc3Og+tE2lHHKfsddOafcIDHKDlW0580EJHE3uNPzqTMoc/Gyftqmk3rgPY3KNqz3pVPqsr8tzyaKKY459blVDJzRTNx//9k=) 0 0 repeat-x;border-bottom:solid 1px #275da1;text-align:center}header h1{margin-top:0;margin-bottom:.5em;font-size:2em;font-weight:700;line-height:1;color:#fff;letter-spacing:-1px}header h2{margin-top:0;margin-bottom:1em;font-size:1.5em;font-weight:400;line-height:1.3;color:#9ddcff;letter-spacing:0}header h3{margin-top:0;margin-bottom:1em;font-size:1.2em;font-weight:400;line-height:1.2;color:#9ddcff;letter-spacing:0}.inner,.toc{position:relative;width:840px;font-size:1.1em;margin:0 auto}.toc{padding-top:1em;padding-bottom:0}.toc ul{margin-bottom:0}#content-wrapper{padding-top:30px;border-top:solid 1px #fff}#main-content img{max-width:100%}code,pre{margin-bottom:30px;font-family:Monaco,Consolas,"Bitstream Vera Sans Mono","Lucida Console",Terminal,monospace;font-size:1em;color:#222}code{padding:0 3px;background-color:#f2f8fc;border:solid 1px #dbe7f3}pre{padding:20px;overflow:auto;text-shadow:none;background:#fff;border:solid 1px #f2f2f2;font-size:.9em}pre code{padding:0;color:#2879d0;background-color:#fff;border:none}ul,ol,dl{margin-bottom:20px}hr{height:1px;margin-top:1em;margin-bottom:1em;border:0;background:#aaa;background-image:linear-gradient(to right,#eee,#aaa,#eee)}form{padding:20px;background:#f2f2f2}#main-content h1{margin-top:0;margin-bottom:0;font-size:2em;font-weight:700;color:#474747;letter-spacing:-1px}#main-content h1:before{padding-right:.3em;margin-left:-.8em;color:#9ddcff;content:"/"}#main-content h2{margin-bottom:8px;font-size:1.5em;font-weight:700;color:#474747}#main-content h2:before{padding-right:.3em;margin-left:-1.2em;content:"//";color:#9ddcff}#main-content h3{margin-top:24px;margin-bottom:8px;font-size:1.2em;font-weight:700;color:#474747}#main-content h3:before{padding-right:.3em;margin-left:-1.7em;content:"///";color:#9ddcff}#main-content h4{margin-bottom:8px;font-size:1.1em;font-weight:700;color:#474747}h4:before{padding-right:.3em;margin-left:-2em;content:"////";color:#9ddcff}#main-content h5{margin-bottom:8px;font-size:1em;color:#474747}h5:before{padding-right:.3em;margin-left:-2.4em;content:"/////";color:#9ddcff}#main-content h6{margin-bottom:8px;font-size:.9em;color:#474747}h6:before{padding-right:.3em;margin-left:-3em;content:"//////";color:#9ddcff}p{margin-bottom:20px}a{text-decoration:none}p a{font-weight:400}blockquote{padding:0 0 0 30px;margin-bottom:20px;font-size:1.1em;border-left:10px solid #e9e9e9}ul,ol{padding-left:30px}dl dd{font-style:italic;font-weight:100}.clearfix:after{display:block;height:0;clear:both;visibility:hidden;content:'.'}.clearfix{display:inline-block}* html .clearfix{height:1%}.clearfix{display:block}@media only screen and (max-width: 850px){.toc,.inner{width:93%;font-size:1em}header{padding:10px 0}header h1,header h2{width:100%}header h1{font-size:1.75em}header h2{font-size:1.2em}header h3{font-size:1em}#main-content h1:before,#main-content h2:before,#main-content h3:before,#main-content h4:before,#main-content h5:before,#main-content h6:before{padding-right:0;margin-left:0;content:none}}
code > span.kw { color: #a71d5d; font-weight: normal; }
code > span.dt { color: #795da3; }
code > span.dv { color: #0086b3; }
code > span.bn { color: #0086b3; }
code > span.fl { color: #0086b3; }
code > span.ch { color: #4070a0; }
code > span.st { color: #183691; }
code > span.co { color: #969896; font-style: italic; }
code > span.ot { color: #007020; }
</style>
</head>
<body>
<header>
<div class="inner">
<h1 class="title toc-ignore">Visualizations in R</h1>
<h3 class="author">Gregor Pirs, Jure Demsar and Erik Strumbelj</h3>
<h3 class="date">25/7/2019</h3>
</div>
</header>
<div id="TOC" class="toc">
<ul>
<li><a href="#scatterplot-and-line-plot">Scatterplot and line plot</a><ul>
<li><a href="#shape-aesthetic">Shape aesthetic</a></li>
<li><a href="#facetting">Facetting</a></li>
</ul></li>
<li><a href="#histogram-and-density-plot">Histogram and density plot</a></li>
<li><a href="#bar-plot">Bar plot</a></li>
<li><a href="#boxplot">Boxplot</a></li>
<li><a href="#practice-examples">Practice examples</a><ul>
<li><a href="#example-1">Example 1</a></li>
<li><a href="#example-2">Example 2</a></li>
<li><a href="#example-3">Example 3</a></li>
</ul></li>
</ul>
</div>
<div id="content-wrapper">
<div class="inner clearfix">
<section id="main-content">
<div style="text-align:center">
<p><img src="data:image/png;base64,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" alt="drawing" width="128" /></p>
</div>
<div id="scatterplot-and-line-plot" class="section level1">
<h1>Scatterplot and line plot</h1>
<p>A (2-dimensional) <em>scatterplot</em> can be used to represent the relationship between two variables by plotting pairs of observations. This can be two different variables, one variable as a function of the other, one variable as a function of time, etc. If we use a connecting line instead of just the points, we get a <em>line plot</em>.</p>
<p>In this example, we’ll visualize the average recorded male and female height at 18 years of age by year of birth in Slovenia and Sweden First, we’ll select these countries from the original data set and prepare data in long format:</p>
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1"><span class="kw">library</span>(ggplot2)</a>
<a class="sourceLine" id="cb1-2" title="2"><span class="kw">library</span>(tidyr)</a>
<a class="sourceLine" id="cb1-3" title="3"></a>
<a class="sourceLine" id="cb1-4" title="4"><span class="co"># we obtained this data set from https://ourworldindata.org/human-height</span></a>
<a class="sourceLine" id="cb1-5" title="5">dat <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="dt">file =</span> <span class="st">"./data/average-height-by-year-of-birth.csv"</span>)</a>
<a class="sourceLine" id="cb1-6" title="6">dat <-<span class="st"> </span>dat[dat<span class="op">$</span>Entity <span class="op">==</span><span class="st"> "Slovenia"</span> <span class="op">|</span><span class="st"> </span>dat<span class="op">$</span>Entity <span class="op">==</span><span class="st"> "Sweden"</span>,]</a>
<a class="sourceLine" id="cb1-7" title="7">dat <-<span class="st"> </span>dat[,<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>,<span class="dv">4</span>,<span class="dv">5</span>)] </a>
<a class="sourceLine" id="cb1-8" title="8"><span class="kw">names</span>(dat) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Country"</span>, <span class="st">"Year"</span>, <span class="st">"Male"</span>, <span class="st">"Female"</span>)</a>
<a class="sourceLine" id="cb1-9" title="9">dat <-<span class="st"> </span><span class="kw">gather</span>(dat, <span class="st">"Gender"</span>, <span class="st">"Height"</span>, <span class="op">-</span>Country, <span class="op">-</span>Year)</a>
<a class="sourceLine" id="cb1-10" title="10"></a>
<a class="sourceLine" id="cb1-11" title="11"><span class="co"># print a few randomly selected rows</span></a>
<a class="sourceLine" id="cb1-12" title="12"><span class="kw">set.seed</span>(<span class="dv">0</span>)</a>
<a class="sourceLine" id="cb1-13" title="13"><span class="kw">print</span>(dat[<span class="kw">sample</span>(<span class="dv">1</span><span class="op">:</span><span class="kw">nrow</span>(dat), <span class="dv">10</span>),])</a></code></pre></div>
<pre><code>## Country Year Gender Height
## 363 Sweden 1955 Female 165.6714
## 107 Sweden 1901 Male 172.4297
## 150 Sweden 1944 Male 177.5146
## 230 Slovenia 1923 Female 158.3027
## 364 Sweden 1956 Female 165.7544
## 81 Slovenia 1976 Male 179.0650
## 358 Sweden 1950 Female 165.3037
## 376 Sweden 1968 Female 166.6329
## 262 Slovenia 1955 Female 163.2475
## 249 Slovenia 1942 Female 161.5872</code></pre>
<p>Now we can plot the data:</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" title="1">tmp <-<span class="st"> </span>dat[dat<span class="op">$</span>Gender <span class="op">==</span><span class="st"> "Male"</span> <span class="op">&</span><span class="st"> </span>dat<span class="op">$</span>Year <span class="op">>=</span><span class="st"> </span><span class="dv">1970</span>,]</a>
<a class="sourceLine" id="cb3-2" title="2"></a>
<a class="sourceLine" id="cb3-3" title="3"><span class="co"># creating a layer</span></a>
<a class="sourceLine" id="cb3-4" title="4"><span class="kw">ggplot</span>() <span class="op">+</span><span class="st"> </span><span class="kw">layer</span>(<span class="dt">data =</span> tmp, <span class="dt">geom =</span> <span class="st">"point"</span>, <span class="dt">mapping =</span> <span class="kw">aes</span>(<span class="dt">x =</span> Year, <span class="dt">y =</span> Height, <span class="dt">colour =</span> Country), <span class="dt">stat =</span> <span class="st">"identity"</span>, <span class="dt">position =</span> <span class="st">"identity"</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb3-5" title="5"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Height of males at 18 years old by year of birth."</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb3-6" title="6"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"height (cm)"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb3-7" title="7"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"year of birth"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAHgCAMAAABNUi8GAAAA/FBMVEUAAAAAADoAAGYAOjoAOmYAOpAAZrYAv8QzMzM6AAA6ADo6AGY6OpA6ZmY6ZrY6kLY6kNtNTU1NTW5NTY5NbqtNjshmAABmADpmAGZmOgBmZgBmZrZmkJBmtrZmtv9uTU1uTW5uTY5ubqtuq8huq+SOTU2OTW6OTY6OyP+QOgCQOjqQZgCQkDqQkGaQtpCQ27aQ29uQ2/+rbk2rbm6rbo6ryKur5P+2ZgC2Zjq225C22/+2/7a2/9u2///Ijk3I///bkDrb/7bb/9vb///kq27k///r6+vy8vL4dm3/tmb/yI7/25D/27b/29v/5Kv//7b//8j//9v//+T////yAOtgAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAcP0lEQVR4nO2dC3vcRJaG2x7iYAI7dggGdqEhkEDMDsw6DO7dmXHS4JjF9qxv+v//Zeuia0vq1pGOVOdUf+8D6Yvlr49Ur6tK6pZ6lgAgmFnoAgBYBwQFooGgQDQQFIgGggLRQFAgGggKRANBgWgGC7rcPXO3t0cHpWfvjx+dNz66fnJWz1jMZuXFa1TTWqlmL/b8k/uz2W7Da1Iparg/9slmlfeG56Zkm6DIXNloHbdBdEwt6LJBlsvZbLa2qTs2TiV76SOtn7PZzkmHX1/PuILmm6BRULtiELQnzYJW2SjofP1r9BB0kTb4wmYvZ+21dWVsQedrMiHoAKqC3h75AdVvTtsv/Nk0p3n0q/nBgbkzm+WyZMsal9JB+Hr/4NL+/DId7+zv28V9Wra8TymcTpcqZ5tFv/QtvfC/mbb60nWlzrA8rfQqe0vT166k19Zo958lQS/9D0u5HV+lbRMUmfYF3cKOg3wbbhm8grpWsJvfNWe6ba2g731u783LEuXLlgX9yIzIOz/t+wEv/f25Tytlp0+nBaRLVQT9j0zKZaUHNX8Bie+u8rTyq/xpf/bot2p6wxq993ku6J/2/Q+L3I6vct62CYpML6h55LbdQb4NhzaYMoYLOstwndjcto/rM89vj7xN9tHMGbZXGob9skv/g3Srmwmja9QDc8+2jl02SyuyXfvnnWKxVHX6kC2wmJVmuL4bXOyelSstXsV6vJqeVVldo/Ql7C8sZ3tFbtdXad0E1cx0YT/E59twq2AV1HcddnvarXvpNm7RPK7Vc4mcUqYZTZOXBHWjommIbMZlx0DfVkW20XillfxSjYLaH5V24+3oa39SpJVfxUtUTi+qLGpIn0sr9V5muV1fpXUTFJleULewFzTfhlsF6xB/marqm7OYinnd3KSsJKhrksuqoHnvZeeOfg88FbTI9p1icQwmW6pJ0PtjW4Ttj5NSlfNSpdVXSZJqelGlr2GeVHaSvH9Ox4PSvl6HV2nbBEWmF9QtXOwk5a+9NQgW1PY4c/dwRVDf2vnrZks1CZr1YflxJpNre7wirfoqvooivaugWW73V2nZBBB0BVZB0y2eJMnqEN8kaNMQXxbUp2W/X2R7FvkeSbZUJ0Evd/56dJCUKq2+Sj29PsTnw2zWSduXTXNJr9I8xGeZENTBKqgfULOtW95JKgTNVGneSaoK6o/T+HYqsr34WVCxVEnDJItxNZhlcnVvjz764CQpVVp9FbtnXU5f3Ulyu+H1naQ8t+urtG6C1Z0kL2h2FAGC0mk4zOT256uHmQpB64eZ2gRNDydljVrKnpWmicVSpewk7+eW2W9lLEqHWEtpuTrV9JXDTO5R6TDTR8VsYFF5t3bTq7RugiKzLKg/Dpptw41vbMQE84F6N3+blw/Uf3lUEdT3dY78XfK2nSQ7cds5SXdoi2zf2nlPki9Vzi4GYvtb5Z41HfSLtJVXWUnPq8xrKB+oP7gszVbLx9A3vkrbJigyS4LaFfsNgo7DurdAQ1CZB4yWO9arbB8jCur3ARay/tzT44wj5471KlvIiIKuzOYk4I/2jJ071qtsJWMO8SuzOQGU3mccMXesV9lK8Il6IBoICkQDQYFoICgQDQQFohkq6O/NtD0/DE2pcRbL4hwJCBq6zSWkQlAeNKXGWSyLcyQgaOg2l5AKQXnQlBpnsSzOkYCgodtcQioE5UFTapzFsjhHAoKGbnMJqRCUB02pcRbL4hwJCBq6zSWkQlAeNKXGWSyLcyQgaOg2l5AKQXnQlBpnsSzOkYCgodtcQioE5UFTapzFsjhHAoKGbnMJqRCUh82pjx8/HiG1FxCUBdWC1nR8/Hj1qQ7GQlAIykODfJueqS9SB4JCUBY62NdtkZVcCApBe9Gne+zzOxAUgvahV2/YlLI+NXibS0iFoD3o5WOg1CYgKAtrBb15/tb889Xhx+bm7uXhswv3bHEvmVbQaSYOXEBQFtYJemXNvPvuNHn37OLh9avk3Sf22eKeZeAKF9Q1mWZ3psNEth8QlIU1gr55+ovpQW++uUjuvn9r/vMdalLcswxc4ZxOHdk0gjL1qRCUhY1DfNqDOk/N3SQp7r1v4KrDWcEVRn3lTaWEKg10mYP6KefVs0zL4p5l4F9kTrAetPH9KfrR/s2xPKAHLWMFvfn6NLn6+G1TD2rpu8K9Jn4TtTnPmA9BWdgoaNphMs9BVbV5v0NTEJSFrj3ow+sX+V78i+F78aoE7delQlAWNs9Brw4Pn55mU1G328RwHFSXoKtA0OkI9U5SryM5Utq807FTKcWyxrI4R2IiQSM79t3k5zRv8UNQIt1WOPpj3xB0LCDoSIKqeocfgsYu6GSfQYGgRDqucGRz0M1AUCbkfh5UdyoEZWIcQVVNwMZJVfUhvm0TVFf3MU2bi56GQ1AeICgEpdK4GhC0HgtB+4E56FRtjjloL7AXH67N5XxeBoLyoCm1z8dMOVL7AUFZ0JQKQXmAoBCUEMviHAkIijkoIZbFORIQNHSblwj2OX0IyoOm1JHOJIGgRAauMA1NqRCUBwgaus0LIGgDEDR0m5fAHLQOBA3d5uuY6lxRCMqDplSO2MlOxYOgPGhKhaA8QNDQbb4GCApBR0vFHJQHCBq6zUmM9EFbCMqDptRRYsc6VQGC8qApFYLyAEEh6O8QlAlNqZiD8gBBVQlaT532XDwW50hAUN2CTnw2M4tzJCAoBG2IbV1uciAoBG2IbV1uciCobkExB93AwBWmoSk1WLGjfj0Fi3MkIGhkgo77BT8szpGAoBC0IfaPP/5oXm5yICgErcf+8UeLoSzOkYCgkQnK8jW9ELQfmlLFFNupS4WgLGhKFVNsH0ExB+2HplQxxfYStHW5yYGgsQvaZQ7a1mHWX35yIGj0gtZZVbZ1yll/+cmBoNsnaG3Qh6BMaEoVXCwEldw6U6UKLra+24Q5KA+aUiUX2/9rGlmcIwFBt0/Q2oje/e1RFudIQFAIGrWgQB9O0PITTtBQ1WwAPej29aD1faLOk1IW50hA0C0UdGNs65jP4hwJCBq9oF2OIUFQFjSliim201F4CMqCplQxxfYRFHPQfmhKFVNsL0Fbl5scCBq7oH3moO3LTQ4EjV5QzlgW50hA0NBtzp3a+YMftNh0ucmBoJEJ2v2jc6TYbLnJgaAQtEtsttzkQFAI2iU2W25yIGhkgmIOWmXgCtPQlDpVsb183BzbttzkQFDdgvYb0TfGti43ORAUgjbEti43ORAUgjbEti43ORBUt6CYg25g4ArT0JQaZ7EszpGAoKHbnARPf1kHgrKgKXWUWKYZZx0IyoKmVAjKAwSFoL9DUCY0pWIOygMElSxo3UfsxRMZuMI0NKVyxDaM6BCUyMAVpqEpFYLyAEFDt/kaICgEHS0Vc1AeIGjoNpeQCkF50JTaJ5bxCgtEICgLmlJ7xHY5DA9BiQxcYRqaUiEoDxA0dJsXQNAGIGjoNi+BOWgdCBq6zSWkQlAeNKV2iB3zCgsjxbI4RwKCBmvzXp+dg6BEBq4wDU2pEJQHCApBCbEszpGAoJiDEmJZnCMBQUO3uYRUCMqDptQ4i2VxjgQEnarNp70EyEixLM6RgKATtfnEF1EaKZbFORIQFIISYlmcIwFBISghlsU5EhAUc1BCLItzJCBo6DaXkApBedCUGmexLM6RgKCh21xCKgTlQVNq4Kt8jRTL4hwJCDpO6ljXoYOgRAauMA1FqRCUCQgKQQmxLM6RWCvozfO3ybtDy6vk5qvDj9+6Z+0z6V0I2grmoDysE/Qq8/Dq2cXdy1fJu2cX9tGbV6VlBq4wDU2pcRY7ooktrBH0zdNfnjtB7747TW6+uXC3SfLw82lpoYErTENTapzFjitjExuHeMO7T5KSoHcv3ZBveN8wQYlgm+kgqPPSDfFPraA3X5+WetGBf5E0BKdOdaFE9KBlvKBXbuppdpK+LQb3fB46cIVpyE2d7FKzELSMF/TNi/Th3ffZvjsEXQGCjsVmQf1wbsd5Oxf1HerD33CYqQIEHYvNgvpdo+Tq8NCYmR4ZfZqP9QNXmIbgVMxBRwLvJIVucwmpEJQHTalxFsviHAkIGrrNJaRCUB40pcZZLItzJCBon9QunwQRUyxnLItzJCBoj9ROn6WTUixrLItzJCAoBCXEsjhHAoJCUEIsi3MkICjmoIRYFudIQNDQbS4hFYLyoCk1zmJZnCMBQUO3uYRUCMqDptQ4i2VxjgQEDd3mElIhKA+hUnudQqxpE0BQHgKl9rsIg6ZNoEXQ5cxxQPj9gStMA4Jus6C3R5mZy9nOSdffH7jCNCDoFgt6+9lZ8WzlwVoGrjANzEG3WNCeDFxhGppS4yyWxTkSEDR0m0tI1SLo9b7bSdrtOr4nEHTqWKmC2v3rtXsu//p7d6nKlAW9P94j//7AFaahKTXOYlssuD9+dG4lnbd6cv1B5/3uKmVBb4/aX6CNgStMQ1NqnMW2WLCwfhpD/U0TLILeH0NQ6bEiBS33bPfHs9leKqT55/qDn8y8cW4njwfXT/4y2/13O0ovuw/VlTnoJWX2Ga+gkr8TTqSgpe7RThPt/7mg+6ZXXe6e2cfX+3veMUpPiJ2kWqrob9WUKeiT3BjXx116Ib2g87QntYLOfW9bWp4k6P0x5U1OCEqL5UGmoEUPemmnoamQq7d+MTO8E0Z47CRBUEpsswSZOLefnmwW9PrJPyn7OthJwhyUENtiQbr7buaal/ZgaHmIrwl6f/wFYYRfmYNSfjNeQSXHyhS0OA6a7STdHh2Y251cUDf19DOB5YxyuL06xM+wkyQ8VqagSbLI3klKDzO5He4vP80FNQvspYK6faVegvZh4ArT0JQaZ7EDbXHQxmkIGrrNJaROKuiSdKyoIqg9zkR8Q37gCtPQlBpnsRQ1mnFH7glUBF1YN2mGDlxhGppS4yyWohYPDcdBSW94DlxhGqOkjvStr5o2AQRlYozUsb43W9EmIMQy29eB6lmdVk17BKs7A1eYBgTdckGTS+pZxxC0FT2bgBDL6l4ncJgJc1BCLItzJCBo6DaXkDpU0P9tZKBaHpwXH7rNJaRqENS+E5++R4ori8iN3WJBE/+OP67NJDp2uwXtwcAVpqEpNc5iWyyAoPpS4yy2xQIIqi81zmJbLICgfKn1w54QdGRB7Qfhd8/Wfw609YfbJmjDG0cQlE9Qs3FrgrqPeCwfnfc4oSjZvg+LQNBBsRsEdVt3VVAn5u2nJ/bWdKa7Z9cfnif3P5y4+8n1h/85m/lT5e1ZIrWzQSBo6DaXkDqqoP6MOi/q4iC5fPTbDyfGy3Nzf7lnrLRP2e7VONww0heCpheon81IJ90NXGEamIOGLraPoO4zSDtOPvsOpfFwadQ8sD6ax67rfHKWmll/C3PohRsA2DAHddhT472GZnC//vA3N8Jbb8uCLhrOKN62naTJUuMsdpOgTXvxl25EXsyLHvT+h58+PE87y0LQ5qs24eJhodtcQuqogrqBOd1JcnPQczOdPEjS+4Wg7l7tMqK4wnLoNpeQOv5xUD8H9Xvx6dXGzP302dROsxf03uers0xcPCx0m0tIVfJOEi4eJj92qwXFFZblx26voNmVw7CTJDp2ewXtycAVptEjtcMpcRAUgjJBT+1yUjEE1SJoMcp3P9w0cIVpQNDQxbI4R6LxyiKEA6IDV5gGBA1dbIsFk/Wg2aeZuu/OD1xhGpiDhi62xQIIqi81zmJbLJhqJym/eNiaL11cYeAK09CUGmexLRZMthfvLh42T5a4cIPU2C0XlM7AFaahKTXOYlssgKD6UuMstsWCKQQ1e0j4niT5sRoFTU87bmLz55PQg4ZucwmpbII+fvy4Jmh22nHTL0LQYKlxFttiQcnPkqHpD9PTjv/r2H8Z4uWj8/Rjy+bGfkC5cvrxBkGXZpnuh5gg6PSxCgXNTju253LaQ0QHiT/h2J3zYZ6onH68XtDFo1+P5vieJMmxCgXNTzv+8Py/f9yzV2zwJxzbs+bMEF89/XitoG4/aR73hRsmS42z2A2CNs5BHfYLjz/7x2f/8+QfxszihONkMa+efhy7oH2+EQGCjrsXn512nCy++Lf7H37cy67OkPWgldOP1wpqdrV+tY7qvcJyr++UgaDjCpqddmxGej8LzU4+LuagxenH6wVV/z1JEHTk2D6CZqcd+334dPfdPr4/zvbii9OPNwhKZ+AK04CgoYvtJegg4hIUc9CRY1ssmEpQXPpGfOxWC4pL38iP3WpBcekb+bFbLSgufSM/dqsFxaVv5MfKFHREcOmb0G0uIVWDoD0ZuMI0NKXGWSyLcyQgaOg2l5AKQXnQlBpnsSzOkYCgodtcQioE5UFTapzFsjhHAoKGbnMJqRCUh9XUPh8N2ZzKBARlQbOgvT5ctzGVCwjKAgQN3eYSUiEoDxA0dLEszpHQLCjmoJPHsjhHQrWgklPjLJbFORIQNHSbS0iFoDxoSo2zWBbnSEDQ0G0uIRWC8qApNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORJrBb15/jZ5d2h5ldx8dfjxW/fs3cvDZxfZIgNXmIam1DiLHdnGBtYJepUpefXs4u7lq+Sd8/Lhtbn3SbbMwBWmoSk1zmJHtrGBNYK+efrLcyfo3Xenyc03F+7WPPr+retaPQNXmIam1DiLHV/IVTYO8QbbXxaCFvfeN0xRI9hiOgjqbHRD/FOrpRnvU0EtA/8iaWhKjbPY0X2s0UHQKzf1NDtJ3/5c7UEtA1eYBM+n62pAUOWCvnmRPrSzz4BzUKbPJ9eAoLoFfXD9pu0z/b77w+sXYfbiIehoqaoFTYfzq0N79NM+E+o4KAQdLVWroB0YuMIkMAcNXiyLcyQ0CaoqNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORIQNHSbS0iFoDxoSo2zWBbnSEDQ0G0uIRWC8qApNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORIQNHSbS0iFoDxoSo2zWBbnSEDQ0G0uIRWC9qH++eQo21xCKgTtQcMZHlG2uYRUCNoDCDpdKgTtAQSdLhWC9gFz0MlSISgPmlLjLJbFORIQNHSbS0iFoDxoSo2zWBbnSEDQ0G0uIRWC8qApNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORIQNHSbS0iFoDxoSo2zWBbnSEDQ0G0uIRWC8qApNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORIQNHSbS0iFoJvp8iVIUba5hFQIupFOXyMXZZtLSIWgG4GgIVMh6EYgaMhUCLoZzEEDpkJQHjSlxlksi3MkIGjoNpeQCkF50JQaZ7EszpGAoKHbXEIqBOVBU2qcxbI4RwKChm5zCakQlAdNqXEWy+IcCQgaus0lpEYsKACjgh40dKckITXiHnTgCtPQlBpnsSzOkYCgodtcQioE5UFTapzFsjhHAoKGbnMJqRCUB02pcRbL4hwJCBq6zSWkQlAeNKXGWSyLcyQgaOg2l5AKQXnQlBpnsSzOkQglaJdTkOipvYCgELRGp5M4yan9gKAQtAYEFZUKQVeBoKJSIWgNzEElpUJQHjSlxlksi3MkIGjoNpeQCkF50JQaZ7EszpGAoKHbXEIqBOVBU2qcxbI4RwKChm5zCakQlAdNqXEWy+IcCQgaus0lpEJQHjSlxlksi3MkIGjoNpeQCkF50JQaZ7EszpGAoKHbXEIqBOVBU2qcxbI4RwKChm5zCakQlAdNqXEWy+IcCQgaus0lpEJQHjSlxlksi3MkIGjoNpeQCkF50JQaZ7EszpGAoKHbXEIqBO11jtzGVB4gKATtd5bxplQmICgEhaCyUyEoBBWduvWCYg4qOxWC8qApNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORIQNHSbS0iFoDxoSo2zWBbnSEDQ0G0uIRWC8qApNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORIQNHSbS0iFoDxoSo2zWBbnSKwV9Ob52+TdoeVVcvPV4cdv3bP2mfQuBJ06FoKWuMo8vHp2cffdafLu2YV99OZVaZmBK0xDU2qcxY5oYgtrBH3z9JfnTlAr5803F8nd9/bhw8+npYUGrjANTalxFjuujE1sHOIN7z7xkvoe9O6lG/IN7xsmKBFsMx0EtW46L/0If/P1aakXHfgXSUNTapzFjmxjAx0EvbJiWi2v8l2jYh46cIVpaEqNs9gxVWymg6BvXiTeUt+VOiBooFgIWsYJ6ofzoge1qj78bf1hJp6zjOubZ4zQ0G0uIVW1oGm/eXV4+PQ0OzL6NO9KG1eD6ToN9c0zQmbwNpeQqlXQDjSuBgQdLRaCEmlcDQg6WiwEJdK8HpiDRlosi3Mk8GGR0G0uIRWC8qApNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORIQNHSbS0iFoDxoSo2zWBbnSEDQ0G0uIRWC8qApNc5iWZwjAUFDt7mEVAjKg6bUOItlcY4EBA3d5hJSISgPmlLjLJbFORIQNHSbS0iNWNAWNJ0vr6lWXcVyAEFV1aqrWA4gqKpadRXLAQRVVauuYjkYSVAAeICgQDQQFIgGggLRQFAgGk5B3aWc/LXssyvb51cVlUap1uxGbK26imWGUVB3Sfu7l6+ya9lfPbt4eP3KXZ9ZHOVa04tHi621Wqy/kVssN3yC+kvau2vZ+0sym3/tVe3T64iLolJrevl9qbU2FPvdqdhi2eEe4gtB7R948UgapVrTHlRureViqzehC5sAbkHdEGQvH+o238p1mQVRrtXP5+TWWi42vRFcLDNj7CR9+/NpdmV7sX/opVrTi0fLrbWyYdOa5RbLDLugBvd9Su7K9nKnSqVa095Ibq3VDZuInjCzwz7E2wndJ9mV7R9evxC6s1mqNe1B5dZaLja9EVwsM+w96NWhO0CXjj9iD9eVa/WX35db62qxbvuKLZYZvJMERANBgWggKBANBAWigaBANBAUiAaCAtFA0L4sZzsn5ub6gxP3MLtN/vX34j4YDATtye3R3N2uymgfQ1A+IGhPaj1n6XkIygcEXWGxZ/5Z7iX3x7PZ7pkRbn82mx0k10/+4h4m7gd77mm7pJHxx9ns0bmV0i5jOXDPzeZB1yMWIOgKl0bD++P5/bHRb/no3I3ky92z6/09/3P7A/t/3oPuPzpPH7tlXA9qnrO/FHA1ogGCrmCNvH5yZj219//vPEm8fGmH6H5g/ikEnfsF0mW8oPP62A96AUFXMcO7/W/mR2sjo7nZOcl1uzSdYyqke2xkdiZnT+VzUAjKAgRd5frJP4/ndnR3j26Pdk7KPkLQiYGgq9wff2Gcu9zxejkfL8s9qP1BeYhPZYSg4wBBayzt7vn9sTHTyGh9vN4vCbpuJ8k+5eawEJQNCFrD7w/Zo0m2s1yYm7+6ETz9sT/MVDoO+mP22D+1mO1BUD4gaA03qwRCgKA1lgehKwAFEHQFd5AdiAGCAtFAUCAaCApEA0GBaCAoEA0EBaKBoEA0/w/4K8NesAIWJQAAAABJRU5ErkJggg==" /><!-- --></p>
<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" title="1"><span class="co"># using "shorthand" instructions</span></a>
<a class="sourceLine" id="cb4-2" title="2"><span class="kw">ggplot</span>(tmp, <span class="kw">aes</span>(<span class="dt">x =</span> Year, <span class="dt">y =</span> Height, <span class="dt">colour =</span> Country)) <span class="op">+</span></a>
<a class="sourceLine" id="cb4-3" title="3"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb4-4" title="4"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Height of males at 18 years old by year of birth."</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb4-5" title="5"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"height (cm)"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb4-6" title="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"year of birth"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>One of the advantages of ggplot2 (grammar of graphics) is that once a mapping has been determined between the data and aesthetics, we can easily add another graphical layer that uses a different geometric representation, for example, a line:</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" title="1">tmp <-<span class="st"> </span>dat[dat<span class="op">$</span>Gender <span class="op">==</span><span class="st"> "Male"</span> <span class="op">&</span><span class="st"> </span>dat<span class="op">$</span>Year <span class="op">>=</span><span class="st"> </span><span class="dv">1970</span>,]</a>
<a class="sourceLine" id="cb5-2" title="2"><span class="kw">ggplot</span>(tmp, <span class="kw">aes</span>(<span class="dt">x =</span> Year, <span class="dt">y =</span> Height, <span class="dt">colour =</span> Country)) <span class="op">+</span></a>
<a class="sourceLine" id="cb5-3" title="3"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb5-4" title="4"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Height of males at 18 years old by year of birth."</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb5-5" title="5"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"height (cm)"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb5-6" title="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"year of birth"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb5-7" title="7"><span class="st"> </span><span class="kw">geom_line</span>()</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div id="shape-aesthetic" class="section level2">
<h2>Shape aesthetic</h2>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" title="1">tmp <-<span class="st"> </span>dat[dat<span class="op">$</span>Year <span class="op">>=</span><span class="st"> </span><span class="dv">1970</span>,]</a>
<a class="sourceLine" id="cb6-2" title="2"><span class="kw">ggplot</span>(tmp, <span class="kw">aes</span>(<span class="dt">x =</span> Year, <span class="dt">y =</span> Height, <span class="dt">colour =</span> Country, <span class="dt">shape =</span> Gender)) <span class="op">+</span></a>
<a class="sourceLine" id="cb6-3" title="3"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb6-4" title="4"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Height at 18 years old by year of birth."</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb6-5" title="5"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"height (cm)"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb6-6" title="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"year of birth"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb6-7" title="7"><span class="st"> </span><span class="kw">geom_line</span>()</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="facetting" class="section level2">
<h2>Facetting</h2>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" title="1">tmp <-<span class="st"> </span>dat[dat<span class="op">$</span>Year <span class="op">>=</span><span class="st"> </span><span class="dv">1970</span>,]</a>
<a class="sourceLine" id="cb7-2" title="2"><span class="kw">ggplot</span>(tmp, <span class="kw">aes</span>(<span class="dt">x =</span> Year, <span class="dt">y =</span> Height, <span class="dt">colour =</span> Country)) <span class="op">+</span></a>
<a class="sourceLine" id="cb7-3" title="3"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb7-4" title="4"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Height at 18 years old by year of birth."</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb7-5" title="5"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"height (cm)"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb7-6" title="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"year of birth"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb7-7" title="7"><span class="st"> </span><span class="kw">geom_line</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb7-8" title="8"><span class="st"> </span><span class="kw">facet_wrap</span>(.<span class="op">~</span>Gender)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>By default all facets have the same scales. We can change that to each facet having its own x-scale, y-scale, or both:</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" title="1">tmp <-<span class="st"> </span>dat[dat<span class="op">$</span>Year <span class="op">>=</span><span class="st"> </span><span class="dv">1970</span>,]</a>
<a class="sourceLine" id="cb8-2" title="2"><span class="kw">ggplot</span>(tmp, <span class="kw">aes</span>(<span class="dt">x =</span> Year, <span class="dt">y =</span> Height, <span class="dt">colour =</span> Country)) <span class="op">+</span></a>
<a class="sourceLine" id="cb8-3" title="3"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb8-4" title="4"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Height at 18 years old by year of birth."</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb8-5" title="5"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"height (cm)"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb8-6" title="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"year of birth"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb8-7" title="7"><span class="st"> </span><span class="kw">geom_line</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb8-8" title="8"><span class="st"> </span><span class="kw">facet_wrap</span>(.<span class="op">~</span>Gender, <span class="dt">scales =</span> <span class="st">"free_y"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>We can facet on an arbitrary number of variables:</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" title="1">tmp <-<span class="st"> </span>dat[dat<span class="op">$</span>Year <span class="op">>=</span><span class="st"> </span><span class="dv">1970</span>,]</a>
<a class="sourceLine" id="cb9-2" title="2"><span class="kw">ggplot</span>(tmp, <span class="kw">aes</span>(<span class="dt">x =</span> Year, <span class="dt">y =</span> Height)) <span class="op">+</span></a>
<a class="sourceLine" id="cb9-3" title="3"><span class="st"> </span><span class="kw">geom_point</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb9-4" title="4"><span class="st"> </span><span class="kw">ggtitle</span>(<span class="st">"Height at 18 years old by year of birth."</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb9-5" title="5"><span class="st"> </span><span class="kw">ylab</span>(<span class="st">"height (cm)"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb9-6" title="6"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"year of birth"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb9-7" title="7"><span class="st"> </span><span class="kw">geom_line</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb9-8" title="8"><span class="st"> </span><span class="kw">facet_wrap</span>(.<span class="op">~</span>Gender <span class="op">+</span><span class="st"> </span>Country, <span class="dt">scales =</span> <span class="st">"free_y"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
</div>
<div id="histogram-and-density-plot" class="section level1">
<h1>Histogram and density plot</h1>
<p>A <em>histogram</em> is a way of representing the shape of the distribution of a single variable by binning the observations and plotting the counts. A <em>density plot</em> can be considered a continuous analogue to the histogram – instead of binning the observations, we use some sort of kernel density observation.</p>
<p>For this example, we’ll use data from all countries but only for year 1996:</p>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" title="1"><span class="co"># we obtained this data set from https://ourworldindata.org/human-height</span></a>
<a class="sourceLine" id="cb10-2" title="2">dat <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="dt">file =</span> <span class="st">"./data/average-height-by-year-of-birth.csv"</span>)</a>
<a class="sourceLine" id="cb10-3" title="3">dat <-<span class="st"> </span>dat[dat<span class="op">$</span>Year <span class="op">==</span><span class="st"> </span><span class="dv">1996</span>,]</a>
<a class="sourceLine" id="cb10-4" title="4">dat <-<span class="st"> </span>dat[,<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>,<span class="dv">4</span>,<span class="dv">5</span>)] </a>
<a class="sourceLine" id="cb10-5" title="5"><span class="kw">names</span>(dat) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Country"</span>, <span class="st">"Year"</span>, <span class="st">"Male"</span>, <span class="st">"Female"</span>)</a>
<a class="sourceLine" id="cb10-6" title="6">dat <-<span class="st"> </span><span class="kw">gather</span>(dat, <span class="st">"Gender"</span>, <span class="st">"Height"</span>, <span class="op">-</span>Country, <span class="op">-</span>Year)</a></code></pre></div>
<p>Our goal is to understand the distribution of male/female heights across the world:</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" title="1"><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> Height)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb11-2" title="2"><span class="st"> </span><span class="kw">geom_density</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb11-3" title="3"><span class="st"> </span><span class="kw">xlim</span>(<span class="dv">140</span>,<span class="dv">190</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" title="1"><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> Height, <span class="dt">fill =</span> Gender)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb12-2" title="2"><span class="st"> </span><span class="kw">geom_density</span>(<span class="dt">alpha =</span> <span class="fl">0.5</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb12-3" title="3"><span class="st"> </span><span class="kw">xlim</span>(<span class="dv">140</span>,<span class="dv">190</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" title="1"><span class="co"># </span><span class="al">NOTE</span><span class="co">: it's easy to save plots in one of the common formats </span></a>
<a class="sourceLine" id="cb13-2" title="2"><span class="co"># (jpg, png, bmp, eps, pdf; it automatically reads the extension)</span></a>
<a class="sourceLine" id="cb13-3" title="3">g1 <-<span class="st"> </span><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> Height, <span class="dt">fill =</span> Gender)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb13-4" title="4"><span class="st"> </span><span class="kw">geom_density</span>(<span class="dt">alpha =</span> <span class="fl">0.5</span>) <span class="op">+</span><span class="st"> </span><span class="kw">xlim</span>(<span class="dv">140</span>,<span class="dv">190</span>)</a>
<a class="sourceLine" id="cb13-5" title="5"><span class="kw">ggsave</span>(<span class="st">"my_plot.pdf"</span>, g1, <span class="dt">width =</span> <span class="dv">5</span>, <span class="dt">height =</span> <span class="dv">3</span>)</a></code></pre></div>
<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb14-1" title="1"><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> Height)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb14-2" title="2"><span class="st"> </span><span class="kw">geom_histogram</span>()</a></code></pre></div>
<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb16-1" title="1"><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> Height)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb16-2" title="2"><span class="st"> </span><span class="kw">geom_histogram</span>() <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb16-3" title="3"><span class="st"> </span><span class="kw">facet_wrap</span>(.<span class="op">~</span>Gender)</a></code></pre></div>
<pre><code>## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.</code></pre>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="bar-plot" class="section level1">
<h1>Bar plot</h1>
<p>A <em>bar plot</em> can be used to represent the value of a variable for different groups. This includes representing the distribution of a variable with a relatively small number of unique values (categorical, ordinal) or the relationship between such a variable and a property of a numerical variable (for example, the mean).</p>
<p>In this example we’ll plot the average age for different parts of the world:</p>
<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb18-1" title="1"><span class="co"># we obtained this data set from https://ourworldindata.org/human-height</span></a>
<a class="sourceLine" id="cb18-2" title="2">dat <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="dt">file =</span> <span class="st">"./data/average-height-by-year-of-birth.csv"</span>)</a>
<a class="sourceLine" id="cb18-3" title="3">dat <-<span class="st"> </span>dat[dat<span class="op">$</span>Year <span class="op">==</span><span class="st"> </span><span class="dv">1996</span>,]</a>
<a class="sourceLine" id="cb18-4" title="4">dat <-<span class="st"> </span>dat[,<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>,<span class="dv">4</span>,<span class="dv">5</span>)] </a>
<a class="sourceLine" id="cb18-5" title="5"><span class="kw">names</span>(dat) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Country"</span>, <span class="st">"Year"</span>, <span class="st">"Male"</span>, <span class="st">"Female"</span>)</a>
<a class="sourceLine" id="cb18-6" title="6">dat <-<span class="st"> </span><span class="kw">gather</span>(dat, <span class="st">"Gender"</span>, <span class="st">"Height"</span>, <span class="op">-</span>Country, <span class="op">-</span>Year)</a>
<a class="sourceLine" id="cb18-7" title="7">dat <-<span class="st"> </span>dat[dat<span class="op">$</span>Country <span class="op">%in%</span><span class="st"> </span><span class="kw">c</span>(<span class="st">"Middle East and North Africa"</span>, <span class="st">"South Asia"</span>, <span class="st">"Sub-Saharan Africa"</span>, <span class="st">"Latin America and Caribbean"</span>,</a>
<a class="sourceLine" id="cb18-8" title="8"> <span class="st">"Europe and Central Asia"</span>,<span class="st">"East Asia and Pacific"</span>),]</a>
<a class="sourceLine" id="cb18-9" title="9"></a>
<a class="sourceLine" id="cb18-10" title="10"><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> Country, <span class="dt">y =</span> Height, <span class="dt">fill =</span> Gender)) <span class="op">+</span></a>
<a class="sourceLine" id="cb18-11" title="11"><span class="st"> </span><span class="kw">geom_bar</span>(<span class="dt">stat =</span> <span class="st">"identity"</span>, <span class="dt">position =</span> <span class="st">"dodge"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAqAAAAHgCAMAAABNUi8GAAAC6FBMVEUAAAAAADoAAGYAOmYAOpAAZrYAv8QzMzM6AAA6ADo6AGY6ZpA6ZrY6kNtNTU1NTVNNTVlNTV5NTWRNTW5NTW9NTXlNTYNNTY5NU01NU25NU39NWU1NWY5NXm5NY6tNZG9NZKJNaX9NaatNbnlNboNNbo5Nbp1NbqtNechNg45Ng8hNjshTTU1TTVlTTWRTTWlTTW5TTYNZTU1ZTVlZTWRZTXlZTY5ZY45ZY6teTU1eTWReTY5eU15eXk1eneRjTU1jTY5jbo5jbqtjjoNjq+RkTU1kTVNkTWRkTW5kTY5kov9kq+RmAABmADpmAGZmOgBmOjpmZgBmZjpmZmZmZrZmkJBmtrZmtv9pTVlpTY5pf15pq+RuTU1uTV5uTWRuTW5uTW9uTXluTYNuTY5uU01uZE1uaU1uaX9ubo5ubqtujo5ujqtujshunZ1uq6tuq7Vuq81uq+Rutf9vTW5vTY5vU01vZG5vaU1vtchvtf95TU15TW55TY55bk15eU15jm55yP9/U01/zf+Dbk2Djm6DyP+OTU2OTVmOTV6OTWOOTWSOTW6OTY6OaU2Obk2Obm6ObquOg02Ojk2Ojo6Ooo6Oq2SOtauOyMiOyOSOyP+O5OSO5P+QOgCQOjqQOmaQZpCQkDqQkGaQtpCQ2/+dXk2dXlOdbk2dyKud5P+ijk2ijm6i5Kui/+Si//+rY1mrZE2raU2rbk2rbm6rboOrbo6rjk2rjqurnW6rq46ryI6ryKurzaur5Mir5P+1b021q261//+2ZgC2Zjq2tma225C22/+2/9u2///IeU3Ig03Ijk3Ijm7IyI7IzX/I5I7I5KvI/8jI/+TI///Nf1PN///bkDrbkGbb/7bb///knV7kq2Tkq2nkq27k5I7k5Kvk/8jk///r6+vy8vL4dm3/omT/tW7/tW//tmb/yHn/yIP/yI7/zX//25D/27b/5I7/5J3/5Kv//6L//7b//8j//83//9v//+T////arxbwAAAACXBIWXMAAA7DAAAOwwHHb6hkAAAY2klEQVR4nO2de3wc11mG18YmtsFDUrcIKLdCgwoKgTjFEAKNgRjaoHAHNVREpOISc624Ywp1IRGldpxAwO1iF5qIS00JRCbcnC7FUKp6k1bJgqhDVVctpApr4Wy01c6/nHNmZnf2NprZuex8et/v94t3d2bOM2fP++jMZbVKwWaxclyFYXeAxQoqCsrKdVFQVq6LgrJyXRSUleuioKxc12CCfjxqRW8xBCSJIVtkWRSUxMgtsiwKSmLkFlkWBSUxcossi4KSGLlFlkVBSYzcIsuioCRGbpFlUVASI7fIsigoiZFbZFkUlMTILbIsCkpi5BZZFgUlMXKLLIuCkhi5RZZFQUmM3CLLoqAkRm6RZVFQEiO3yLIoKImRW2RZFJTEyC2yLApKYuQWWZZcQT89TA25k1uTmLCCwUVB0+zk1iQmrGBwUdA0O7k1iQkrGFwUNM1Obk1iwgoGFwVNs5Nbk5iwgsEl9w83hBJ02J1kxS3OoGl2cmsSE1YwuChomp3cmsSEFQwuCppmJ7cmMWEFg4uCptnJrUlMWMHgoqBpdnJrEhNWMLgoaJqd3JrEhBUMLgqaZie3JjFhBYOLgqbZya1JTFjB4KKgaRLzoFPyxIQVDC4KKotIQUNVBqOwaUnQiYLGLgoqi0hBQ1Xk95R8UiJ0Sp5IQUNV5PeUfFIidEqeSEFDVeT3lHxSInRKnkhBQ1Xk95R8UiJ0Sp5IQUNV5PeUfFIidEqemLyg0fuYsILBRUFlESloqMpgFIaAlECkoKEqg1EYAlICkYKGqgxGYQhIEsMRE1YwuCgoiVGJCSsYXBSUxKjEhBUMrlwK+t9hKg9RYRITVjC4KGicqDCJCSsYXBQ0TlSYxIQVDC4KGicqTGLCCgYXBY0TFSYxYQWDi4LGiQqTmLCCwUVB40SFSUxYweCioHGiwiQmrGBwUdA4UWESE1YwuChonKgwiQkrGFwUNE5UmMSEFQwuChonKkxiwgoGF4igEogp6ZQ8MWEFg4uC5oaYkk7JExNWMLjiC5pCUhJ0SuFtJ65TSn1MWMHgoqC5IVLQXkVBc0OkoL2KguaGSEF7FQXNDZGC9ioKmhsiBe1VFDQ3RAraqyhobogUtFdR0NwQKWivoqC5IVLQXkVBSYxApKBiosIkUlAxUWESKaiYqDCJORO0Nl2x7WXLskYqdn3WGl3xVlBQUGK+BK1qMe1yUT9vzBft5TFvDQUFJeZK0PK+c2oGbZwt6Rf14xVnQjVFQUGJuRLUOcSrQ7tlFe3a4RW7fky7epUq/0bJjUKKSBKTIWZfmwpamyrpWbQ66gmqizMoKDGHM6ipcrE1g+qioKDE/ArKc1AS8ymoPrY3Hqs05md4FU9iDgXV90H3qUM774OSmDtB+xYFBSVSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRKEdRfyY1CikgSkyFmX5xBSYxAlDKDUlBQIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYxGBBlwqqJvqsXN2+MIhqFJTECMQgQTdOawVXC3t7r05D0Np0xbbrs9boSvOBgkITgwR1DVzacTErQavWSMVuzBft5THvgYJiEwME3Ti91/e8UFA+ru1+eJc55q+PF7Y9pBZ4y/e8sxBW1wBBy/vOqRm0fryiZ1L3gYJiEwMEXR+faPm508yka7vUbLq0fWF9fK9avX2htXxnODuDBXUO8bXDK3b9WMl9UAuvUuXfKLlRSBFJYjLEgFrbPaf+UTPmtjlzNFfCru2aMMvNayVq2/KQtamg1VFjpvvgruAMCkoMMYMqIc3VfKGw13FWvdanpWt7FtqWJyVo1wxKQYGJAYJ656CekLY3qfoE9S9PSlCeg5IY7ip+ybnu0Yf0bXNtgppDu/qnbfkAgrqTdOt+gDayMT/jXMXP8CqexCBB7fPOfdAdFzdOq6lS2egJuj6+071I8i1PSlDeByUx7CdJq94nSfp2kpotPUHbbjN5yyML6p7Bqtr8HgAFBSUGC5pG9ZhBQxQFBSUOV9DwRUFBiUMWVN9mLRRCfApFQUGJwxXUfBIVqigoKHG4gvIclMRNiMOeQSdCtqKgoMThChr+V/YoKChxiIKujzfvg/IiicQ+xABBe9M/kZigkYqCghIpqJioMInDFbR1lN/sdhMFBSUOeQZdcn7jee+mN0QpKChx2DPohH5YdX83n4KS2EmkoGKiwiQOV9DmIb7vd5spKDhxyIJ6v3G6tG2TXyiloKDEgQV1fg+pzx8dsc03lsIIGrYoKChxcEH7CUhBSUyQGFvQ9XH9QeXGOx5S0+mqmVLXzB8f0euddf0EVVdI3n1QftRJYh9ibEHPqwucneYXO/WfF1FL12+f0w96vbOun6CRioKCEgcXdJf5/EfruP4dCxvvmLP1f/qlKrXEVVU9o6AkDk6MO4Oag/S2uTZBz+tjthbUWRco6JI6HdjsFhMFBSbGFtSZIX2C6pvvziG+e/bsEvT8jg+PT4T54gcFBSXGFVSfZ67uuOgTVK9Y2z3nnoOuds2OHZ8kaZ9D/NoyBQUlxhZU/wmHOf8Mqo/an/adE+5VfPcNeApKYgTiwIIOXO0fdepDvP6ok4KS2JM4ZEGdjzo395OCohKHLWjYoqCgRAoqJipM4hAF5bc6SdycGCCo/YmelZigpsLcpNdFQUGJAYL2bhjXTwpKYhRiZEE5gw4rKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiQOUVDeByVxc+KwZ9CwRUFBiQML6vwPjs83577NvuVJQUkchDi4oLs/46K9/l17KGhWUWESBxd0z/fM2Wvfq399PvhrxhSUxBjEGIL+64T9nw9v/jVjCkpiDGIMQd/3mRt/9L7mV+f6fs2YgpIYgxhD0Pf/8Ye/z5x5Bn/NmIKSGIMYQ9CFf3lor9Ey+GvGFJTEGMQ4gur/Ubxz8hn0NWMKSmIMYhxBXTs3+ZoxBSUxBnFgQQeuwQT1V3KjkCKSxGSIAdW7IT/qDIckMRmilBmUgoISKaiYqDCJFFRMVJjEAEEz+dpx2KKgoMQgQdMpCkpiBCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRLzKOiyZVkjFbs+a42ueMsoKCgxj4KWi/rfxnzRXh7zllFQUGIOBW2cLemH+vGKXZuuuAspKCgxh4KqQ7tlFe3a4RW7fky7epUq/wbJjUKKSBKTIWZfmwpamyrpWbQ66gmqizMoKDGHM6ipcrE1g+qioKDE/ArKc1AS8ymoPrY3Hqs05md4FU9iDgXV90H3lWzeByUxp4L2KgoKSqSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSZQiqL+SG4UUkSQmQ8y+OIOSGIEoZQaloKBECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkwiBRUTFSaRgoqJCpNIQcVEhUmkoGKiwiRSUDFRYRIpqJioMIkUVExUmEQKKiYqTCIFFRMVJpGCiokKk0hBxUSFSaSgYqLCJFJQMVFhEimomKgwiRRUTFSYRAoqJipMIgUVExUmkYKKiQqTSEHFRIVJpKBiosIkUlAxUWESKaiYqDCJFFRMVJhECiomKkxijgWtz1qjK94LCgpKzK+gjfmivTzmvaKgoMT8Clo/XrFr0xX3FQUFJeZX0NrhFbt+rKSeXaUqzR6xWL4KK2h11BNU18ejVvQWQ0CSGLJFlhV9BtWVwSgMAUliyBZZVvxz0JRGYQhIEkO2yLLCX8XP9LmKT2kUhoAkMWSLLCv+fdCURmEISBJDtsiy4n+SlNIoDAFJYsgWWRYFJTFyiyyLgpIYuUWWRUFJjNwiy6KgJEZukWVRUBIjt8iyKCiJkVtkWRSUxMgtsiwKSmLkFlkWBSUxcossi4KSGLlFlkVBSYzcIsuioCRGbpFlDSZo5ErhSyLJI0nMYVFQEnNdFJTEXBcFJTHXlZGgLNZgRUFZuS4Kysp1UVBWrouCsnJdkQStTVqq9pU6lrp/z6H1h0ds39946FmNR/dbXs100Rrz1k8Etdd/aU/XJ1Xr1lehVUO9V9+eVYf69a1//2qT+tv/5REFe1rvR+2sqvbzZX9W9LWpTS96Q1Eutnc+oMe1yWLXNm6vfV3WX/C2PrvSsWGP7XrsVDcdaW3l61v7mk3i8e1DZTETtkEqFU3Qnt30llYfnOmxtmc1Hj3gJeAf6sDd+Fo7gi6/+DUVu9w01G3la6w6FL1vtamfXLHr9+t2DUfQe3Sw5c+5t0OYM076kQQd6fSuUzzVz/rsyenKcusHr992PXZTn1W78TVt9a1jTSjfzD6GZ6Zbgwmqp1L1jqv6p1L9bJofzcbZ9zyw4i5zZilno+bmtcN/axaoBtfe5wqqp6mTZjoyIDUlXXnlH6iHc9NPzXqTdXfrExpbP/a42omO/oqajo/q1upBP7e+9oSaAFWrX3ng0vTTZ//Bst7wV5b1Ott+zrJe9Ih9+fpfH/ngdZb1tlnN7+zl5a/+Ucs6+aDe/7Un3qb/eXVJsV/+I7fVpm6xrEPWvm86MbI4vTh95kHT8ILa4W0u2umDYlynH7p6XJt+cswZRGfManefUNsp2O95XdBjeOmuI9a+f7zxl0c+tN8aUb24+pTD69yux1h7P/HeMaL8YPO9eXOBt6GDcl/d7Y5Xa5S9faiO7jt3t37DptNt45VNDSSoeafTFf33mpbHmlPX4RX1E9ta5m7U2rw2OWP+SF5ZPVhNQRenHr/r1x6fVLNG+RuL1S8a/ej+0Ut3qgE584b5e8a8v6nX2VqPUHX0krPj+pFX2c+8pHL5ultrd45emryh8qx1r4npx+84c1L9AKjeTH7+yoUDlfqRb7f//YtV3Efrb7m58vxNRxXjY529vHzdtxSrX/Dn02d+evpJ6zf0zr5wxdnnlRtP2RduqDxjAlYdHF3R7/LIl6xcvv6R+pFbNVpvUpt+6i03zZiudPRYbV52LCqbNfqQ73tn7hi+ff5ld1T0KrWv/1Xz9p2jH1O9Vfvo2K7HWDfm3dWeoKaLeom3pn0wm6+KnaPc3Ie72sCLbeOVUQ1wDuq+1eMV9+js9ndZvbUxu32ZHkKn1DN32PQy/zlo0Xj61PGnjh3UxCv7j9Zef7+WVi3r09ocMKtj3k7ULl/4tkd0hFMHF6cO6jBNh372+JNfrmbQkt3401fZz72o9MK3/qYm6dWq6ZVXPtKit55dvv7dP/X817/7rjcuKrfVOUTjr1/h7lPv/a2/YNp556AvvVcfRutHjrpoMzuah/qxg4udPdYvHlhxF7UmOt85sTOGz1rWNTdrQkUJ765Ve+3arsdYV81RpylosXWYrzYvHlqD6XvVvcLZR6t/LS1b45VBDXgOWnYOLpPecJiz6c5l5eZ5uXnmf6MXmjOoWXZBH8GmvnmlcbZkMjlzUh3nmiPa1doMeu2wN4PqA+vVpzoFLZurmINa0E+92WxRd84ajKCHLOvF/+x7K81nl6//y7/76NcojPLL9PLC111y9qm6ZX6irj5lZtC/KJmOPPG7lneCsa9kNlF9vUXvebGrx+rZ8oy7SL3VLkHdMdTz+FeeUm+m8vw3vMusPaRPILq26z3WtanmIf4J00W1asxb0z6YvledK3x98bp5eKVjvDKpwQ7xs0XvedU7ipj+Oz+uzrLWRu6zthnUL+hdR9Rp6LQ3gypB9Qz6xsX2nXXNoM1z0BcOHTXH5jZB1aWGFvjCAS2oyllNc7+q26q+6SPy7AFX465eqsVP/P0Ni60ZdP7V71HtPvXm29Tcrmc1pyOL+iJJ7bx+5DZbnSy4aLWJPsQrem2q5wyqvDzXfwY1Y/iBV+hltxxtzaBubzu26zHWVSNiueibQd0LSm9Nx2C2XrWvaO2jcwb1RZ9NDSSo6fJUSZ+sNAVddg67rWXuRq3Nm8PmOwfVR6llPdksTpX0OejL7vjQ/jF9/qbPQX/fnGX2at12FV87dKv9yWve1S5obfq9RdXq2ZdoQT/ySyW7/ttfUX3p6+z/+bz/0Bv+8GvUOejPGdE6eqnWVq+5edF3DnrPyJkZ+wPWvRp74atKz6qZ1wjqHP8OjdlqumuhFeNx1YfaD9282NljM1DmUt49B+0U1Izhc5Y6H3fPd9U5qDpdXnztiJlS27frMdbmWl0NqRlVvZvmBYK3pn0wO4bW97S5j1b/tOr+8cqoBjgHVYO9bJkLU2e2b8zrfx5zLzTKzStLdyNVzjPvzauDx7X3OeegR/Wqnzn+XrPevYq/8U3qIFrzXcV3tz7Rug+qD1//pQ67P1Z8/qYRfWB+/YmRD+q58SOm1ZUb//BsqfE39ytB3/rzum/6mlitfkavPaT5nb10PZ9++lH16u1mZ/o+6Of+VrH2Wsv60kP69LB5DqqG4p/Mzm0H3fgTw9D0+w4sdvbYTX6keRVvVo5423lj+DuT5hxU35zQV/GfZVk/aFkv/8Wu7XqMtTOEtjOq5ireu2ntW+MbzNarjhXNfZxr/QA5V/Gt8cqmcvdJUo/7oizgoqCsXFfuBGWx/EVBWbkuCsrKdVFQVq6LgrJyXRQ0qJYKhcK2uYAN/u/fMusLaFHQ/rVxesdFLelE3y3WdgfZy0qgKGj/Oq/9VIY6D72KgqZeFLRvrY9PNJ9vnC4UdrpCqn/Wdj+8q1CYWFP/7F3b887C9u9WK+2lnUPr69YtCtq3fNPjxumd5r+moLvUrLq0fUG/XtulvFzdvqA2mBhib7dqUdC+tbZnwXuq/dP/tASdcGdSLeiEM9v6tmclVhS0b/lm0FV9GuoK2fnobKYO7zzCp1EUtG9556Drt89tLujanvfzCJ9GUdD+5V6+q3PNVX0z1H+I7xJ04/T38wifRlHQ/tW6D+pdJK2P71WP25qCmlNP50xgqcAjfBpFQYPqvPdJknubydY3ln7g9qagaoOdrqDmWomVeFHQhIrX8OkUBU2olvYOuwdbsyhoImXu3LNSKArKynVRUFaui4Kycl0UlJXroqCsXBcFZeW6KCgr1/X/uysFCpTTZk4AAAAASUVORK5CYII=" /><!-- --></p>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" title="1"><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> Country, <span class="dt">y =</span> Height, <span class="dt">fill =</span> Gender)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb19-2" title="2"><span class="st"> </span><span class="kw">geom_bar</span>(<span class="dt">stat =</span> <span class="st">"identity"</span>, <span class="dt">position =</span> <span class="st">"dodge"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb19-3" title="3"><span class="st"> </span><span class="kw">coord_flip</span>()</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="boxplot" class="section level1">
<h1>Boxplot</h1>
<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" title="1"><span class="co"># we obtained this data set from https://ourworldindata.org/human-height</span></a>
<a class="sourceLine" id="cb20-2" title="2">dat <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="dt">file =</span> <span class="st">"./data/average-height-by-year-of-birth.csv"</span>)</a>
<a class="sourceLine" id="cb20-3" title="3">dat <-<span class="st"> </span>dat[,<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>,<span class="dv">4</span>)] </a>
<a class="sourceLine" id="cb20-4" title="4"><span class="kw">names</span>(dat) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Country"</span>, <span class="st">"Year"</span>, <span class="st">"Height"</span>)</a>
<a class="sourceLine" id="cb20-5" title="5">dat <-<span class="st"> </span>dat[dat<span class="op">$</span>Year <span class="op">></span><span class="st"> </span><span class="dv">1960</span>,]</a>
<a class="sourceLine" id="cb20-6" title="6"></a>
<a class="sourceLine" id="cb20-7" title="7"><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> <span class="kw">factor</span>(Year), <span class="dt">y =</span> Height)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb20-8" title="8"><span class="st"> </span><span class="kw">geom_boxplot</span>()</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb21-1" title="1"><span class="kw">ggplot</span>(dat, <span class="kw">aes</span>(<span class="dt">x =</span> <span class="kw">factor</span>(Year), <span class="dt">y =</span> Height)) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb21-2" title="2"><span class="st"> </span><span class="kw">geom_boxplot</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb21-3" title="3"><span class="st"> </span><span class="kw">xlab</span>(<span class="st">"Year"</span>) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb21-4" title="4"><span class="st"> </span><span class="kw">theme</span>(<span class="dt">axis.text.x =</span> <span class="kw">element_text</span>(<span class="dt">angle =</span> <span class="dv">90</span>, <span class="dt">vjust =</span> <span class="fl">0.5</span>))</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="practice-examples" class="section level1">
<h1>Practice examples</h1>
<div id="example-1" class="section level2">
<h2>Example 1</h2>
<p><img src="data:image/png;base64,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" /></p>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" title="1"><span class="co"># create data set</span></a>
<a class="sourceLine" id="cb22-2" title="2">dat <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="dt">file =</span> <span class="st">"./data/average-height-by-year-of-birth.csv"</span>)</a>
<a class="sourceLine" id="cb22-3" title="3">dat <-<span class="st"> </span>dat[,<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span>,<span class="dv">4</span>)] </a>
<a class="sourceLine" id="cb22-4" title="4"><span class="kw">names</span>(dat) <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"Country"</span>, <span class="st">"Year"</span>, <span class="st">"Height"</span>)</a>
<a class="sourceLine" id="cb22-5" title="5">dat <-<span class="st"> </span>dat[dat<span class="op">$</span>Year <span class="op">==</span><span class="st"> </span><span class="kw">max</span>(dat<span class="op">$</span>Year),]</a>
<a class="sourceLine" id="cb22-6" title="6">geo <-<span class="st"> </span><span class="kw">read.csv</span>(<span class="st">"./data/countries.csv"</span>)[,<span class="op">-</span><span class="dv">1</span>]</a>
<a class="sourceLine" id="cb22-7" title="7">df <-<span class="st"> </span><span class="kw">merge</span>(dat, geo)</a>
<a class="sourceLine" id="cb22-8" title="8"></a>
<a class="sourceLine" id="cb22-9" title="9"></a>
<a class="sourceLine" id="cb22-10" title="10"><span class="co"># create plot</span></a>
<a class="sourceLine" id="cb22-11" title="11">world_map <-<span class="st"> </span><span class="kw">readRDS</span>(<span class="st">"./data/world_map.rds"</span>) <span class="co"># preloaded from maps package</span></a>
<a class="sourceLine" id="cb22-12" title="12"><span class="kw">ggplot</span>() <span class="op">+</span></a>
<a class="sourceLine" id="cb22-13" title="13"><span class="st"> </span><span class="kw">geom_polygon</span>(world_map, <span class="dt">mapping =</span> <span class="kw">aes</span>(<span class="dt">x =</span> long, <span class="dt">y =</span> lat, <span class="dt">group=</span>group), <span class="dt">fill=</span><span class="st">"white"</span>, <span class="dt">colour=</span><span class="st">"gray"</span>)</a></code></pre></div>
<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="example-2" class="section level2">
<h2>Example 2</h2>
<p><img src="data:image/png;base64,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" /></p>
<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb23-1" title="1"><span class="co"># create data set</span></a>
<a class="sourceLine" id="cb23-2" title="2">x <-<span class="st"> </span><span class="kw">seq</span>(<span class="op">-</span><span class="dv">2</span><span class="op">*</span>pi, <span class="op">+</span><span class="dv">2</span><span class="op">*</span>pi, <span class="fl">0.01</span>)</a>
<a class="sourceLine" id="cb23-3" title="3">df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">x =</span> x, <span class="dt">y =</span> <span class="kw">sin</span>(x), <span class="dt">fun =</span> <span class="st">"sin(x)"</span>)</a>
<a class="sourceLine" id="cb23-4" title="4">df <-<span class="st"> </span><span class="kw">rbind</span>(df, <span class="kw">data.frame</span>(<span class="dt">x =</span> x, <span class="dt">y =</span> <span class="kw">cos</span>(x), <span class="dt">fun =</span> <span class="st">"cos(x)"</span>))</a>
<a class="sourceLine" id="cb23-5" title="5"></a>
<a class="sourceLine" id="cb23-6" title="6"><span class="co"># create plot</span></a></code></pre></div>
</div>
<div id="example-3" class="section level2">
<h2>Example 3</h2>
<p><img src="data:image/png;base64,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" /></p>
<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" title="1"><span class="co"># create data set</span></a>
<a class="sourceLine" id="cb24-2" title="2"><span class="kw">set.seed</span>(<span class="dv">0</span>)</a>
<a class="sourceLine" id="cb24-3" title="3">x <-<span class="st"> </span><span class="kw">c</span>(<span class="st">"A"</span>, <span class="st">"B"</span>, <span class="st">"C"</span>, <span class="st">"D"</span>, <span class="st">"E"</span>)</a>
<a class="sourceLine" id="cb24-4" title="4">y <-<span class="st"> </span><span class="kw">runif</span>(<span class="dv">10</span>, <span class="dv">0</span>, <span class="dv">100</span>)</a>
<a class="sourceLine" id="cb24-5" title="5">df <-<span class="st"> </span><span class="kw">data.frame</span>(<span class="dt">subject =</span> <span class="kw">rep</span>(x, <span class="dv">2</span>), <span class="dt">value =</span> y, <span class="dt">type =</span> <span class="kw">rep</span>(<span class="kw">c</span>(<span class="st">"Group I"</span>, <span class="st">"Group II"</span>), <span class="dt">each =</span> <span class="dv">5</span>))</a>
<a class="sourceLine" id="cb24-6" title="6"></a>
<a class="sourceLine" id="cb24-7" title="7"><span class="co"># create plot</span></a></code></pre></div>
</div>
</div>
</section>
</div>
</div>
<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
(function () {
var script = document.createElement("script");
script.type = "text/javascript";
script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
document.getElementsByTagName("head")[0].appendChild(script);
})();
</script>
</body>
</html>