{"id":470,"date":"2023-07-29T19:13:06","date_gmt":"2023-07-29T19:13:06","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d0%b3%d1%80%d0%b0%d1%84%d1%96%d0%ba-%d1%80%d0%b5%d0%bb%d1%8c%d1%94%d1%84%d1%83-%d0%b2-r-%d0%b7%d0%b0-%d0%b4%d0%be%d0%bf%d0%be%d0%bc%d0%be%d0%b3%d0%be%d1%8e-ggplot2\/"},"modified":"2023-07-29T19:13:06","modified_gmt":"2023-07-29T19:13:06","slug":"%d0%b3%d1%80%d0%b0%d1%84%d1%96%d0%ba-%d1%80%d0%b5%d0%bb%d1%8c%d1%94%d1%84%d1%83-%d0%b2-r-%d0%b7%d0%b0-%d0%b4%d0%be%d0%bf%d0%be%d0%bc%d0%be%d0%b3%d0%be%d1%8e-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d0%b3%d1%80%d0%b0%d1%84%d1%96%d0%ba-%d1%80%d0%b5%d0%bb%d1%8c%d1%94%d1%84%d1%83-%d0%b2-r-%d0%b7%d0%b0-%d0%b4%d0%be%d0%bf%d0%be%d0%bc%d0%be%d0%b3%d0%be%d1%8e-ggplot2\/","title":{"rendered":"\u042f\u043a \u043b\u0435\u0433\u043a\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0433\u0440\u0430\u0444\u0456\u043a \u0440\u0435\u043b\u044c\u0454\u0444\u0443 \u0432 r \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e ggplot2"},"content":{"rendered":"

<\/p>\n

\n

\u0420\u0435\u043b\u044c\u0454\u0444\u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430<\/strong> \u2013 \u0446\u0435 \u0442\u0438\u043f \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438, \u044f\u043a\u0438\u0439 \u043f\u043e\u043a\u0430\u0437\u0443\u0454 \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u0440\u0456\u0437\u043d\u0438\u0445 \u0433\u0440\u0443\u043f \u0443 \u0447\u0430\u0441\u0456 \u0437\u0430\u043c\u0456\u0441\u0442\u044c \u0430\u0431\u0441\u043e\u043b\u044e\u0442\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c, \u0449\u043e\u0431 \u043f\u0456\u0434\u043a\u0440\u0435\u0441\u043b\u0438\u0442\u0438 \u043f\u043e\u0440\u044f\u0434\u043e\u043a \u0433\u0440\u0443\u043f, \u0430 \u043d\u0435 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0437\u043c\u0456\u043d.<\/span><\/p>\n

\u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043b\u0435\u0433\u043a\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0440\u0435\u043b\u044c\u0454\u0444\u0443 \u0432 R \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e ggplot2.<\/span><\/p>\n

\u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0440\u0435\u043b\u044c\u0454\u0444\u043d\u043e\u0457 \u0433\u0440\u0430\u0444\u0456\u043a\u0438<\/span><\/strong><\/h2>\n

\u0429\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0440\u0435\u043b\u044c\u0454\u0444\u043d\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0432 R, \u043d\u0430\u043c \u0441\u043f\u043e\u0447\u0430\u0442\u043a\u0443 \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0437\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0438\u0442\u0438 \u0434\u0432\u0430 \u043f\u0430\u043a\u0435\u0442\u0438: dplyr<\/strong> \u0456 ggplot2<\/strong> :<\/span><\/p>\n

 library(ggplot2) #for creating bump chart<\/span>\nlibrary(dplyr) #for manipulating data<\/span><\/strong><\/pre>\n
 \u0414\u0430\u043b\u0456 \u043c\u0438 \u0441\u0442\u0432\u043e\u0440\u0438\u043c\u043e \u0434\u0435\u044f\u043a\u0456 \u0434\u0430\u043d\u0456 \u0434\u043b\u044f \u0440\u043e\u0431\u043e\u0442\u0438:<\/span><\/p>\n
 #set the seed to make this example reproducible<\/span>\nset.seed(10)\n\ndata <- data.frame(team = rep(LETTERS[1:5], each = 10),\n                   random_num = runif(50),\n                   day = rep(1:10, 5))\n\ndata <- data %>%\n  group_by(day) %>%\n  arrange(day, desc(random_num), team) %>% \n  mutate(rank = row_number()) %>%\n  A group()\n\nhead(data)\n\n# team random_num day rank          \n#1 C 0.865 1 1\n#2 B 0.652 1 2\n#3 D 0.536 1 3\n#4 A 0.507 1 4\n#5 E 0.275 1 5\n#6 C 0.615 2 1<\/strong><\/pre>\n
 \u0426\u044f \u0431\u0430\u0437\u0430 \u0434\u0430\u043d\u0438\u0445 \u043f\u0440\u043e\u0441\u0442\u043e \u043f\u043e\u043a\u0430\u0437\u0443\u0454 \u00ab\u0440\u0435\u0439\u0442\u0438\u043d\u0433\u0438\u00bb \u043f\u2019\u044f\u0442\u0438 \u0440\u0456\u0437\u043d\u0438\u0445 \u043a\u043e\u043c\u0430\u043d\u0434 \u0437\u0430 10-\u0434\u0435\u043d\u043d\u0438\u0439 \u043f\u0435\u0440\u0456\u043e\u0434.<\/span><\/p>\n
 \u041c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 ggplot2 \u0434\u043b\u044f \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u043f\u0440\u043e\u0433\u0440\u0435\u0441\u0443, \u0449\u043e\u0431 \u0432\u0456\u0437\u0443\u0430\u043b\u0456\u0437\u0443\u0432\u0430\u0442\u0438 \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u043a\u043e\u0436\u043d\u043e\u0457 \u043a\u043e\u043c\u0430\u043d\u0434\u0438 \u043f\u0440\u043e\u0442\u044f\u0433\u043e\u043c \u043a\u043e\u0436\u043d\u043e\u0433\u043e \u0434\u043d\u044f \u043f\u0440\u043e\u0442\u044f\u0433\u043e\u043c \u0446\u044c\u043e\u0433\u043e \u043f\u0435\u0440\u0456\u043e\u0434\u0443:<\/span><\/p>\n
 ggplot(data, aes(x = day, y = rank, group = team)) +\n  geom_line(aes(color = team, alpha = 1), size = 2) +\n  geom_point(aes(color = team, alpha = 1), size = 4) +\n  scale_y_reverse(breaks = 1:nrow(data))<\/strong><\/pre>\n
 \u0426\u044f \u0440\u0435\u043b\u044c\u0454\u0444\u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430 \u0432\u0456\u0434\u043e\u0431\u0440\u0430\u0436\u0430\u0454 \u0434\u0430\u043d\u0456 \u0443 \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e\u043c\u0443 \u0444\u043e\u0440\u043c\u0430\u0442\u0456, \u0430\u043b\u0435 \u0432\u043e\u043d\u0430 \u0434\u043e\u0441\u0438\u0442\u044c \u043d\u0435\u0433\u0430\u0440\u043d\u0430. \u0417\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u043a\u0456\u043b\u044c\u043a\u043e\u0445 \u0435\u0441\u0442\u0435\u0442\u0438\u0447\u043d\u0438\u0445 \u0437\u043c\u0456\u043d \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0437\u0440\u043e\u0431\u0438\u0442\u0438 \u0446\u044e \u043a\u0430\u0440\u0442\u0438\u043d\u0443 \u043d\u0430\u0431\u0430\u0433\u0430\u0442\u043e \u043a\u0440\u0430\u0449\u043e\u044e.<\/span><\/p>\n
 \u0421\u0442\u0438\u043b\u0456\u0437\u0443\u0439\u0442\u0435 \u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u043d\u044f \u0440\u0435\u043b\u044c\u0454\u0444\u0443<\/span><\/strong><\/h2>\n
 \u0429\u043e\u0431 \u043f\u043e\u043a\u0440\u0430\u0449\u0438\u0442\u0438 \u0432\u0438\u0433\u043b\u044f\u0434 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438, \u043c\u0438 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0442\u0438 \u0442\u0430\u043a\u0443 \u0442\u0435\u043c\u0443, \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u0443 \u0414\u043e\u043c\u0456\u043d\u0456\u043a\u043e\u043c \u041a\u043e\u0445\u043e\u043c<\/a> :<\/span><\/p>\n
 my_theme <- function() {\n\n  # Colors\n  color.background = \"white\"\n  color.text = \"#22211d\"\n\n  # Begin construction of chart\n  theme_bw(base_size=15) +\n\n    # Format background colors\n    theme(panel.background = element_rect(fill=color.background,\n                                          color=color.background)) +\n    theme(plot.background = element_rect(fill=color.background,\n                                          color=color.background)) +\n    theme(panel.border = element_rect(color=color.background)) +\n    theme(strip.background = element_rect(fill=color.background,\n                                          color=color.background)) +\n\n    # Format the grid\n    theme(panel.grid.major.y = element_blank()) +\n    theme(panel.grid.minor.y = element_blank()) +\n    theme(axis.ticks = element_blank()) +\n\n    # Format the legend\n    theme(legend.position = \"none\") +\n\n    # Format title and axis labels\n    theme(plot.title = element_text(color=color.text, size=20, face = \"bold\")) +\n    theme(axis.title.x = element_text(size=14, color=\"black\", face = \"bold\")) +\n    theme(axis.title.y = element_text(size=14, color=\"black\", face = \"bold\",\n                                          vjust=1.25)) +\n    theme(axis.text.x = element_text(size=10, vjust=0.5, hjust=0.5,\n                                          color = color.text)) +\n    theme(axis.text.y = element_text(size=10, color = color.text)) +\n    theme(strip.text = element_text(face = \"bold\")) +\n\n    # Plot margins\n    theme(plot.margin = unit(c(0.35, 0.2, 0.3, 0.35), \"cm\"))\n}<\/strong><\/pre>\n
 \u041c\u0438 \u0437\u043d\u043e\u0432\u0443 \u0441\u0442\u0432\u043e\u0440\u0438\u043c\u043e \u0440\u0435\u043b\u044c\u0454\u0444\u043d\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443, \u0430\u043b\u0435 \u0446\u044c\u043e\u0433\u043e \u0440\u0430\u0437\u0443 \u043c\u0438 \u0432\u0438\u0434\u0430\u043b\u0438\u043c\u043e \u043b\u0435\u0433\u0435\u043d\u0434\u0443, \u0434\u043e\u0434\u0430\u043c\u043e \u0434\u0435\u044f\u043a\u0456 \u043c\u0456\u0442\u043a\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438 \u0442\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u0454\u043c\u043e \u0442\u0435\u043c\u0443, \u0432\u0438\u0437\u043d\u0430\u0447\u0435\u043d\u0443 \u0432 \u043a\u043e\u0434\u0456 \u0432\u0438\u0449\u0435:<\/span><\/p>\n
 ggplot(data, aes(x = as.factor(day), y = rank, group = team)) +\n  geom_line(aes(color = team, alpha = 1), size = 2) +\n  geom_point(aes(color = team, alpha = 1), size = 4) +\n  geom_point(color = \"#FFFFFF\", size = 1) +\n  scale_y_reverse(breaks = 1:nrow(data)) + \n  scale_x_discrete(breaks = 1:10) +\n  theme(legend.position = 'none') +\n  geom_text(data = data %>% filter(day == \"1\"),\n            aes(label = team, x = 0.5), hjust = .5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  geom_text(data = data %>% filter(day == \"10\"),\n            aes(label = team, x = 10.5), hjust = 0.5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  labs(x = 'Day', y = 'Rank', title = 'Team Ranking by Day') +\n  my_theme()<\/strong><\/pre>\n
 \u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u043b\u0435\u0433\u043a\u043e \u0432\u0438\u0434\u0456\u043b\u0438\u0442\u0438 \u043e\u0434\u0438\u043d \u0456\u0437 \u0440\u044f\u0434\u043a\u0456\u0432, \u0434\u043e\u0434\u0430\u0432\u0448\u0438 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 scale_color_manual()<\/strong> . \u041d\u0430\u043f\u0440\u0438\u043a\u043b\u0430\u0434, \u0443 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u043e\u043c\u0443 \u043a\u043e\u0434\u0456 \u043c\u0438 \u0440\u043e\u0431\u0438\u043c\u043e \u043b\u0456\u043d\u0456\u044e \u043a\u043e\u043c\u0430\u043d\u0434\u0438 A \u0444\u0456\u043e\u043b\u0435\u0442\u043e\u0432\u043e\u044e, \u0430 \u0432\u0441\u0456 \u0456\u043d\u0448\u0456 \u043b\u0456\u043d\u0456\u0457 \u0441\u0456\u0440\u0438\u043c\u0438:<\/span><\/p>\n
 ggplot(data, aes(x = as.factor(day), y = rank, group = team)) +\n  geom_line(aes(color = team, alpha = 1), size = 2) +\n  geom_point(aes(color = team, alpha = 1), size = 4) +\n  geom_point(color = \"#FFFFFF\", size = 1) +\n  scale_y_reverse(breaks = 1:nrow(data)) + \n  scale_x_discrete(breaks = 1:10) +\n  theme(legend.position = 'none') +\n  geom_text(data = data %>% filter(day == \"1\"),\n            aes(label = team, x = 0.5), hjust = .5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  geom_text(data = data %>% filter(day == \"10\"),\n            aes(label = team, x = 10.5), hjust = 0.5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  labs(x = 'Day', y = 'Rank', title = 'Team Ranking by Day') +\n  my_theme() +\n  scale_color_manual(values = c('purple', 'grey', 'grey', 'grey', 'grey'))<\/span><\/strong><\/pre>\n
 \u041c\u0438 \u0442\u0430\u043a\u043e\u0436 \u043c\u043e\u0436\u0435\u043c\u043e \u0432\u0438\u0434\u0456\u043b\u0438\u0442\u0438 \u043a\u0456\u043b\u044c\u043a\u0430 \u0440\u044f\u0434\u043a\u0456\u0432, \u044f\u043a\u0449\u043e \u0445\u043e\u0447\u0435\u043c\u043e:<\/span><\/p>\n
 ggplot(data, aes(x = as.factor(day), y = rank, group = team)) +\n  geom_line(aes(color = team, alpha = 1), size = 2) +\n  geom_point(aes(color = team, alpha = 1), size = 4) +\n  geom_point(color = \"#FFFFFF\", size = 1) +\n  scale_y_reverse(breaks = 1:nrow(data)) + \n  scale_x_discrete(breaks = 1:10) +\n  theme(legend.position = 'none') +\n  geom_text(data = data %>% filter(day == \"1\"),\n            aes(label = team, x = 0.5), hjust = .5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  geom_text(data = data %>% filter(day == \"10\"),\n            aes(label = team, x = 10.5), hjust = 0.5,\n            fontface = \"bold\", color = \"#888888\", size = 4) +\n  labs(x = 'Day', y = 'Rank', title = 'Team Ranking by Day') +\n  my_theme() +\n  scale_color_manual(values = c('purple', 'steelblue', 'grey', 'grey', 'grey'))<\/span><\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"
\u0420\u0435\u043b\u044c\u0454\u0444\u043d\u0430 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0430 \u2013 \u0446\u0435 \u0442\u0438\u043f \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0438, \u044f\u043a\u0438\u0439 \u043f\u043e\u043a\u0430\u0437\u0443\u0454 \u0440\u0435\u0439\u0442\u0438\u043d\u0433 \u0440\u0456\u0437\u043d\u0438\u0445 \u0433\u0440\u0443\u043f \u0443 \u0447\u0430\u0441\u0456 \u0437\u0430\u043c\u0456\u0441\u0442\u044c \u0430\u0431\u0441\u043e\u043b\u044e\u0442\u043d\u0438\u0445 \u0437\u043d\u0430\u0447\u0435\u043d\u044c, \u0449\u043e\u0431 \u043f\u0456\u0434\u043a\u0440\u0435\u0441\u043b\u0438\u0442\u0438 \u043f\u043e\u0440\u044f\u0434\u043e\u043a \u0433\u0440\u0443\u043f, \u0430 \u043d\u0435 \u043a\u0456\u043b\u044c\u043a\u0456\u0441\u0442\u044c \u0437\u043c\u0456\u043d. \u0426\u0435\u0439 \u043f\u0456\u0434\u0440\u0443\u0447\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u043b\u0435\u0433\u043a\u043e \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0440\u0435\u043b\u044c\u0454\u0444\u0443 \u0432 R \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e ggplot2. \u041f\u0440\u0438\u043a\u043b\u0430\u0434: \u0441\u0442\u0432\u043e\u0440\u0435\u043d\u043d\u044f \u0440\u0435\u043b\u044c\u0454\u0444\u043d\u043e\u0457 \u0433\u0440\u0430\u0444\u0456\u043a\u0438 \u0429\u043e\u0431 \u0441\u0442\u0432\u043e\u0440\u0438\u0442\u0438 \u0440\u0435\u043b\u044c\u0454\u0444\u043d\u0443 \u0434\u0456\u0430\u0433\u0440\u0430\u043c\u0443 \u0432 R, \u043d\u0430\u043c \u0441\u043f\u043e\u0447\u0430\u0442\u043a\u0443 \u043f\u043e\u0442\u0440\u0456\u0431\u043d\u043e \u0437\u0430\u0432\u0430\u043d\u0442\u0430\u0436\u0438\u0442\u0438 \u0434\u0432\u0430 \u043f\u0430\u043a\u0435\u0442\u0438: dplyr \u0456 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