{"id":473,"date":"2023-07-29T19:13:06","date_gmt":"2023-07-29T19:13:06","guid":{"rendered":"https:\/\/statorials.org\/th\/%e0%b8%8a%e0%b8%99%e0%b9%81%e0%b8%9c%e0%b8%99%e0%b9%83%e0%b8%99-r-%e0%b9%82%e0%b8%94%e0%b8%a2%e0%b9%83%e0%b8%8a%e0%b9%89-ggplot2\/"},"modified":"2023-07-29T19:13:06","modified_gmt":"2023-07-29T19:13:06","slug":"%e0%b8%8a%e0%b8%99%e0%b9%81%e0%b8%9c%e0%b8%99%e0%b9%83%e0%b8%99-r-%e0%b9%82%e0%b8%94%e0%b8%a2%e0%b9%83%e0%b8%8a%e0%b9%89-ggplot2","status":"publish","type":"post","link":"https:\/\/statorials.org\/th\/%e0%b8%8a%e0%b8%99%e0%b9%81%e0%b8%9c%e0%b8%99%e0%b9%83%e0%b8%99-r-%e0%b9%82%e0%b8%94%e0%b8%a2%e0%b9%83%e0%b8%8a%e0%b9%89-ggplot2\/","title":{"rendered":"\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e1a\u0e23\u0e23\u0e40\u0e17\u0e32\u0e17\u0e38\u0e01\u0e02\u0e4c\u0e43\u0e19 r \u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22\u0e14\u0e32\u0e22\u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49 ggplot2"},"content":{"rendered":"

<\/p>\n

\n

Bump Chart<\/strong> \u0e04\u0e37\u0e2d\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e1b\u0e23\u0e30\u0e40\u0e20\u0e17\u0e2b\u0e19\u0e36\u0e48\u0e07\u0e17\u0e35\u0e48\u0e41\u0e2a\u0e14\u0e07\u0e01\u0e32\u0e23\u0e08\u0e31\u0e14\u0e2d\u0e31\u0e19\u0e14\u0e31\u0e1a\u0e02\u0e2d\u0e07\u0e01\u0e25\u0e38\u0e48\u0e21\u0e15\u0e48\u0e32\u0e07\u0e46 \u0e43\u0e19\u0e0a\u0e48\u0e27\u0e07\u0e40\u0e27\u0e25\u0e32\u0e2b\u0e19\u0e36\u0e48\u0e07 \u0e41\u0e17\u0e19\u0e17\u0e35\u0e48\u0e08\u0e30\u0e40\u0e1b\u0e47\u0e19\u0e04\u0e48\u0e32\u0e2a\u0e31\u0e21\u0e1a\u0e39\u0e23\u0e13\u0e4c\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e19\u0e49\u0e19\u0e25\u0e33\u0e14\u0e31\u0e1a\u0e02\u0e2d\u0e07\u0e01\u0e25\u0e38\u0e48\u0e21\u0e21\u0e32\u0e01\u0e01\u0e27\u0e48\u0e32\u0e08\u0e33\u0e19\u0e27\u0e19\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07<\/span><\/p>\n

\u0e1a\u0e17\u0e0a\u0e48\u0e27\u0e22\u0e2a\u0e2d\u0e19\u0e19\u0e35\u0e49\u0e08\u0e30\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22\u0e27\u0e34\u0e18\u0e35\u0e2a\u0e23\u0e49\u0e32\u0e07 Bump Plot \u0e43\u0e19 R \u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22\u0e14\u0e32\u0e22\u0e42\u0e14\u0e22\u0e43\u0e0a\u0e49 ggplot2<\/span><\/p>\n

\u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07: \u0e01\u0e32\u0e23\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e19\u0e39\u0e19<\/span><\/strong><\/h2>\n

\u0e43\u0e19\u0e01\u0e32\u0e23\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34 Bump \u0e43\u0e19 R \u0e01\u0e48\u0e2d\u0e19\u0e2d\u0e37\u0e48\u0e19\u0e40\u0e23\u0e32\u0e15\u0e49\u0e2d\u0e07\u0e42\u0e2b\u0e25\u0e14\u0e2a\u0e2d\u0e07\u0e41\u0e1e\u0e47\u0e01\u0e40\u0e01\u0e08: dplyr<\/strong> \u0e41\u0e25\u0e30 ggplot2<\/strong> :<\/span><\/p>\n

 library(ggplot2) #for creating bump chart<\/span>\nlibrary(dplyr) #for manipulating data<\/span><\/strong><\/pre>\n
 \u0e15\u0e48\u0e2d\u0e44\u0e1b \u0e40\u0e23\u0e32\u0e08\u0e30\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e1a\u0e32\u0e07\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e43\u0e0a\u0e49\u0e07\u0e32\u0e19:<\/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
 \u0e10\u0e32\u0e19\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07 “\u0e2d\u0e31\u0e19\u0e14\u0e31\u0e1a” \u0e02\u0e2d\u0e07\u0e2b\u0e49\u0e32\u0e17\u0e35\u0e21\u0e17\u0e35\u0e48\u0e41\u0e15\u0e01\u0e15\u0e48\u0e32\u0e07\u0e01\u0e31\u0e19\u0e43\u0e19\u0e0a\u0e48\u0e27\u0e07 10 \u0e27\u0e31\u0e19<\/span><\/p>\n
 \u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49 ggplot2 \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e04\u0e27\u0e32\u0e21\u0e04\u0e37\u0e1a\u0e2b\u0e19\u0e49\u0e32\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e41\u0e2a\u0e14\u0e07\u0e20\u0e32\u0e1e\u0e2d\u0e31\u0e19\u0e14\u0e31\u0e1a\u0e02\u0e2d\u0e07\u0e41\u0e15\u0e48\u0e25\u0e30\u0e17\u0e35\u0e21\u0e43\u0e19\u0e41\u0e15\u0e48\u0e25\u0e30\u0e27\u0e31\u0e19\u0e43\u0e19\u0e0a\u0e48\u0e27\u0e07\u0e40\u0e27\u0e25\u0e32\u0e19\u0e35\u0e49:<\/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
 \u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34\u0e0a\u0e19\u0e19\u0e35\u0e49\u0e41\u0e2a\u0e14\u0e07\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25\u0e43\u0e19\u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a\u0e17\u0e35\u0e48\u0e04\u0e38\u0e13\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23 \u0e41\u0e15\u0e48\u0e01\u0e47\u0e04\u0e48\u0e2d\u0e19\u0e02\u0e49\u0e32\u0e07\u0e19\u0e48\u0e32\u0e40\u0e01\u0e25\u0e35\u0e22\u0e14 \u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e40\u0e1b\u0e25\u0e35\u0e48\u0e22\u0e19\u0e41\u0e1b\u0e25\u0e07\u0e14\u0e49\u0e32\u0e19\u0e2a\u0e38\u0e19\u0e17\u0e23\u0e35\u0e22\u0e20\u0e32\u0e1e\u0e40\u0e25\u0e47\u0e01\u0e19\u0e49\u0e2d\u0e22 \u0e40\u0e23\u0e32\u0e08\u0e36\u0e07\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e17\u0e33\u0e43\u0e2b\u0e49\u0e20\u0e32\u0e1e\u0e27\u0e32\u0e14\u0e19\u0e35\u0e49\u0e14\u0e35\u0e02\u0e36\u0e49\u0e19\u0e44\u0e14\u0e49\u0e21\u0e32\u0e01<\/span><\/p>\n
 \u0e15\u0e01\u0e41\u0e15\u0e48\u0e07\u0e01\u0e23\u0e32\u0e1f\u0e34\u0e01\u0e1a\u0e23\u0e34\u0e40\u0e27\u0e13\u0e01\u0e31\u0e19\u0e01\u0e23\u0e30\u0e41\u0e17\u0e01<\/span><\/strong><\/h2>\n
 \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e1b\u0e23\u0e31\u0e1a\u0e1b\u0e23\u0e38\u0e07\u0e23\u0e39\u0e1b\u0e25\u0e31\u0e01\u0e29\u0e13\u0e4c\u0e02\u0e2d\u0e07\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34 \u0e40\u0e23\u0e32\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e43\u0e0a\u0e49\u0e18\u0e35\u0e21\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49\u0e17\u0e35\u0e48\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e42\u0e14\u0e22 Dominik Koch<\/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
 \u0e40\u0e23\u0e32\u0e08\u0e30\u0e2a\u0e23\u0e49\u0e32\u0e07 Bump Chart \u0e2d\u0e35\u0e01\u0e04\u0e23\u0e31\u0e49\u0e07 \u0e41\u0e15\u0e48\u0e04\u0e23\u0e32\u0e27\u0e19\u0e35\u0e49\u0e40\u0e23\u0e32\u0e08\u0e30\u0e25\u0e1a\u0e04\u0e33\u0e2d\u0e18\u0e34\u0e1a\u0e32\u0e22 \u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1b\u0e49\u0e32\u0e22\u0e01\u0e33\u0e01\u0e31\u0e1a\u0e41\u0e1c\u0e19\u0e20\u0e39\u0e21\u0e34 \u0e41\u0e25\u0e30\u0e43\u0e0a\u0e49\u0e18\u0e35\u0e21\u0e17\u0e35\u0e48\u0e01\u0e33\u0e2b\u0e19\u0e14\u0e44\u0e27\u0e49\u0e43\u0e19\u0e42\u0e04\u0e49\u0e14\u0e14\u0e49\u0e32\u0e19\u0e1a\u0e19:<\/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
 \u0e19\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e19\u0e35\u0e49\u0e40\u0e23\u0e32\u0e22\u0e31\u0e07\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e40\u0e19\u0e49\u0e19\u0e41\u0e16\u0e27\u0e43\u0e14\u0e41\u0e16\u0e27\u0e2b\u0e19\u0e36\u0e48\u0e07\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e07\u0e48\u0e32\u0e22\u0e14\u0e32\u0e22\u0e14\u0e49\u0e27\u0e22\u0e01\u0e32\u0e23\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e2d\u0e32\u0e23\u0e4c\u0e01\u0e34\u0e27\u0e40\u0e21\u0e19\u0e15\u0e4c scale_color_manual()<\/strong> \u0e15\u0e31\u0e27\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e40\u0e0a\u0e48\u0e19 \u0e43\u0e19\u0e42\u0e04\u0e49\u0e14\u0e15\u0e48\u0e2d\u0e44\u0e1b\u0e19\u0e35\u0e49 \u0e40\u0e23\u0e32\u0e17\u0e33\u0e43\u0e2b\u0e49\u0e40\u0e2a\u0e49\u0e19\u0e02\u0e2d\u0e07\u0e17\u0e35\u0e21 A \u0e40\u0e1b\u0e47\u0e19\u0e2a\u0e35\u0e21\u0e48\u0e27\u0e07 \u0e41\u0e25\u0e30\u0e40\u0e2a\u0e49\u0e19\u0e2d\u0e37\u0e48\u0e19\u0e46 \u0e17\u0e31\u0e49\u0e07\u0e2b\u0e21\u0e14\u0e40\u0e1b\u0e47\u0e19\u0e2a\u0e35\u0e40\u0e17\u0e32:<\/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
 \u0e19\u0e2d\u0e01\u0e08\u0e32\u0e01\u0e19\u0e35\u0e49\u0e40\u0e23\u0e32\u0e22\u0e31\u0e07\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e40\u0e19\u0e49\u0e19\u0e2b\u0e25\u0e32\u0e22\u0e1a\u0e23\u0e23\u0e17\u0e31\u0e14\u0e44\u0e14\u0e49\u0e2b\u0e32\u0e01\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23:<\/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":"
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