{"id":475,"date":"2023-07-29T19:13:06","date_gmt":"2023-07-29T19:13:06","guid":{"rendered":"https:\/\/statorials.org\/tr\/ggplot2-kullanarak-rdeki-carpma-grafigi\/"},"modified":"2023-07-29T19:13:06","modified_gmt":"2023-07-29T19:13:06","slug":"ggplot2-kullanarak-rdeki-carpma-grafigi","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/ggplot2-kullanarak-rdeki-carpma-grafigi\/","title":{"rendered":"Ggplot2 kullanarak r'de kolayca bir kabartma grafi\u011fi nas\u0131l olu\u015fturulur?"},"content":{"rendered":"

<\/p>\n

\n

\u00c7arpma grafi\u011fi,<\/strong> de\u011fi\u015fim miktar\u0131ndan ziyade gruplar\u0131n s\u0131ras\u0131n\u0131 vurgulamak i\u00e7in mutlak de\u011ferler yerine farkl\u0131 gruplar\u0131n zaman i\u00e7indeki s\u0131ralamas\u0131n\u0131 g\u00f6steren bir grafik t\u00fcr\u00fcd\u00fcr.<\/span><\/p>\n

Bu e\u011fitimde, ggplot2 kullan\u0131larak R’de nas\u0131l kolayca bir \u00e7arpma grafi\u011fi olu\u015fturulaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r.<\/span><\/p>\n

\u00d6rnek: kabartma grafi\u011fi olu\u015fturma<\/span><\/strong><\/h2>\n

R’de bir \u00e7arpma grafi\u011fi olu\u015fturmak i\u00e7in \u00f6nce iki paket y\u00fcklememiz gerekir: dplyr<\/strong> ve ggplot2<\/strong> :<\/span><\/p>\n

 library(ggplot2) #for creating bump chart<\/span>\nlibrary(dplyr) #for manipulating data<\/span><\/strong><\/pre>\n
 Daha sonra \u00fczerinde \u00e7al\u0131\u015faca\u011f\u0131m\u0131z baz\u0131 veriler olu\u015fturaca\u011f\u0131z:<\/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
 Bu veritaban\u0131, be\u015f farkl\u0131 tak\u0131m\u0131n 10 g\u00fcnl\u00fck bir s\u00fcre i\u00e7indeki “s\u0131ralamalar\u0131n\u0131” g\u00f6sterir.<\/span><\/p>\n
 Bu d\u00f6nemde her tak\u0131m\u0131n her g\u00fcn i\u00e7indeki s\u0131ralamas\u0131n\u0131 g\u00f6rselle\u015ftirmek amac\u0131yla bir ilerleme grafi\u011fi olu\u015fturmak i\u00e7in ggplot2’yi kullanabiliriz:<\/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
 Bu \u00e7arpma grafi\u011fi, verileri istedi\u011finiz formatta g\u00f6r\u00fcnt\u00fcler, ancak olduk\u00e7a \u00e7irkindir. Birka\u00e7 estetik de\u011fi\u015fiklikle bu tabloyu \u00e7ok daha g\u00fczel hale getirebiliriz.<\/span><\/p>\n
 \u00c7arpma grafi\u011fini stilize edin<\/span><\/strong><\/h2>\n
 Grafi\u011fin g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc iyile\u015ftirmek i\u00e7in Dominik Koch<\/a> taraf\u0131ndan olu\u015fturulan a\u015fa\u011f\u0131daki temay\u0131 kullanabiliriz:<\/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
 \u00c7arpma grafi\u011fini yeniden olu\u015fturaca\u011f\u0131z ancak bu sefer g\u00f6stergeyi kald\u0131raca\u011f\u0131z, baz\u0131 grafik etiketleri ekleyece\u011fiz ve yukar\u0131daki kodda tan\u0131mlanan temay\u0131 kullanaca\u011f\u0131z:<\/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
 Scale_color_manual()<\/strong> arg\u00fcman\u0131n\u0131 ekleyerek sat\u0131rlardan birini kolayca vurgulayabiliriz. \u00d6rne\u011fin a\u015fa\u011f\u0131daki kodda A Tak\u0131m\u0131n\u0131n \u00e7izgisini mor, di\u011fer t\u00fcm \u00e7izgilerini ise gri yap\u0131yoruz:<\/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
 \u0130stersek birden fazla sat\u0131r\u0131 da vurgulayabiliriz:<\/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":"
\u00c7arpma grafi\u011fi, de\u011fi\u015fim miktar\u0131ndan ziyade gruplar\u0131n s\u0131ras\u0131n\u0131 vurgulamak i\u00e7in mutlak de\u011ferler yerine farkl\u0131 gruplar\u0131n zaman i\u00e7indeki s\u0131ralamas\u0131n\u0131 g\u00f6steren bir grafik t\u00fcr\u00fcd\u00fcr. Bu e\u011fitimde, ggplot2 kullan\u0131larak R’de nas\u0131l kolayca bir \u00e7arpma grafi\u011fi olu\u015fturulaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r. \u00d6rnek: kabartma grafi\u011fi olu\u015fturma R’de bir \u00e7arpma grafi\u011fi olu\u015fturmak i\u00e7in \u00f6nce iki paket y\u00fcklememiz gerekir: dplyr ve ggplot2 : library(ggplot2) #for creating […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-475","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nGgplot2 Kullanarak R'de Kolayca \u00c7arpma Grafi\u011fi Nas\u0131l Olu\u015fturulur - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, ggplot2 kullan\u0131larak R'de nas\u0131l kolayca \u00e7arpma grafi\u011fi olu\u015fturulaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/tr\/ggplot2-kullanarak-rdeki-carpma-grafigi\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Ggplot2 Kullanarak R'de Kolayca \u00c7arpma Grafi\u011fi Nas\u0131l Olu\u015fturulur - 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