{"id":2890,"date":"2023-07-20T05:31:17","date_gmt":"2023-07-20T05:31:17","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%b4%d0%b0%d1%82%d0%b0-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80%d0%b0-dplyr\/"},"modified":"2023-07-20T05:31:17","modified_gmt":"2023-07-20T05:31:17","slug":"%d0%b4%d0%b0%d1%82%d0%b0-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80%d0%b0-dplyr","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%b4%d0%b0%d1%82%d0%b0-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80%d0%b0-dplyr\/","title":{"rendered":"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u043e \u0434\u0430\u0442\u0435 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e dplyr"},"content":{"rendered":"

<\/p>\n

\n

\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u043a\u0430\u0434\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u043f\u043e \u0434\u0430\u0442\u0430\u043c \u0432 R \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043f\u0430\u043a\u0435\u0442\u0430 dplyr<\/a> :<\/span><\/p>\n

\u0421\u043f\u043e\u0441\u043e\u0431 1: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u043f\u043e\u0441\u043b\u0435 \u0434\u0430\u0442\u044b<\/strong><\/span><\/p>\n

 df %>% filter(date_column > ' 2022-01-01<\/span> ')\n<\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u043e\u0431 2: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u0434\u043e \u0434\u0430\u0442\u044b<\/strong><\/span><\/p>\n
 df %>% filter(date_column < ' 2022-01-01<\/span> ') \n<\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u043e\u0431 3. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0434\u0430\u0442\u0430\u043c\u0438<\/strong><\/span><\/p>\n
 df %>% filter(between(date_column, as. Date<\/span> (' 2022-01-20<\/span> '), as. Date<\/span> (' 2022-02-20<\/span> ')))\n<\/strong><\/pre>\n
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435 \u0441\u043e \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u0444\u0440\u0435\u0439\u043c\u043e\u043c \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 R:<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (day=seq( as.Date<\/span> (' 2022-01-01<\/span> '), by = ' week<\/span> ', length.out<\/span> = 10<\/span> ),\n                 sales=c(40, 35, 39, 44, 48, 51, 23, 29, 60, 65))\n\n#view data frame\n<\/span>df\n\n          day sales\n1 2022-01-01 40\n2 2022-01-08 35\n3 2022-01-15 39\n4 2022-01-22 44\n5 2022-01-29 48\n6 2022-02-05 51\n7 2022-02-12 23\n8 2022-02-19 29\n9 2022-02-26 60\n10 2022-03-05 65\n<\/strong><\/span><\/pre>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 1. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u043f\u043e\u0441\u043b\u0435 \u0434\u0430\u0442\u044b<\/strong><\/span><\/h3>\n
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0441\u0442\u0440\u043e\u043a \u0438\u0437 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445, \u0438\u043c\u0435\u044e\u0449\u0438\u0445 \u0434\u0430\u0442\u0443 \u043f\u043e\u0441\u043b\u0435 25.01.2022:<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#filter for rows with date after 1\/25\/2022\n<\/span>df %>% filter(day > ' 2022-01-25<\/span> ')\n\n         day sales\n1 2022-01-29 48\n2 2022-02-05 51\n3 2022-02-12 23\n4 2022-02-19 29\n5 2022-02-26 60\n6 2022-03-05 65\n<\/strong><\/span><\/pre>\n
 \u041a\u0430\u0436\u0434\u0430\u044f \u0438\u0437 \u0441\u0442\u0440\u043e\u043a \u0432 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0438\u0440\u0443\u044e\u0449\u0435\u043c \u0444\u0440\u0435\u0439\u043c\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438\u043c\u0435\u0435\u0442 \u0434\u0430\u0442\u0443 \u043f\u043e\u0441\u043b\u0435 25.01.2022.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u0434\u043e \u0434\u0430\u0442\u044b<\/strong><\/span><\/h3>\n
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0441\u0442\u0440\u043e\u043a \u0438\u0437 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445, \u0434\u0430\u0442\u0430 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0440\u0430\u043d\u044c\u0448\u0435 25.01.2022:<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#filter for rows with date before 1\/25\/2022\n<\/span>df %>% filter(day < ' 2022-01-25<\/span> ')\n\n         day sales\n1 2022-01-01 40\n2 2022-01-08 35\n3 2022-01-15 39\n4 2022-01-22 44\n<\/strong><\/span><\/pre>\n
 \u041a\u0430\u0436\u0434\u0430\u044f \u0438\u0437 \u0441\u0442\u0440\u043e\u043a \u0432 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0438\u0440\u0443\u044e\u0449\u0435\u043c \u0444\u0440\u0435\u0439\u043c\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438\u043c\u0435\u0435\u0442 \u0434\u0430\u0442\u0443 \u0434\u043e 25.01.2022.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 3. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0434\u0430\u0442\u0430\u043c\u0438<\/strong><\/span><\/h3>\n
 \u041c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u0434\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0441\u0442\u0440\u043e\u043a \u0438\u0437 \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445, \u0434\u0430\u0442\u0430 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u043c\u0435\u0436\u0434\u0443 20.01.2022 \u0438 20.02.2022:<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#filter for rows with dates between 1\/20\/2022 and 2\/20\/2022\n<\/span>df %>% filter(between(date_column, as. Date<\/span> (' 2022-01-20<\/span> '), as. Date<\/span> (' 2022-02-20<\/span> '))) \n\n         day sales\n1 2022-01-22 44\n2 2022-01-29 48\n3 2022-02-05 51\n4 2022-02-12 23\n5 2022-02-19 29\n<\/strong><\/span><\/pre>\n
 \u0412 \u043a\u0430\u0436\u0434\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0435 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0438\u0440\u0443\u044e\u0449\u0435\u0433\u043e \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0443\u043a\u0430\u0437\u0430\u043d\u0430 \u0434\u0430\u0442\u0430 \u043c\u0435\u0436\u0434\u0443 20.01.2022 \u0438 20.02.2022.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435 \u2116 1.<\/strong> \u0415\u0441\u043b\u0438 \u043a\u0430\u043a\u043e\u0439-\u043b\u0438\u0431\u043e \u0438\u0437 \u0432\u044b\u0448\u0435\u043f\u0435\u0440\u0435\u0447\u0438\u0441\u043b\u0435\u043d\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u043d\u0435 \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442, \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e, \u0432\u0430\u043c \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u0442\u044c \u0434\u0430\u0442\u044b, \u0441 \u043a\u043e\u0442\u043e\u0440\u044b\u043c\u0438 \u0432\u044b \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442\u0435, \u0432 \u0443\u0437\u043d\u0430\u0432\u0430\u0435\u043c\u044b\u0439 \u0444\u043e\u0440\u043c\u0430\u0442 \u0434\u0430\u0442\u044b, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0444\u0443\u043d\u043a\u0446\u0438\u044e as.Date(<\/strong> )<\/strong> .<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435 \u21162<\/strong> : \u041f\u043e\u043b\u043d\u0443\u044e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e \u043f\u043e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0444\u0438\u043b\u044c\u0442\u0440\u0430<\/strong> \u0432 dplyr \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u0437\u0434\u0435\u0441\u044c<\/a> .<\/span><\/p>\n
 \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0432 dplyr:<\/span><\/p>\n
 \u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443, \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e dplyr<\/a>
 \u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u043c \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e dplyr
 \u041a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0438\u043b\u044c\u0442\u0440 \u00ab\u043d\u0435 \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u043e\u00bb \u0432 dplyr<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u043a\u0430\u0434\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u043f\u043e \u0434\u0430\u0442\u0430\u043c \u0432 R \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043f\u0430\u043a\u0435\u0442\u0430 dplyr : \u0421\u043f\u043e\u0441\u043e\u0431 1: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u043f\u043e\u0441\u043b\u0435 \u0434\u0430\u0442\u044b df %>% filter(date_column > ‘ 2022-01-01 ‘) \u0421\u043f\u043e\u0441\u043e\u0431 2: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u0434\u043e \u0434\u0430\u0442\u044b df %>% filter(date_column < ‘ 2022-01-01 ‘) \u0421\u043f\u043e\u0441\u043e\u0431 3. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0442\u0440\u043e\u043a \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0434\u0430\u0442\u0430\u043c\u0438 df %>% filter(between(date_column, as. Date […]<\/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-2890","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u043e \u0434\u0430\u0442\u0435 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e dplyr - Statorials<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 \u0444\u0440\u0435\u0439\u043c\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u043f\u043e \u0434\u0430\u0442\u0435 \u0441 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