У меня есть один набор данных с еженедельными продажами для разных напитков. Набор данных содержит значения с 1 недели 2019 года до 18 недели 2020 года. Вы можете увидеть ниже код для данных
ARTEFICIAL_DATA<-data.frame(structure(list(year_week = c("2019 01", "2019 02", "2019 03",
"2019 04", "2019 05", "2019 06", "2019 07", "2019 08", "2019 09",
"2019 10", "2019 11", "2019 12", "2019 13", "2019 14", "2019 15",
"2019 16", "2019 17", "2019 18", "2019 19", "2019 20", "2019 21",
"2019 22", "2019 23", "2019 24", "2019 25", "2019 26", "2019 27",
"2019 28", "2019 29", "2019 30", "2019 31", "2019 32", "2019 33",
"2019 34", "2019 35", "2019 36", "2019 37", "2019 38", "2019 39",
"2019 40", "2019 41", "2019 42", "2019 43", "2019 44", "2019 45",
"2019 46", "2019 47", "2019 48", "2019 49", "2019 50", "2019 51",
"2019 52", "2020 01", "2020 02", "2020 03", "2020 04", "2020 05",
"2020 06", "2020 07", "2020 08", "2020 09", "2020 10", "2020 11",
"2020 12", "2020 13", "2020 14", "2020 15", "2020 16", "2020 17",
"2020 18"), Year = c(2019, 2019, 2019, 2019, 2019, 2019, 2019,
2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019,
2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019,
2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019,
2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019,
2019, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020,
2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020), Pepsi = c(309,
201, 369, 211, 262, 306, 477, 269, 175, 315, 373, 309, 280, 450,
331, 394, 295, 266, 349, 434, 247, 302, 423, 347, 384, 327, 369,
373, 380, 305, 432, 371, 437, 242, 270, 444, 432, 331, 309, 422,
300, 495, 285, 408, 336, 484, 324, 327, 359, 441, 392, 373, 168,
137, 404, 325, 279, 320, 461, 311, 336, 286, 333, 299, 209, 199,
197, 344, 170, 176), Coke = c(139, 119, 189, 160, 184, 174, 246,
203, 117, 193, 233, 226, 219, 228, 219, 238, 220, 136, 198, 229,
172, 225, 191, 183, 224, 223, 205, 232, 228, 215, 193, 219, 205,
178, 172, 219, 206, 245, 234, 218, 180, 269, 220, 224, 211, 253,
231, 239, 225, 247, 270, 265, 68, 87, 211, 193, 200, 188, 247,
216, 226, 203, 231, 183, 143, 147, 143, 162, 125, 122), Fanta = c(24,
18, 22, 20, 22, 20, 25, 23, 13, 22, 25, 24, 23, 31, 22, 23, 20,
23, 19, 20, 19, 22, 22, 21, 26, 21, 27, 24, 22, 23, 21, 25, 19,
21, 20, 22, 23, 23, 21, 32, 21, 28, 22, 23, 24, 24, 23, 26, 24,
23, 28, 29, 7, 18, 23, 27, 25, 24, 27, 24, 29, 24, 24, 20, 17,
21, 19, 13, 12, 16), Beer = c(145, 64, 158, 31, 56, 112, 206,
42, 45, 100, 114, 59, 38, 191, 89, 133, 56, 107, 131, 184, 56,
55, 211, 142, 134, 84, 137, 116, 130, 66, 218, 127, 213, 43,
78, 202, 203, 62, 54, 171, 99, 198, 44, 161, 100, 206, 70, 61,
110, 172, 94, 79, 93, 32, 171, 105, 54, 109, 187, 71, 81, 58,
78, 96, 49, 31, 34, 168, 33, 39), Juice = c(28, 40, 105, 26,
41, 31, 96, 37, 20, 46, 78, 53, 29, 57, 46, 111, 49, 18, 58,
112, 37, 43, 38, 93, 48, 69, 43, 57, 114, 43, 48, 47, 141, 35,
47, 69, 158, 43, 49, 29, 34, 139, 40, 42, 38, 132, 38, 42, 41,
103, 42, 48, 30, 22, 136, 39, 37, 39, 92, 40, 40, 37, 67, 73,
31, 23, 27, 102, 31, 25), Lemonade = c(111, 22, 31, 0, 12, 77,
95, 0, 22, 50, 22, 2, 3, 129, 39, 0, 2, 84, 70, 42, 16, 6, 168,
31, 76, 10, 88, 37, 3, 17, 166, 73, 37, 5, 27, 128, 20, 5, 0,
136, 61, 32, 0, 113, 53, 52, 28, 14, 62, 54, 39, 22, 63, 8, 14,
63, 16, 69, 85, 26, 40, 19, 2, 17, 16, 8, 5, 50, 1, 13), Radler = c(2,
1, 21, 2, 1, 2, 11, 2, 1, 2, 12, 2, 3, 3, 2, 19, 2, 4, 2, 28,
2, 3, 3, 16, 8, 3, 3, 19, 11, 3, 2, 4, 34, 1, 3, 3, 22, 11, 3,
4, 1, 24, 1, 3, 7, 20, 1, 3, 3, 12, 8, 2, 1, 2, 21, 3, 2, 1,
10, 5, 1, 2, 10, 5, 2, 1, 2, 15, 1, 0)), row.names = c(NA, -70L
), class = c("tbl_df", "tbl", "data.frame")))
Итак, как чтобы преобразовать эти данные, например, pi c ниже
Я пытаюсь использовать функцию плавления из пакета reshape2, но у меня есть таблица, которая не подходит.
ARTEFICIAL_DATA1<-melt(ARTEFICIAL_DATA,id.variables = 'year_week')
Так может ли кто-нибудь помочь, как изменить форму данных (растопить, развернуть что угодно), например, таблицу пи c?