資料子集的ggplot2線圖

我有一些資料集，我們可以plot_data_lines這樣稱呼它：

|Year  |City       |value  |
-----------------------------
|1981  |Bogota     |4      |
|1981  |Cali       |3      |
|1981  |Lima       |2      |
|1981  |Sao Paulo  |1      |
|1981  |Santiago   |6      |
|1982  |Bogota     |4      |
|1982  |Cali       |2      |
|1982  |Lima       |1      |
|1982  |Sao Paulo  |0      |
|1982  |Santiago   |4      |
|1983  |Bogota     |3      |
|1983  |Cali       |4      |
|1983  |Lima       |1      |
|1983  |Sao Paulo  |6      |
|1983  |Santiago   |6      |
|...   |...        |...    |
|2020  |Bogota     |5      |
|2020  |Cali       |7      |
|2020  |Lima       |9      |
|2020  |Sao Paulo  |1      |
|2020  |Santiago   |3      |

它已經是長格式，當我詢問資料集的類時，這就是我得到的：

> class(plot_data_lines)
[1] "tbl_df"     "tbl"        "data.frame"

我需要繪制城市子集的線圖，例如：卡利、波哥大和利馬，但不一定是這些，也不一定只有三個，這就是我嘗試過的：

plot_data_lines %>%
  filter(City %in% c("Lima", "Bogota","Cali)) %>%
  ggplot(plot_data_bar, aes(x = "Year", y = value, color = City))  
  geom_line()

但我得到這個錯誤：

Error in `ggplot()`:
! Mapping should be created with `aes()` or `aes_()`.
Run `rlang::last_error()` to see where the error occurred.

什么地方出了錯？你們能幫幫我嗎？

編輯：這是我從艾倫卡梅羅的推薦中得到的情節：

這次出了什么問題？

這是我的資料樣本，以便重現：

structure(list(Year = c("1981", "1981", "1981", "1981", "1981", 
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981", 
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981", 
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981", 
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981", 
"1981", "1981", "1981", "1981", "1981", "1981", "1981", "1981", 
"1981", "1982", "1982", "1982", "1982", "1982", "1982", "1982", 
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982", 
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982", 
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982", 
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1982", 
"1982", "1982", "1982", "1982", "1982", "1982", "1982", "1983", 
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983", 
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983", 
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983", 
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983", 
"1983", "1983", "1983", "1983", "1983", "1983", "1983", "1983", 
"1983", "1983", "1983", "1983", "1983", "1984", "1984", "1984", 
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984", 
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984", 
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984", 
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984", 
"1984", "1984", "1984", "1984", "1984", "1984", "1984", "1984", 
"1984", "1984", "1984"), City = c("Sao Paulo", "Mexico City", 
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires", 
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito", 
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba", 
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara", 
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo", 
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa", 
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua", 
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo", 
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City", 
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires", 
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito", 
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba", 
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara", 
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo", 
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa", 
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua", 
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo", 
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City", 
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires", 
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito", 
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba", 
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara", 
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo", 
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa", 
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua", 
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo", 
"Guatemala City", "Port-au-Prince", "Rosario", "Sao Paulo", "Mexico City", 
"Lima", "Bogota", "Rio de Janeiro", "Santiago", "Caracas", "Buenos Aires", 
"San Salvador", "Brasilia", "Fortaleza", "Guayaquil", "Quito", 
"Belo Horizonte", "Medellin", "Cali", "Havana", "Manaus", "Curitiba", 
"Maracaibo", "Recife", "Santa Cruz", "Porto Alegre", "Guadalajara", 
"Belem", "Puebla", "Goiania", "Cordoba", "Juarez", "Montevideo", 
"Leon de los Aldama", "Tijuana", "Barranquilla", "Tegucigalpa", 
"Campinas", "Barquisimeto", "Monterrey", "Sao Luis", "Managua", 
"Ciudad Nezahualcoyotl", "Maceio", "Callao", "Santo Domingo", 
"Guatemala City", "Port-au-Prince", "Rosario"), value = c(-0.00752411164965841, 
-0.00858235806970273, -0.0193390181364576, -0.0254733683434182, 
-0.0135609910986883, 0.105134246948455, -0.00327911235803224, 
0.02163440097074, -0.0079795250800731, -0.0120663651057852, 0.00566322468255433, 
-0.00977488904664624, -0.0168848675316369, -0.0196401016591058, 
-0.0192114068827001, -0.0128140808793732, -0.014223152965439, 
-0.00973446424945887, 0.0375699418169768, -0.02142105793661, 
-0.00695816631860418, 0.0110692713467446, 0.0459416198602932, 
-0.00522005746178392, 0.0117604524786534, -0.0171166573772657, 
-0.0224270599445623, 0.0568574598072727, 0.363782440715696, 0.00176871008818945, 
0.00615268511881207, 0.0218960489961891, -0.00677296734458201, 
0.00848375774004822, -0.00592202637837714, -0.00823049786018653, 
0.0654160956549713, 0.00655848522936036, -0.00811797806585994, 
-0.00759894252446815, -0.0101038496148005, -0.0192750800973933, 
-0.00774381271740157, -0.00270769939926697, -0.0115319737226118, 
0.067601746659629, 0.0412887465245744, 0.0675304707144076, 0.049352729240842, 
-0.00515059960494002, 0.0118978209360105, 0.0532868362072011, 
-0.0138900894067038, 0.0553103203820288, 0.0144467932412351, 
0.0230619422362681, -0.00768032309305345, 0.0295175710261359, 
0.0291436275702546, 0.0334635285240448, 0.00297185628988496, 
0.00860089159697064, 0.0418153705968756, 0.00884665494515552, 
0.0567507349024041, 0.0115747255551046, 0.00494974302483174, 
0.0222767386344832, 0.0410441639217649, 0.0339220986643466, -0.00851634191144674, 
0.032073082124077, 0.0150209385609767, 0.0917094854315508, 0.136101721332058, 
0.050368267606148, 0.0704829723767993, -0.0392054869667851, 0.000438081167034402, 
0.00922131908379296, 0.0250832686146108, -0.0160053135734178, 
0.105575686170073, -0.00770350237506892, 0.0185934426465312, 
0.0622439535708169, 0.007220419413762, 0.0556334333005619, -0.0169255561672605, 
0.0204398042931697, -0.00776762518081134, 0.0723950051880403, 
0.020920878349233, -0.00995206377715023, 0.0929229547913617, 
0.0228930063871382, 0.00842649575171037, -0.0425511033876532, 
0.0473487675635951, -0.0093536731191666, 0.00856150354267576, 
6.2395130758288e-05, 0.0180391647982547, 0.00166767498637137, 
-0.00860498608682273, 0.0105366504728758, 0.00343173349545559, 
-0.00792009126743003, -0.019685205307497, 0.0196050922389284, 
0.0219901276461645, 0.0189481802235595, 0.0138318843795572, -0.00365097545580035, 
-0.0166818970244572, -0.0479954584836083, 0.0184171924206671, 
-0.0176179306226417, 0.000719905928180277, -0.00772610628525053, 
0.0235675832224525, -0.0158458659538299, -0.0405076597339783, 
0.0531548160747947, 0.00775762163745756, 0.026232494634189, 0.0130544024464169, 
0.0467360166589372, 0.0193387856213601, 0.0191346924219357, 0.0251196408085357, 
-0.0118308797174065, 0.0125649925727593, 0.0979136729415388, 
0.0232545093007293, 0.00307768553311674, 0.0308309002997723, 
-0.0158154410745328, 0.0304899632424906, -0.0230856315886497, 
-0.113105853584711, -0.061531343276225, 0.0243821742105042, 0.15741352761236, 
-0.0266363954419561, 0.00930455151957403, -0.0352929141002193, 
0.0117437323008912, -0.0177357806200151, -0.0533701909768894, 
-0.0723079488380151, 0.0349916330912371, -0.0541181208042864, 
-0.034948153391848, -0.000224652317719612, -0.0338468457314207, 
0.0481618504964105, -0.0161638266039731, -0.000296376579238326, 
0.0431739523962326, 0.0433822174484497, 0.0169865188027782, -0.0287180945332731, 
-0.0206794881498912, 0.0142301430755713, 0.033694331269516, -0.446442104059541, 
0.00959839940203957, 0.0161915348613291, 0.0114643674721635, 
-0.0244942682854959, -0.0382169511934245, 0.0403839854108356, 
-0.00260313570491377, -0.202768982864469, -0.0273731843762094, 
-0.0320431601672718, -0.0219882334689516, 0.00146763256941326, 
-0.122515996840899, -0.0172163590871104, -0.027759749062993, 
-0.0226039983152669, 0.0242689613566711)), row.names = c(NA, 
-184L), class = c("tbl_df", "tbl", "data.frame"))

uj5u.com熱心網友回復：

你可以做：

plot_data_lines %>%
  filter(City %in% c("Lima", "Bogota","Cali")) %>%
  ggplot(aes(x = as.numeric(Year), y = value, color = City))  
  geom_line()   
  labs(x = "Year")

如果你把x = "Year"而不是，你會得到一條垂直線x = Year：

plot_data_lines %>%
  filter(City %in% c("Lima", "Bogota","Cali")) %>%
  ggplot(aes(x = "Year", y = value, color = City))  
  geom_line()

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