在 R 中訂購帶有 plotly 的 x 軸

Question

我正在嘗試使用 plotly package 制作圖表。 我認為這將是一件容易的事，但我被這段代碼困住了。 下面你可以看到代碼和數據

  DataSetTable<-structure(list(Range = c("=<100", "100-200", "200-300", "300-400", 
                                                               "400-500", "500-600", "600-700", "700-800", "800-900", "900-1,000", 
                                                               "1,000-1,100", "1,100-1,200", "1,200-1,300", "1,300-1,400", "> 1,400"
                        ), Sales_before = c(91.3653, 92.89215, 281.44935, 135.2511, 93.73995, 
                                            44.87535, 25.1424, 15.1659, 9.32445, 5.6484, 4.3929, 3.2049, 
                                            2.2329, 1.58355, 7.6707), Sales_after = c(86.2056, 80.6733, 256.63905, 
                                                                                      142.83, 110.2518, 53.82045, 29.95515, 17.7552, 10.4598, 6.8472, 
                                                                                      4.7466, 4.06755, 2.62575, 2.01285, 9.1125)), row.names = c(NA, 
                                                                                                                                                 -15L), class = c("tbl_df", "tbl", "data.frame"))
                    

所以下一個陡峭的應該是用 plotly package 繪制這個數據。 為了做到這一點，我嘗試使用下面的代碼 plot 這個數據

library(plotly)
 fig <- plot_ly(DataSetTable, x = ~Range, y = ~Sales_before , name = "Sales_before", type = 'scatter', mode = 'lines',
                                       line = list(dash = "solid"))
                        fig <- fig %>% add_trace(y = ~Sales_after, name = "After_before", line = list(dash = "dash"))%>%
                          layout(
                            xaxis = list(title = ' '),
                            yaxis = list(title = ' ')
                          )
fig
                    

但是這段代碼的結果並不好，因為 x 軸有不同的順序。你可以看到圖表的樣子：

那么任何人都可以幫助我修復此代碼以獲得如下圖所示的圖表嗎？

Answer 1

您可以將 Range 更改為有序因子。

DataSetTable<-structure(list(Range = c("=<100", "100-200", "200-300", "300-400", 
                                                                                 "400-500", "500-600", "600-700", "700-800", "800-900", "900-1,000", 
                                                                                 "1,000-1,100", "1,100-1,200", "1,200-1,300", "1,300-1,400", "> 1,400"
    ), Sales_before = c(91.3653, 92.89215, 281.44935, 135.2511, 93.73995, 
                                            44.87535, 25.1424, 15.1659, 9.32445, 5.6484, 4.3929, 3.2049, 
                                            2.2329, 1.58355, 7.6707), Sales_after = c(86.2056, 80.6733, 256.63905, 
                                                                                                                                142.83, 110.2518, 53.82045, 29.95515, 17.7552, 10.4598, 6.8472, 
                                                                                                                                4.7466, 4.06755, 2.62575, 2.01285, 9.1125)), row.names = c(NA, 
                                                                                                                                                                                                                                                     -15L), class = c("tbl_df", "tbl", "data.frame"))
    
DataSetTable$Range <- factor(DataSetTable$Range, ordered = T, levels=DataSetTable$Range)
    
library(plotly)
fig <- plot_ly(DataSetTable, x = ~Range, y = ~Sales_before , name = "Sales_before", type = 'scatter', mode = 'lines',
                                 line = list(dash = "solid"))
fig <- fig %>% add_trace(y = ~Sales_after, name = "After_before", line = list(dash = "dash"))%>%
        layout(
            xaxis = list(title = ' '),
            yaxis = list(title = ' ')
        )
fig