Plotting graphs lines based on column values from the same datafram using Plotly

Question

I am trying to plot a line graph of different types of cars sold per day in ** plotly ** on ** R **. The way the graph would look is that, it would have line graphs of each type

Answer 1

I didn't see the same error (without trace type specified, it drew a histogram).

library(plotly)

df1 <- data.frame(
  id = c("Honda", "Honda", "Honda", "Merc", "Merc", "Merc", "Toyota", "Toyota"),
  date = c('10/30/12', '10/31/12', '11/1/12', '11/2/12', '10/30/12', '10/31/12', '11/1/12', '11/3/12'),
  Value = c(2, 3, 3, 4, 1, 2, 3, 2)
)

df1$date <- as.Date(df1$date, "%m/%d/%y")

plot_ly(df1,x=~date)%>% 
  add_trace(y=filter(df1,id=="Honda")$value,name="Honda",mode="lines+markers")%>%
  add_trace(y=filter(df1,id=="Merc")$value,name="Honda",mode="lines+markers")%>%
  add_trace(y=filter(df1,id=="Toyota")$value,name="Honda",mode="lines+markers")%>%
  layout(xaxis=list(title="Date"),yaxis=list(title="Cars Sold"))

> plot_ly(df1,x=~date)%>% 
+   add_trace(y=filter(df1,id=="Honda")$value,name="Honda",mode="lines+markers")%>%
+   add_trace(y=filter(df1,id=="Merc")$value,name="Honda",mode="lines+markers")%>%
+   add_trace(y=filter(df1,id=="Toyota")$value,name="Honda",mode="lines+markers")%>%
+   layout(xaxis=list(title="Date"),yaxis=list(title="Cars Sold"))
No trace type specified:
  Based on info supplied, a 'histogram' trace seems appropriate.
  Read more about this trace type -> https://plot.ly/r/reference/#histogram

You don't need to filter by each car type. Instead use group_by before calling plot_ly --- perhaps this is what you had in mind:

df1 %>%
  group_by(id) %>%
  plot_ly(x=~date, y=~Value, type='scatter', color=~id, mode="lines+markers") %>%
  layout(xaxis=list(title="Date"),yaxis=list(title="Cars Sold"))