I have a df which when plotted as a graph using plotly arranges the axis alphabetically than in the correct order of april ,may ,june. How can this be fixed.
Month_considered pct ATC_Count
<chr> <dbl> <fct>
1 Apr-17 1.62 6,004
2 May-17 1.60 6,671
3 Jun-17 1.56 6,979
4 Jul-17 1.56 6,935
5 Aug-17 1.55 7,225
6 Sep-17 1.50 6,684
7 Oct-17 1.45 6,451
8 Nov-17 1.41 6,460
9 Dec-17 1.39 6,715
10 Jan-18 1.39 6,427
11 Feb-18 1.54 6,844.00
plot_ly(ab, x = ~Month_considered, y = ~pct, type = 'scatter',mode = 'markers',line = list(color = 'rgb(205, 12, 24)', width = 4))
If you convert Month_considered
to an R Date type with something like the example below you'll get a proper date axis. (Note that you have to spoof in a day value for as.Date()
to parse properly)
plot_ly(ab,
x = ~as.Date(paste0("01-",Month_considered),format = "%d-%b-%y"),
y = ~pct,
type = 'scatter',
mode = 'markers',
line = list(color = 'rgb(205, 12, 24)',
width = 4))
If for some reason you didn't want a true date axis, then you could convert your Month_considered
column to an ordered factor and specify the proper order.
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