Time Series Scale in R

Question

I have time series data:

x <- structure(list(date = structure(c(1264572000, 1266202800, 1277362800, 1277456400, 1277859600, 1278032400, 1260370800, 1260892800, 1262624400, 1262707200), class = c("POSIXt", "POSIXct"), tzone = ""), data = c(-0.00183760994446658, 0.00089738603087497, 0.000423513598318936, 0, -0.00216496690393131, -0.00434836817931339, -0.0224199153445617, 0.000583823085470003, 0.000353088613905206, 0.000470295331234771)), .Names = c("date", "data"), row.names = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10" ), class = "data.frame") 

and I will make a barcode of this data set in which each column will indicate each date (if there is no data for the time interval, there should be spaces).

Can anyone help me?

Answer 1

Using ggplot : (Note that you must provide stat="identity" before geom_bar so that it does not summarize data and does not create a histogram).

 library(ggplot2) ggplot(x, aes(x=date, y=data)) + geom_bar(stat="identity") 

And if you tend to use basic graphics:

 plot(x$date, x$data, type="h")