r - Time Series Analysis - for negative values? -

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i trying see trend based on sales figure based on months

amount     14997.816     26460.718     19607.54     -7612.395     78424.35     4565.6275     5338.02     8650.41     24390.235     9691.5975     168614.2575     887.25     12748.9     7651.5315     402818.9605     1912.45     113.5     11175.6245     23481.0465     10052.49     26962.1625     56399.7825     9751.879     3577.967     25698.45     24844.565     10339.175     165261.7405     460.8935     8383.212    date     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     6/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010     7/1/2010  df <- read.csv("----file path-----") df$date <- as.date( df$date, '%m/%d/%y') require(ggplot2) ggplot(data = df, aes(date, amount)) + geom_line()

i getting plot, doesn't resemble typical time-series plot, because of negative values in 'amount'?

how can plot time-series graph data above?

*sales amount invoice + credit notes , credit notes returned product, carry negative amount

the reason don't have chart resembles time series because data doesn't resemble time series. it's easier see base plotting function, have 2 dates in object:

plot(amount ~ date, data=df)

enter image description here

i sure isn't intentional.

df:

structure(list(amount = c(14997.816, 26460.718, 19607.54, -7612.395,  78424.35, 4565.6275, 5338.02, 8650.41, 24390.235, 9691.5975,  168614.2575, 887.25, 12748.9, 7651.5315, 402818.9605, 1912.45,  113.5, 11175.6245, 23481.0465, 10052.49, 26962.1625, 56399.7825,  9751.879, 3577.967, 25698.45, 24844.565, 10339.175, 165261.7405,  460.8935, 8383.212), date = structure(c(14761, 14761, 14761,  14761, 14761, 14761, 14761, 14761, 14761, 14761, 14761, 14761,  14761, 14761, 14761, 14761, 14761, 14791, 14791, 14791, 14791,  14791, 14791, 14791, 14791, 14791, 14791, 14791, 14791, 14791 ), class = "date")), .names = c("amount", "date"), row.names = c(na,  -30l), class = "data.frame")

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