带有 R 的基本时间序列直方图

Question

I have a dataframe that looks like so:

> x
                Timestamp Calls
1   [2014-11-13 20:40:02]    18
2   [2014-11-13 20:40:05]    16
3   [2014-11-13 20:40:11]    15

and so on.

I would like to plot a histogram with 'Timestamp' values as the range and 'Calls' as the domain. What is the most straightforward way to do so?

Keep in mind, I have very little experience with R, so this is very much an R 101 question. Thanks!

Answer 1

df<-data.frame(time=c(1,2,3),Calls=c(18,16,15))
plot(df$time,df$Calls,type='l') 

Take a look at ?plot for more details about R 's basic plotting methods.

Answer 2

I found a slightly better approach that suited my needs in this particular case.

First, convert the timestamp to a plain integer to place on the x-axis:

Timeframe=as.numeric(strptime(Timeframe, "%Y-%m-%d %H:%M:%S"))

Now, for the visualization I'm looking for, I can use ggplot :

raw_data <-read.csv("serverName.data.20150116.csv")
data <- transform(raw_data, Seconds=as.numeric(strptime(Timeframe, "%Y-%m-%d %H:%M:%S")))

p<-ggplot(count_data, aes(Seconds, Calls))+geom_point(color="blue")
p

And then I get a decent visualization of the data: Playing with the graphical options in ggplot could give me more informative visualization, but as far as a straightforward plot to aid diagnostics, this will do.