bug.growth <- fread("data/sorted_bug_growth_for_r_every_500.txt")
colnames(bug.growth) <- c("time","bugs")
bug.growth <- bug.growth[pmax(bugs) <= as.numeric(bugs),]
+bug.growth <- bug.growth[order(time),]
+bug.growth <-
+ bug.growth[c(0,diff(bugs))>=0,]
bug.growth[,date:=
as.POSIXct(ISOdatetime(1970,1,1,0,0,0)+
as.numeric(bug.growth$time))]
-print(ggplot(bug.growth[date > as.POSIXct(ISOdatetime(2005,1,1,0,0,0)),],
+bug.growth[,`bugs per day`:=c(0,diff(bugs)/
+ as.double(diff(date),"days"))
+ ]
+print(ggplot(bug.growth,#[date > as.POSIXct(ISOdatetime(2005,1,1,0,0,0)),],
aes(x=date,y=bugs))+
xlab("Time")+ylab("Bugs filed in Debian")+
scale_y_continuous(labels = scientific_10)+
\end{center}
\end{frame}
-\begin{frame}
+\begin{frame}{Bug Growth Rate}
+<<bug_growth_rate,echo=FALSE>>=
+print(ggplot(bug.growth[date > as.POSIXct(ISOdatetime(2014,1,1,0,0,0)),],
+ aes(x=date,y=`bugs per day`))+
+ xlab("Time")+ylab("Bugs filed per day")
+ + scale_y_log10(breaks=c(60,100,200,400,800))
+ + geom_line()+stat_smooth(method="lm")
+ + geom_label(data=data.table(date=as.POSIXct(ISOdatetime(2015,04,25,0,0,0)),"bugs per day"=400),label="Jessie",color="red")
+ + geom_label(data=data.table(date=as.POSIXct(ISOdatetime(2017,06,17,0,0,0)),"bugs per day"=400),label="Stretch",color="purple")
+ )
+@
+\end{frame}
+
+\begin{frame}{My entries into Cristian's game}
\begin{columns}
\column{0.5\textwidth}
\begin{center}