Forecasting, Time Series Analysis, Fourier Transform, R, Ml So Good.
abbreviate = TRUE))%>% mutate(dayname = factor(dayname,levels=c("Mon", "Tue", "Wed", "Thu","Fri","Sat","Sun")))%>% ggplot(., aes(x=Date, y=n, fill=factor(dayname)), alpha=0.5)+ geom_bar(stat="identity")+ theme_bw()+ labs(x="Date", y="Telephone calls", fill="Dayname", title="Actual telephone calls