Based on the following dataset, the attached time series trace the evolution in the volume (number of pages per issue) of the Chinese Economic Journal over the period November 1923-June 1937 (inclusive).

• The first graph simply plots the time series using R Studio function "plot.ts() - and "na_interpol" from R package "imputeTS" to fill missing data.
• The second graph plots the same time series transformed into an additive model after calculating the natural lof of the original data using "log()" function. 
• The third graph plots the smoothed time series based a smoothing average of order n = 8 - using the function "SMA()" from R package "TTR" and "na_interpol" from R package "imputeTS" to fill missing data 
• The fourth graph plots the decomposed time series - using R function "decompose()" 
• The fifth and last graph plots the same series after seasonal adjusting