Based on the following dataset, the attached time series trace the evolution of meetings (monthly number of meetings per year) at the Rotary Club of Shanghai over the period May 1920-September 1935 (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