Give me the r code to solve this problem

Problems

A souvenir shop in a beach resort town in Queensland, Australia is attempting to forecast sales for the $12$ months of the year $2002.$ The forecast will be based on the shop's monthly sales data, in Australian dollars, from $1995$ to $2001.$ This historical sales data is available in the SouvenirSales.csv file.

$1)$

Create a time plot of monthly sales for the souvenir shop. Provide your screenshot of the plot here. $(1$ point$)$

$2)$

Based on the plot, do you see a trend in the data? If so$,$ what kind of trend do you expect? $(1$ point$)$

$3)$

Based on the plot, do you see a seasonality in the data? If so$,$ how many months are in one $$season$1?(1$ point$)$

Partition the data into training and validation sets, with the validation set containing the last $12$ months of data $($year $2001).$ Remember to fit only the training data.

$4)$

Perform a na$$ve forecast with seasonal mean values $($Note: na$$ve with seasonal mean is different from na$$ve forecast$).$ Remember to fit only the training data. $(1$ point$)$ What is the RMSE for the forecast on the validation data $($Note: Look at the RMSE under the test set, not the training set$)?(1$ point$)$

$5)$

Run a regression model with a linear trend and monthly seasonality. Remember to fit only the training data.

a$.$

What is the estimated trend coefficient? $(1$ point$)$ What does this mean? $(1$ point$)$

b$.$

What is the RMSE for the forecast on the validation data? Does this model perform better or worse than the na$$ve forecast in Question $4?(1$ point$)$

$1$ Don$$t confuse the time series term $$season$,$ which is the period over which a cyclical pattern repeats $($e$.$g$.$ a year$),$ with the standard English seasons of the year $($fall$,$ winter, etc.$)$

$2$

$6)$

Use Holt$-$Winter$$s exponential smoothing approach to make a prediction. Remember to fit only the training data.

a$.$

What is the RMSE for the forecast on the validation data? Does this model perform better or worse than the na$$ve forecast in Question $4?(1$ point$)$

b$.$

Plot the predicted values and actual values of the validation data. Provide your screenshot of the plot here. $(1$ point$)$