1. Load TwitterSpam dataset into R studio, use ggplot function to make density plot of column no_tweets to compare spam and non-spam. Clarify how you make the plot and what's your observation from the density plot. 2. Use ggplot function to make scatterplots to present the relation of column accout_age and the column no_follower, displaying spammer and non-spammer with different colours. Clarify how you make the plot and what's your observation from the scatter plot. 3. Add regression lines to the scatterplot generated in Step 2 for spammer and non-spammer separately. what's your observation from the regression lines? Compared with scatterplot only, what are the advantages of adding regression lines? I need full explanation of answer including coding and description of each answer. please