Assignment Problem:
1. Load instagram spammer dataset into R studio, use ggplot function to make density plot of followings' number (column: no_following) to compare spam and non-spam. Please clarify on how you make the plot, and what's your observation from the density plot?
2. Load instagram spammer dataset into R studio, use ggplot function to make density plot of followers' number (column: no_follower) to compare spam and non-spam. Please clarify on how you make the plot, and what's your observation from the density plot?
3. Compared with the result from task 1 and task 2, for the 'followers' and 'follows' columns, which one is more valuable for detecting Instagram spam? Why?
4. Use ggplot function to make scatterplots to present the relation of posted posts number (column: posts) and the number of followers (column: followers), color the points based on the (column fake). Please explain how you make the scatterplot and the relationship between the number of posts and the number of followers you observe from the scatterplot.
5. Add regression line to the scatterplot generated in Step 4. Compared with scatterplot only, what are the advantages of adding a regression line?
6. Data exploration is the initial step in data analysis, where users explore a data set in an unstructured way to uncover initial patterns, characteristics, and points of interest. Except approaches mentioned in Assessment 1 and Assessment 2 (1)(2)(3)(4)(5) and characteristics observed from these approaches, what other characteristics, points of interest, or initial patterns do you find from the dataset? Please describe one of your findings and give a detailed description of how you achieve it.