Go through Ch.5 Exploratory Data Analysis of R for Data Science book and answer the following questions.

a. Explore the distribution of price. Do you discover anything unusual or surprising? (Hint: carefully think about the bin width and make sure you try a wide range of values.). [Qn. 2 of exercise in Page 91]

b. What variable in the diamonds dataset is most important for predicting the price of a diamond? How is that variable correlated with cut? Why does the combination of those two relationships lead to lower quality diamonds being more expensive? [Qn. 2 of exercise in Page 99]

c. Use geom_tile() together with dplyr to explore how average flight delays vary by destination and month of year. What makes the plot difficult to read? How could you improve it? [Qn.2 of exercise in Page 101]