# 2. Exploring numeric variables Lets look deeper into the three numerical variables in the usedcars dataset: year, price and mileage. 1. Find the central and spread measures of those 3 features. 2. What can you conclude from the results of the year variable? 3. Discuss the mean and median results of the price and mileage features. 4. Create the price and mileage boxplots and histograms. Can you conclude the distribution for each variable? 5. Compute the variance and standard deviation of the price and mileage variables. 6. Find the interval of advertised prices of the 95% of the cars. ## 3. Exploring categorical variables Lets look deeper into the three categorical variables in the usedcars dataset: model, color and transmission. 1. Examine those 3 variables separately. 2. Find the central measure of those 3 features. 3. Can you nd the proportion table of the model? 4. Display the percentage table with 2 decimal places of the color variable. ## 4. Exploring relationships between two variables Lets look deeper into the following two questions: a. Does the price data imply that we are examining only economy-class cars or are there also luxury cars with high mileage? b. Do relationships between the model and color data provide insight into the type of cars we are examining? 1. What we should do to answer question a.? Explain your result. 2. What we should do to answer question b.? Explain your result.