To compare the distribution between subgroups of a continuous variable, such as the average SAT score in public school and private school, what is the best visualization type among the following choices? Assume we are especially interested in comparing the 1M quantile, median, and 3M quantile of the data. C) histogram O scatter plot 0 box plot 0 bar plot To visualize the relationship of two continuous variables, such as the correlation between university's tuition fee and the faculty's salary, what is the best visualization type among the following choices? O histogram O heatmap O density plot O scatter plotFor the college data set, assume you have a scatter plot using position mapping x=average SAT score and y=admission rate, you want to add a third variable-the number of undergmte students, what is the least efcient aesthetic mapping? 0 color spectrum, using color= fl||= O grey-scale spectrum, using color= ||= O monochormatic spectrum, using color= ||= 0 area, using size = Suppose a continuous variable is visualized by a histogram as follows. Is it OK for me to visualize the same variable using a boxplot? Are any disadvantages of using a boxplot in this case? No need for code, just comments are fine. 200 count 100-The barplot below visualizes the admission rates of the universities in each state in USA. What are some of the potential improvementisi? No need to submit code, just comments are ne. Count of Institutions par Stats u as sin ts Ion Count of Colleges The left panel yisualizes the relationship between body weight and brain weight for ya rious animals. Because of the scales of data, we cannot see the data very well. In the right panel, we take a log10 transformation on both the body weight and brain weight, which displays the data much better. In the right panel, I have added one extra data point in blue. What is the approximate body weight of the blue dot? 0000 Brain weight in pounds Raw Values :- I 0 2000 4000 Body weight in pounds about3 aboutS about about2 6000 After Transformation i o ' 0 1? . g : . o. o 0 O ' o o .1, g D. 015 I O E : dr 3 . 'l: : a .' 'g 0013 ' "* s e .o'*' .E I 0' .13 (U 05 0.001 : '4' z .8- 16-04TJIIIA IIIIII4 IIIII4 IIIII4 |I|l||4 IIIIIIJ Inllll 001 Q1 1 10 100 1000 Body weight in pounds The barplot below visualizes the proportion of the public and private universities in each state in USA using the college.csv data set. For this barplot, what is its major weakness and the potential improvement? No need to submit code, just comments are fine. 100% PrivPub precent 50% Private Public 0%- WI WV WY state