Categorical Variables Information Visualization Worksheet

Hello,Please answer the following tasks in separate documents as per the guide;ines Paper 5According to Healy, ‘Putting categorical variables on the y-axis to compare their distributions is a very useful trick’. Using the five paragraph format, explain what he means. This paper should be single spaced. It should have a meaningful title. It must include 3 quotes from the text or from expert sites found in the library’s research databases or from the text. They should be cited properly in APA format.======================================================================Asgnmt 5Attached Files:File Assignment 5.Rmd (1.668 KB)Experiment with the gapminder data to practice some of the new geoms we have learned. Try examining population or life expectancy over time using a series of boxplots. (Hint: you may need to use the group aesthetic in the aes() call.) Can you facet this boxplot by continent? Is anything different if you create a tibble from gapminder that explicitly groups the data by year and continent first, and then create your plots with that? Comment your code line by line. Explain what your charts are showing. Submit an R Markdown or submit screenshots with timestamps in a single Word file documenting your code and outcome .=====================================================================Lab 5 – Interactive VisualizationsUsing your own data, create three interactive visualizations using plotly.Here are three sources:NHSR – very thorough but not the best sound qualityInteractive Scatter Plot – limited to scatter plotsHistogramSubmit an R Markdown file with the code and charts. Comment your code line by line explaining what each function and each function parameter are doing.=================================================================Titanic VisualizationUsing the attached train.csv file from Kaggle.com to produce various visualizations that will help you predict who will survive the sinking of the Titanic. Use age, marital status of women, gender, number of siblings/spouses aboard, number of parents/children aboard, fare, and passenger class.VARIABLE DESCRIPTIONS Pclass survival name sex age sibsp parch ticket fare cabin embarked boatPassenger Class (1 = 1st; 2 = 2nd; 3 = 3rd)Survival (0 = No; 1 = Yes)Number of Siblings/Spouses AboardNumber of Parents/Children AboardTicket Number Passenger Fare (British pound)CabinPort of Embarkation (C = Cherbourg; Q = Queenstown; S = Southampton)Decribe and summarize the data in the train set. Submit at least five professional looking charts or graphs. You must use all the variables in at least one chart or graph. Use a variety of chart types. Explain what each chart/graph is showing.