Visualizations in R Project[WLO: 3] [CLOs: 2, 3]Prior to beginning work on this assignment, be sure to have completed all previous labs in the course. For the Final Project, you will use the R and RStudio tools you have worked with throughout this course to create the visualizations for the elements described below.Create a data set in R from the csv input file provided in the lab and show the data rows for the State of Iowa.Display the head and tail for the Iowa data set.Create a bar chart in R that displays the following attributes in a useful manner. Include appropriate labeling for the elements:Driver IDCityStateAvg velocityTotmilesRiskfactorCreate a pie chart in R that shows the ratio of “risky drivers” compared to drivers who are not. Include appropriate labels that indicate the elements in the visualization. NOTE: In the state of Iowa, any driver who has a riskfactor greater than or equal to seven is considered a risky driver.Create a U.S. state map of Iowa using the map package and library information you loaded to your R environment in Week 5, and display the following:The state information from “states:” list and create a subset variable.Plot the state by using the ggplot() function with coord_fixed(1.3).Display the boundaries of the state’s counties in the map of the state.For each completed element, create a screen capture of your product and include it in a Word document. Clearly label each screen capture with the assignment element it represents. Be sure that your screen captures are large enough that they are clear and easily readable. You should have a minimum of five screen captures in your document. Submit your document to Waypoint for grading.The Visualizations in R ProjectMust include a minimum of five clearly labeled screen captures.Must include a separate title page with the following:Title of AssignmentStudent’s nameCourse name and numberInstructor’s nameDate submittedPlease find the below materials for your review. This includes recorded session, presentation, R code and data samples for the two regressions model.I strongly suggest that you listen to the recorded lecture at it's entirely before reviewing the attached codes. These two R models are the most tools used in any corporate as part of data science efforts related to machine learning and artificial intelligence.Recorded session (logistics and Linear Regression in R)https://drive.google.com/file/d/1Es7lKb_hGtXmhLmuEJM45MEaLPQyd7kO/view?usp=sharing (Links to an external site.)Logistics and Linear regression in R. (Presentation)https://drive.google.com/file/d/1WJMUPORIYQSvoHHeA_c9Eu0IwePLg3ox/view?usp=sharing (Links to an external site.)Linear Regression:Code in Rhttps://drive.google.com/file/d/1t-xYgyQYFHa6e0R2IbZhAmPbne-ysPyx/view?usp=sharing (Links to an external site.)Linear Regression Data samplehttps://drive.google.com/file/d/1i-K0mJM4B_f-U0YAC5lF9NBVc6id6RVp/view?usp=sharing (Links to an external site.)Logistic RegressionCode in Rhttps://drive.google.com/file/d/1MwqebB3loU6fkmcaBCoRZhWf0hWGQyrJ/view?usp=sharing (Links to an external site.)Logistic Regression Data samplehttps://drive.google.com/file/d/10sQUrJYvp54nl31OkEx1TTsEXjFx9HZH/view?usp=sharing (Links to an external site.)

Demonstrate an understanding of basic C++ programming concepts by completing the following:Create a simple C++ console application using Eclipse IDE that will accomplish the following:Prints the following information for a fictional person:First Name,Last Name,Street AddressCityZip codeGiven the provided code in file CSC450_CT1_mod1-1.cpp, correct all syntax errors so that the code will compile correctly.Given the provided code in file CSC450_CT1_mod1-2.cpp, correct all syntax errors so that the code will compile correctly.Compile and submit source code(s) and screenshots of the application executing the results in a single zip file.