Answer Happy

Project Description The goal of this project is to perform data analysis using R. The techniques and skills we have introduced in class will help you along the way. Datasets: Dataframes flights, airlines in the nycflights13 package. Other data can be integrated when needed. In this project, you will need to read in the given dataset in RStudio and then perform the following data analysis using R. Part I. Reading in the dataset and basic analysis Pat II. Visualizing relationships between pairs of variables Part III. Manipulating/joining transforming Data Part IV. Summarizing data For each of the above four topics, please design 5 interesting questions/tasks, run R commands to get the answers or complete the tasks. Sample Questions: Q1. What are the subjects of this dataset? Q2. How many subjects are there? Q3. What type of variable is origin?Q4. What is the most common origin? Q5. What is the minimum distance? Sample Tasks: T1. Produce a table to summarize the origin variable. T2. Produce a bar chart of the origin variable. T3. Calculate the mean and standard deviation of the distance variable. T4. Produce a histogram of the distance variable. T5. Visualize the relationship between arr_time and sched_arr_time using scatterplot. Project Report The report should include but not limited to the following components.
1. Title and author(s). 2. Project Description. Give a brief introduction of the project goal. Describe the basic information of the dataset. 3. Data Analysis and Results. In this section, please document all the data analysis in the following four parts. For each part, document the following: specific questions/tasks; R commands you used to solve the problems/tasks; answers/results to the questions/Running results of the commands (tables, figures, or values). o Part I. Reading in the dataset and basic analysis Question/Task... • Commands... . Results... o Pat II. Visualizing relationships between pairs of variables Question/Task... • Commands... • Results... o Part III. Manipulating/joining transforming Data · QuestionTask. • Commands... • Results... Part IV. Summarizing data Question Task... Commands... Results... 4. The contribution of each member of the group. Evaluation • The project will be evaluated by creativity of questions/tasks, completeness, correctness, and report writing quality.