Publications by Mark Lois Eyo

HW Class 3: Data Types and Esquisse

18.01.2022

35 points (30 for this assignment, 5 for being on time) Congratulations! You have a summer internship at the Utah Department of Environmental quality. For your first assignment, your supervisor hands you a dataset of hazardous material spills from 1977 to 2014 and asks you to explore the dataset and prepare some visualizations to help the departm...

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MPA 635 HW Class 2: Design Assignment

18.01.2022

35 points (30 for this assignment, 5 for being on time) Optional: You may find it helpful to watch the following video since we will roughly follow similar steps to complete the rest of this assignment. (Note: this guy uses “=” to create objects rather than “<-” and periods (.) in object names both of which are not typical R practice.) ht...

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Week 5- Covariation

26.01.2022

25 points (20 for this assignment, 5 for being on time) Woohoo! You got hired by an HR department at a large nonprofit in Los Angeles, California. They are in the process of restructuring their employee compensation. They have asked you to explore an IRS dataset to see how other nonprofits compensate their top executives. Answer the following 6 q...

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HW Class 6: Data & dplyr 1

27.01.2022

40 points (35 for this assignment, 5 for being on time) You are working as a research assistant for a couple professors who are writing a paper about changes to asylum applications in the United States in the past few years.They would like you to produce the visuals for their paper. Step 1: Load the following libraries. Step 2: Load the asylum_...

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Midterm

01.02.2022

55 points total Instructions This is a closed friend, open class material, open internet test. All graphs can be made using code from the visualization html. Graph Grading and Instruction For every graph that you generate yourself from scratch, the following grading scheme will be used: 2 points for trying some sort of code 4 points for the gra...

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HW 7- DPLYR 2

30.01.2022

35 points (30 for this assignment, 5 for being on time) You are still working on visualizations for the research professors. This time they have asked you to make some different types of graphs that will require new dplyr skills. Step 1: Load the following libraries. Step 2: Load the asylum_app csv. (Use the readr package with mutate_if) asylum...

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