For your figure of predicted regression results, you may want to explore interactions terms, squared terms, or over time changes

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

DATA VISUALIZATION ASSIGNMENT

Note: the requirements for this assignment will likely be a little unclear until after we cover data visualizations in class.

OVERVIEW

Graphically representing raw data or results from statistical analyses is often a particularly effective way to communicate key findings. We will cover data visualization in class during the week of March 22. For this assignment, you need to create two data visualizations:

1. Figure of either a univariate distribution or bivariate relationship. Using any data source, create a figure that shows either the univariate distribution of a single variable or a figure that shows a bivariate relationship between two variables (e.g. (e.g. histogram, box and whiskers plot, dot plot, scatter plot, over time change).

2. Figure of predicted regression results. Using any data source, use margins/marginsplot to create a figure that shows predicted results from a regression model (e.g. OLS, logit, ologit, mlogit).

OTHER DETAILS

• Include your name and data source as a “note” in each figure

• Turn in your figures as a PDF on Canvas

• For each figure, write a short paragraph that explains the figure (data source, variables, main finding or findings). Turn in the document on Canvas along with your figures

• For your figure of predicted regression results, you may want to explore interactions terms, squared terms, or over time changes

• You’re welcome to use any data source. Keep in mind that you could use the cumulative file of the GSS to look at over time changes. You could also use a single GSS cross- section other than 2018—maybe there is an especially interesting question that was only asked in a previous year.

• When making your figures, remember you want to honestly, accurately, and clearly represent the underlying data/findings. Be thoughtful about your decisions related to colors, fonts, axis scales, titles, labels, etc.

• You need to turn in your own figures, but I strongly encourage you to work on the assignment together and help each other troubleshoot issues

Attachments:

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