Proposal Review

[LaurieLBaker]

Proposal Review

Reviewer Name: Professor Baker Date: Mar 9, 2022

Section 1 - Introduction:

The introduction should introduce your general research question and your data (where it came from, how it was collected, what are the cases, what are the variables, etc.).

What is their general research question: how different characteristics of board games influence how they are perceived by players. This can be explored by looking at how the average rating varies with such variables as the number of players needed, the playing time, and when the game was published. They also want to review popularity based on game artists Is the general research question clear? If it is not clear, what questions do you have?

• It will be interesting to also think about what isn't being captured about the game or what variables are unknown (Like how fun/competitive/intense the group of people you are playing the game with are, or who of your friends/family cheats and in what games;-)).

Section 2 - Data:

• [X] Is the data in the /data folder?
• [ ] Does the README include the dimensions and codebook for the data set?
• [X] Does the proposal include the output of glimpse() or skim() of the data frame.

Data suitability:

• [X] Does the dataset have at least 50 observations and between 10 to 20 variables (exceptions can be made).
• [X] Does the data set include a mix of categorical variables, discrete numerical variables, and continuous numerical variables.
• [] What variables does the data include (list below):

Section 3 - Data analysis plan:

• [X] Does the proposal include outcome (response, Y) and predictor (explanatory, X) variables they will use to answer your question? And/or the comparison groups they will use, if applicable.

Do the outcome and predictor variables and/or comparison groups make sense in the context of the question? Why or Why not?

• Yes it does make sense. I would definitely divide the games up into categories (From the time plot it looks like folks consistently rate games about the same over time, although I wonder if you'd see a peak in playing games during the pandemic).

• [X] Does the proposal include some very preliminary exploratory data analysis, including some summary statistics and visualizations, along with some explanation on how they help you learn more about your data. (They can add to these later as they work on their project.)

• [X] Does the proposal include the statistical method(s) that they believe will be useful in answering your question(s). (They can update these later as they work on their project.)

  • I think that a linear model would work well here or possible a Generalized Additive Model that allows for more nonlinear relationships.

• [ ] Do they include what results from these specific statistical methods that are needed to support their hypothesized answer?

  • I might have missed this, but variables that increase the popularity (i.e. have a positive slope) would tell you that those variables influence mean someone will rate the game more highly.

Reflections

1. What was something you found interesting about the project?

   • There's lots of cool things to look at with this dataset. I think that a linear model is a good way to explore some of the variables and also see whether there are meaningful combinations/interactions.

2. What ideas/feedback do you have for other things they may explore?

   • I think you might want to hone in on some specific subquestions. There's are a lot of possibilities and you'll want to tell a clear story at the end. I think these subquestions will narrow down and emerge as you go. I think it will also be interesting to see what categories of games have stood the test of time and how they have varied over years.

3. What kinds of plots should they consider to complete the project goal to create some kind of compelling visualization(s) of this data in R?

   • I think a time series line plot of game types will be interesting.
   • .Some plots showing the spread of data like a geom_density of time to play games would be interesting and finding out what games tend to take the longest and perhaps with a geom_ridge plot.

4. Any additional feedback you'd like to give the other group:

   • Really interesting project.
   • I think there will be some good opportunities for audience interaction, like finding out what games they've played or heard of or doing a class survey of what type of games they have played or like.

[Rundstedtzz]

Proposal Review Team: Chrissy & Ricky Date: 3/1/2022

Section 1 - Introduction: The introduction should introduce your general research question and your data (where it came from, how it was collected, what are the cases, what are the variables, etc.).

What is their general research question: how different characteristics of board games influence how they are perceived by players. This can be explored by looking at how the average rating varies with such variables as the number of players needed, the playing time, and when the game was published. They also want to review popularity based on game artists

Is the general research question clear? If it is not clear, what questions do you have? It is unclear in terms of what is "how they are perceived by players" and what is "different characteristics of board games". I think it can be more clear if it is defined as the following (if I understand it correctly) Response Variable(s) Y: "how they are perceived by players" can be the average ratings and popularity (number of ratings. Predictor Variable(s) X: "different characteristics of board games" can be the number of players needed, the playing time, and when the game was published.

[chrissyaman]

Proposal Review Reviewers Team Name: ricky-chrissy Date: 3/1/2022 Section 2 - Data: Is the data in the /data folder? No Does the README include the dimensions and codebook for the data set? No Does the proposal include the output of glimpse() or skim() of the data frame. Yes Data suitability: Does the dataset have at least 50 observations and between 10 to 20 variables (exceptions can be made). Yes Does the data set include a mix of categorical variables, discrete numerical variables, and continuous numerical variables. What variables does the data include (list below): Yes

Section 3 - Data analysis plan: Does the proposal include outcome (response, Y) and predictor (explanatory, X) variables they will use to answer your question? And/or the comparison groups they will use, if applicable. Yes Do the outcome and predictor variables and/or comparison groups make sense in the context of the question? Why or Why not? Yes because you would expect things like playtime and the number of players to impact the rating they could maybe have more explanatory variables such as type(category) or age group(min age) and mechanic(dice rolling vs auction)

Does the proposal include some very preliminary exploratory data analysis, including some summary statistics and visualizations, along with some explanation on how they help you learn more about your data. (They can add to these later as they work on their project.) yes

Does the proposal include the statistical method(s) that they believe will be useful in answering your question(s). (They can update these later as they work on their project.) No

Do they include what results from these specific statistical methods that are needed to support their hypothesized answer? no

[chrissyaman]

Reflections What was something you found interesting about the project? I think the concept is really interesting and not something I would have thought to do. What ideas/feedback do you have for other things they may explore? I would consider adding some explanatory variables and I think there are some cool regressions that could be run. What kinds of plots should they consider to complete the project goal to create some kind of compelling visualization(s) of this data in R? scatterplot, histogram, ordered bar chart Any additional feedback you'd like to give the other group: I would just add statistical methods but it looks like an interesting project

[Rundstedtzz]

Proposal Review Team: Chrissy & Ricky Date: 3/1/2022

Reflections (Ricky) What was something you found interesting about the project? The data set is quite interesting: there are many interesting variables there, both identifier variables such as game types and game mechanics, and rating variables. What ideas/feedback do you have for other things they may explore? They can look into specific groups (min_age, categories of games, mechanics) and see what is going on in each category What kinds of plots should they consider to complete the project goal to create some kind of compelling visualization(s) of this data in R? -This is not technically a plot, but I think they can have a table to rank ratings for top games by categories -Similarly, they can have a box plot or violin plot for user ratings by different categories of games or by mechanics -Also a heat map or correlation tables would be great Any additional feedback you'd like to give the other group: There are many great variables in this dataset, so I think it would be important to consider how to tell a good story, and try to have different analyses connected with each other

[LaurieLBaker]

@jdonahu @gkacton @finnaball4eva. See feedback above:-)