Peer review

Milestone 4

Project

During the peer feedback process, you will be provided read-only access to your partner team’s GitHub repo. You will provide your feedback in the form of GitHub issues to your partner team’s GitHub repo.

Goals

The goals of this milestone are as follows:

  • Review others’ project drafts as a team and provide feedback
  • Post issues on GitHub using an issue template
  • Learn from others’ projects and improve your own project based on their strengths and weaknesses

Instructions

Review two other teams’ projects. As a team you should spend ~30 minutes on each team’s project.

  • Find the names of the teams whose projects you’re reviewing below. You should already have access to this team’s repo.

  • Each team member should go to the repo of the team you’re reviewing.

  • Then,

    • 1-2 team members clone the team’s project and renders it to check for reproducibility.

    • 1-2 team members open the team’s project in their browser and starts reading through the project draft.

    • 1 team member opens an issue on the team’s repo using the peer review template.

    • All team members discuss the project based on the prompts on the issue template and one team member records the feedback and submits the issue.

  • To open an issue in the repo you’re reviewing, click on New issue, and click on Get started for the Peer review issue. Fill out this issue, answering the following questions:

    • Peer review by: [NAME OF TEAM DOING THE REVIEW]

    • Names of team members that participated in this review: [FULL NAMES OF TEAM MEMBERS DOING THE REVIEW]

    • Describe the goal of the project.

    • Describe the data used or collected, if any. If the proposal does not include the use of a specific dataset, comment on whether the project would be strengthened by the inclusion of a dataset.

    • Describe the approaches, tools, and methods that will be used.

    • Provide constructive feedback on how the team might be able to improve their project. Make sure your feedback includes at least one comment on the statistical reasoning aspect of the project, but do feel free to comment on aspects beyond the reasoning as well.

    • What aspect of this project are you most interested in and would like to see highlighted in the presentation?

    • Were you able to reproduce the project by clicking on Render Website once you cloned it? Were there any issues with reproducibility?

    • Provide constructive feedback on any issues with file and/or code organization.

    • What have you learned from this team’s project that you are considering implementing in your own project?

    • (Optional) Any further comments or feedback?

Review pairings

Your team name Team to review 1 Team to review 2

GIVJA

theoutliers

datadinos

theoutliers

datadinos

theAteam

datadinos

theAteam

flamingos

theAteam

flamingos

thebusybees

flamingos

thebusybees

theelephants

thebusybees

theelephants

GIVJA

theelephants

GIVJA

theoutliers

Your team name Team to review 1 Team to review 2

github_lit

commitment_issue

arctic_coders

commitment_issue

arctic_coders

rendeers

arctic_coders

rendeers

syntax_samurai

rendeers

syntax_samurai

kraft_kings

syntax_samurai

kraft_kings

mission_impossible

kraft_kings

mission_impossible

github_lit

mission_impossible

github_lit

commitment_issue

Your team name Team to review 1 Team to review 2

jmeg

3D-coders

BASK

3D-coders

BASK

the_outliers

BASK

the_outliers

debug_divas

the_outliers

debug_divas

dream_team

debug_divas

dream_team

Clustered_Chaos

dream_team

Clustered_Chaos

jmeg

Clustered_Chaos

jmeg

3D-coders

Your team name Team to review 1 Team to review 2

Vermillion_Alligators

Stats_Squad_4F

Devils_R_Us

Stats_Squad_4F

Devils_R_Us

Pickleball

Devils_R_Us

Pickleball

The_DJs

Pickleball

The_DJs

Speedy_Statisticians

The_DJs

Speedy_Statisticians

Blue

Speedy_Statisticians

Blue

Vermillion_Alligators

Blue

Vermillion_Alligators

Stats_Squad_4F

Your team name Team to review 1 Team to review 2

team_great

variable_chaos

saved_by_the_bell_curve

variable_chaos

saved_by_the_bell_curve

edwards_ensemble

saved_by_the_bell_curve

edwards_ensemble

data_jemms

edwards_ensemble

data_jemms

mean_girls

data_jemms

mean_girls

super_cool_team

mean_girls

super_cool_team

data_dorks

super_cool_team

data_dorks

faang_fans

data_dorks

faang_fans

team_great

faang_fans

team_great

variable_chaos

Your team name Team to review 1 Team to review 2

coding-goats

aardvark

ggplotters

aardvark

ggplotters

amee

ggplotters

amee

mjca

amee

mjca

pivot_better

mjca

pivot_better

r-masters

pivot_better

r-masters

coding-goats

r-masters

coding-goats

aardvark

Your team name Team to review 1 Team to review 2

jamm

latte

jada

latte

jada

muchahos

jada

muchahos

statistical-significance

muchahos

statistical-significance

a-team

statistical-significance

a-team

standard-deviants

a-team

standard-deviants

sultans-of-stats

standard-deviants

sultans-of-stats

ranch

sultans-of-stats

ranch

jamm

ranch

jamm

latte

Your team name Team to review 1 Team to review 2

blue-cheese

top-of-the-bell-curve

bluebears

top-of-the-bell-curve

bluebears

codebreakers

bluebears

codebreakers

tidyverse-titans

codebreakers

tidyverse-titans

the-pipe

tidyverse-titans

the-pipe

digital-warriors

the-pipe

digital-warriors

blue-cheese

digital-warriors

blue-cheese

top-of-the-bell-curve

Your team name Team to review 1 Team to review 2

the-data-devils

quarto-crew

blue-dolphins

quarto-crew

blue-dolphins

r-studio-devils

blue-dolphins

r-studio-devils

stats-stars

r-studio-devils

stats-stars

spa-r-kles

stats-stars

spa-r-kles

dyplr-maniacs

spa-r-kles

dyplr-maniacs

tibble-twins

dyplr-maniacs

tibble-twins

the-data-devils

tibble-twins

the-data-devils

quarto-crew

Your team name Team to review 1 Team to review 2

sigma-squad

zebras

states199

zebras

states199

stats-shawties

states199

stats-shawties

data-divas

stats-shawties

data-divas

stats-bros

data-divas

stats-bros

global-variables

stats-bros

global-variables

sigma-squad

global-variables

sigma-squad

zebras

Grading

Peer reviews will be graded on the extent to which it comprehensively and constructively addresses the components of the reviewee’s team’s report.

Only the team members participating in the review during the lab session are eligible for points for the peer review. If you’re unable to make it to lab in person, you should arrange to virtually connect with your team during your lab session.

  • 0 points: No peer review

  • 1 point: Feedback provided is not constructive or actionable

  • 2-4 points: Feedback provided is not sufficiently thorough

  • 5 points: Peer review is constructive, actionable, and sufficiently thorough

Note

The feedback issue will come from one team member on GitHub since you can’t collectively edit an issue. However it must represent the opinions of the entire team. It is not a single team member’s responsibility to provide feedback, they’re just the record keeper for the team.