This document contains documentation and guidelines about the group project. You are expected to perform analysis with R on a real data set about Turkey and present your findings on your Group Progress Journals using RMarkdown and Shiny. At the end of the group project you are expected to prepare a full report about your data and do a 15-minute presentation in class.
Final deadline is strict but you will be able to revise your final project document.
Use .RData (or rds) format to store your preprocessed data. And give explicit link to your RData file in your GPJ and in your reports.
Don’t forget to provide link of your Shiny apps on shinyapps.io in your GPJ
Important! Add Key Takeaways section to the top. It should contain no less than 3 and no more than 5 bullet points about your study. Key items include what is the topic and data used (link to both source raw data and analysis data), what aspects are important and what results are interesting, finally what is the main outcome.
BONUS: Prepare a 30 second teaser about your project to be published in your GPJs. Put the video file on your repository and on Youtube. Provide a link (or embed) in your GPJ.
Recommendation: For videos you can use Zoom’s screen recording. It is simple and high quality enough.
About your GPJ’s. Please keep them clean and in a good UX order. A good example is https://pjournal.github.io/mef04g-rhapsody/. Also, you can always improve.
A general note about reports: Unfortunately, almost nobody (except me) is going to read your report thoroughly but they will read your Key Takeaways and your first (perhaps first two) graphs. They will also share your work according to this basis. So make them good, rest is mainly content and learning experience.
Add more content to your analysis. Explain in not just code and plots but also in words. Make code available but collapsible if possible. (example:[https://mef-bda503.github.io/gpj18-first/fiRst_Final.html](https://mef-bda503.github.io/gpj18-first/fiRst_Final.html))
Upload your presentation to your GPJ. Consider going {xaringan}. Adding a pdf version is recommended.
State clearly who the group members are and either give a link to your progress journals or Linkedin profiles.
Put a small paragraph explaining your project in your GPJs right under its title section. Example on hypothetical ISBIKE project.
Group Project: ISBIKE Analysis
We use bicycle station and utilization data of Istanbul Metropolitan Municipality bicycle services ISBIKE. Main objective of our analysis is to find out actionable insights about the placement and replenishment of bikes. These insights might help the municipality with their ISBIKE expansion plans to new locations and improve their services.
Important! Presentation Rehearsals You need to submit a rehearsal video by Dec 28, 2020 23:59 (strict). 10% of your project points will come from rehearsal videos. There are two prerequisites. It should be under 10 minutes (strict) and it should cover most of your actual presentation. This is a rehearsal so you don’t need to care much about perfection. Try to make it look good but do not spend a lot of time on retakes. Send videos directly to my email. It is not required to publish them on your GPJ (but it is allowed if you want to).
shiny::runGitHub function and deploy it to shinyapps.io (one per group is enough).About data preprocessing
Some data sets need to be preprocessed before they are ready to analyze and it can take more than some steps from raw data (xlsx, csv etc.) to input data (preferable RData). Then you can start your analysis from a clean input data.
So, you need to provide a preprocessing section or create a separate preprocessing document and give a link to it in your reports. It is up to you. It is recommended to create a separate document and start analysis with a clean RData file if your preprocessing requires some effort.
Both files should be accessible directly and explicit links should be provided.
It is also recommended to use eval/echo (which is explained during the lecture) trick to avoid hardcoded absolute paths (e.g. instead of C:/MyName/MyDocuments/myfile.csv we shall see pjournal.github.io/mygroup/myfile.csv).