About

$% The math tutoring center wants some help! They would like a tool to analyze students' attendance so they can more accurately forecast how many tutors they need. The goal is to get them a dashboard that they can upload a csv and play with some premade graphs they can filter.

Next Steps:

• Communicate with tutoring center, ask what functionality they would like to see
• Better cleaning (impute things, try to save some entries)
• Highlight bars in the waterfall graph for selected courses
• Chart that compares distribution by day of the week (like geom_density grouped by week)
• Compare two time periods side by side
• Documentation (as needed)
• Cleaning: Times with 60 means they didn't clock out, remove nulls and tiny clock times (< 1 min-ish)

UI

• Semester filter
• Graphs
  • Histogram by time & # people
  • Boxplot day of the week
• Optional tabs

High-level folders

• TutoringAnalytics - Contains final app. Should only be edited with confidence.
• personal_folders - This folder has a folder named [lastnamefirstnameletter] for each person on the project.
• results - contains the deliverables from the project.
• scripts - contains the useful scripts that contribute to the final app.
• raw_data has files that are smaller than 100mb provided by the client. Note that a data folder can be created in the repository and that it will be ignored for data larger than 100mb.
• derived_data has derived data files. Each script should start from a file in the raw_data or data folder and create an item in this folder. The script that created the derived data object would be in the scripts folder and could have the same name as the derived data object.
• documents contains a folder for the project proposal and any other reference_material.

Starting Place

Here is our day 1 brainstorm: