/DSS_F21_BeeHive

Primary LanguageR

Fall 2021 DSS Beehive project

  • Put data you find in the raw_data folder.
  • Write links to data you find here
  • Brainstorming sheet, click here.
  • Write your insight about data here

Project Description

Beehive Credit Union is to open a new location in Idaho Falls, and needs to decide which region of Idaho Falls (in the NE in cities such as Lincoln and Iona or in the SE in or near Ammon) to build a new branch in. They are deciding based on the current population, number of church members, population growth, church population growth, and car traffic which region to build in. In essence, they are asking which region has more current and especially future potential to determine where they should build a new branch. We can also extend this to other regions if possible.

Schedule

  • Week 1 (Sep 22): Project introduction
  • Week 2 (Sep 29):
    • Brainstorming
    • Initial data collection
    • Everyone encouraged to find one data source by Week 3
    • Get team members onto GitHub and Slack
    • Understand the vision of the project
  • Week 3 (Oct 6):
    • Data collection
  • Week 4 (Oct 13)
    • Data collection and analysis
    • Discuss confidentiality agreement
  • Week 5 (Oct 20):
    • Discuss preliminary results to send to BeeHive
    • Look at safegraph phone data
  • Week 6 (Oct 27)
    • Look at safegraph phone data more
    • Make preliminary results
  • Week 7 (Nov 3)

High-level folders

  • 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 final scripts that built the items in the results folder. Each script should be concise and mapped to the deliverables in the results folder.
  • 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.

Further Action

We need to build out the default guidance in the readme.md in each folder.