chriskuz / chriskuz/rangers_analysis
Successful Data Sources
- Dominant language
- Jupyter Notebook
- Stars
- 1
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
We need to have a successful source of data income. Ideally have some place to collect that analyzes match statistics as they go live. Want to analyze how the Rangers particularly played within an immediate environment and be able to write scripts that streamline the data collection process for generating useful reports and EDA. Will also want to have a place where we can analyze the season and also analyze the players' contribution to the game. It would also b nice to analyze how the opposing team showed their strengths against our strengths.
We need scripts written and ready to perform by the time the playoffs begin in August.
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, or entry points are named. Start by inspecting the repository's existing notebooks and scripts, then define the data source, live collection scope, Rangers and opponent analyses, and reporting needs. Done means the required scripts and analysis workflow are specified and ready before the stated playoff deadline.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- analytics, data, data-engineering
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100