chriskuz / chriskuz/rangers_analysis

Successful Data Sources

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#2 1 comment 0 reactions 0 assignees View on GitHub
enhancement good first issue
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

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