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conormcdevitt/Hackathon2-Team-3

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active 2025-02-052025-06-13 (UTC)

Complete coverage26,637 / 26,637 hourly files (100%) · 2 absent upstream2023-08-152026-08-28 (UTC)
Events
165
Pushes
34
Pull requests
47
Issues
53
Stars
0
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 129 days from 2025-02-05 to 2025-06-13. Pushes: 34 total, peak 15 in a day. Pull requests: 47 total, peak 20 in a day. Issues: 53 total, peak 16 in a day. Comments: 21 total, peak 6 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
conormcdevitt7823243
Mukti-M5561213
tamikamqhum195103
UmmH33012

Recent activity

Latest issues, pull requests and releases

  • Issue#65conormcdevitt2025-03-17 15:26
    create dashboard using streamlit
  • Issue#61conormcdevitt2025-03-17 15:21
    Highlight challenges and improvements that were made throughout the project
  • Issue#63conormcdevitt2025-03-17 14:11
    Complete readme file
  • Issue#59conormcdevitt2025-03-14 15:04
    Dashboard development
  • Issue#63conormcdevitt2025-03-13 15:55
    Complete readme file
  • Issue#60conormcdevitt2025-03-13 15:52
    Document key findings
  • Issue#62conormcdevitt2025-03-13 15:52
    Prove/disprove hypotheses highlighted in the readme
  • Issue#58conormcdevitt2025-03-13 15:51
    Identify hypotheses to test
  • Issue#57conormcdevitt2025-03-13 15:51
    Make basic data visualisations using Plotly
  • Issue#54conormcdevitt2025-03-12 12:19
    Make first jupyter notebook and perform EDA
  • Issue#59conormcdevitt2025-03-11 17:55
    Dashboard development
  • Issue#58conormcdevitt2025-03-11 17:53
    Identify hypotheses to test
  • Issue#57conormcdevitt2025-03-11 17:50
    Make basic data visualisations using Plotly
  • Issue#56conormcdevitt2025-03-11 17:48
    Find dataset for project
  • Issue#54conormcdevitt2025-03-11 10:14
    Make first jupyter notebook and perform EDA
  • Issue#52conormcdevitt2025-03-10 22:14
    LO10: Develop plans to implement, maintain, update, and evaluate data analytics projects, applying theoretical knowledge to practical scenarios.
  • Issue#51conormcdevitt2025-03-10 22:13
    LO9: Identify and relate the application of data analytics across various domains.
  • Issue#50conormcdevitt2025-03-10 22:13
    LO8: Communicate complex data insights to both technical and non-technical audiences.
  • Issue#49conormcdevitt2025-03-10 22:12
    LO7: Design and outline independent research projects in data analytics, showing an understanding of various research methodologies.
  • Issue#48conormcdevitt2025-03-10 22:12
    LO6: Assess ethical considerations, data privacy, and governance in data analytics practices, understanding the legal and social implications of data handling.
  • Issue#47conormcdevitt2025-03-10 22:11
    LO5: Implement effective data management practices, covering data collection, cleaning, storage, and processing,
  • Issue#46conormcdevitt2025-03-10 22:11
    LO4: Demonstrate Jupyter Notebook usage for data analysis, enhanced by AI assistant.
  • Issue#45conormcdevitt2025-03-10 22:10
    LO3: Analyse real-world problems using data analytics methodologies.
  • Issue#44conormcdevitt2025-03-10 22:10
    LO2: Apply practical skills in manipulating, analysing, and interpreting data using popular data science tools and the Python programming language.
  • Issue#43conormcdevitt2025-03-10 22:09
    LO1: Apply the core principles and theories of data analytics, including statistics, probability, and basic data analysis techniques.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.