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YShutko/CodeInstitute_Project1_BankChurners

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In this repository the first project of "Data Analytics with AI" is presented

active 2025-09-112025-09-16 (UTC)

Complete coverage26,638 / 26,638 hourly files (100%) · 2 absent upstream2023-08-152026-08-28 (UTC)
Events
53
Pushes
18
Pull requests
0
Issues
33
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 6 days from 2025-09-11 to 2025-09-16. Pushes: 18 total, peak 15 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 33 total, peak 25 in a day. Comments: 0 total, peak 0 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
YShutko511800

Recent activity

Latest issues, pull requests and releases

  • Issue#22YShutko2025-09-12 14:47
    Draft backlog and user stories
  • Issue#19YShutko2025-09-12 08:33
    Map business requirements to visualisations
  • Issue#14YShutko2025-09-12 07:56
    Explore inactivity patterns with histograms & boxplots
  • Issue#23YShutko2025-09-12 07:56
    Write README file
  • Issue#11YShutko2025-09-12 07:56
    Plot churn distribution (Attrition_Flag)
  • Issue#13YShutko2025-09-12 07:55
    Visualise churn by card category
  • Issue#9YShutko2025-09-12 07:55
    Inspect dataset shape, types, and missing values
  • Issue#8YShutko2025-09-12 07:55
    Import the BankChurners dataset into the workspace
  • Issue#22YShutko2025-09-11 18:38
    Draft backlog and user stories
  • Issue#23YShutko2025-09-11 18:38
    Write README file
  • Issue#21YShutko2025-09-11 18:38
    Define hypotheses and results
  • Issue#20YShutko2025-09-11 18:38
    Write project conclusion & key findings
  • Issue#17YShutko2025-09-11 18:38
    Build difference heatmap to highlight shifts
  • Issue#16YShutko2025-09-11 18:38
    Split by churn (Existing vs. Attrited) and generate subgroup heatmaps
  • Issue#14YShutko2025-09-11 18:38
    Explore inactivity patterns with histograms & boxplots
  • Issue#15YShutko2025-09-11 18:38
    Create correlation heatmap for all numerical features
  • Issue#8YShutko2025-09-11 18:38
    Import the BankChurners dataset into the workspace
  • Issue#7YShutko2025-09-11 18:35
    User Story: Senior Executive
  • Issue#1YShutko2025-09-11 18:28
    User Story: Analytics
  • Issue#2YShutko2025-09-11 18:28
    User Story: Data Analyst
  • Issue#19YShutko2025-09-11 18:26
    Map business requirements to visualisations
  • Issue#18YShutko2025-09-11 18:26
    Summarise findings from each visualisation
  • Issue#16YShutko2025-09-11 18:26
    Split by churn (Existing vs. Attrited) and generate subgroup heatmaps
  • Issue#12YShutko2025-09-11 18:25
    Visualise churn across demographics (gender, marital status, education, income)
  • Issue#8YShutko2025-09-11 18:25
    Import the BankChurners dataset into the workspace

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.