Skip to content
GitHub Explorer

Kanangnut

View on GitHub ↗

active 2023-08-19 → 2025-12-10 (UTC) · 62 repositories

Complete coverage26,449 / 26,449 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-21 (UTC)
Events
725
Pushes
660
Pull requests
0
Issues
1
Reviews
0
Repositories
62

Activity over time

Daily event counts in the loaded window

Line chart, 845 days from 2023-08-19 to 2025-12-10. Pushes: 660 total, peak 83 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues

Pull requests and issues are under-captured in the later part of this window. GH Archive progressively stopped recording non-push events during 2026 — −95% or worse by the end of the window. A decline in those two series reflects the archive rather than this account. Pushes stay reliable throughout, so read them as the real signal. Data health has the measurements.

Repositories worked on

Ranked by contributions — pushes, PRs, issues, reviews and comments, so stars and forks do not inflate the list · top 50

RepositoryContributionsPushesPRsIssuesCommentsLast seen
Kanangnut/top-th-youtubers-20241041040002024-08-05
Kanangnut/codesingnal-python90900002024-04-21
Kanangnut/Music-Store-Database-Analysis81810002024-08-14
Kanangnut/ETL-pipeline-using-Pandas-in-Python47470002024-08-23
Kanangnut/kanangnut.github.io44440002025-02-27
Kanangnut/PowerBI-Visualization40400002024-09-07
Kanangnut/DataAnalystPortfolio34340002024-08-24
Kanangnut/Paris-Olympic-2024-Dashboard-Analysis22220002024-09-03
Kanangnut/HR-Analytics-Absenteeism-SQL17170002024-04-19
Kanangnut/Credit-Card-Transactions-Fraud-Detection15150002024-08-29
Kanangnut/Stock_Market_Predictions_ML_LSTM_Statistical_Analysis14140002023-09-28
Kanangnut/Python-Pandas-Data-Science-Task-SalesAnalysis11110002024-08-23
Kanangnut/Kanangnut10100002025-12-10
Kanangnut/Machine-Learning-End-to-End-Project-using-Python-and-Jupyter-notebook-10100002024-04-27
Kanangnut/Machine-Learning-project-forecasting-Olympic-medal-counts10100002024-08-24
Kanangnut/Realtime-Data-Streaming-End-To-End-Data-Engineering-Project770002024-03-01
Kanangnut/EDA-Credit-Classification-Using-ML770002024-08-24
Kanangnut/MyPortfolio770002024-09-03
Kanangnut/Airline-Satisfaaction-SQL660002024-04-13
Kanangnut/Paris-Olympic-Dashboard-Analysis660002024-08-29
Kanangnut/Airline-Satisfaction-Analysis-SQL660002024-08-23
Kanangnut/Sale-Superstore-Data-Analysis-use-Tableau-and-DAX660002024-05-10
Kanangnut/RESTAPI-to-MySQL-database-using-Python550002024-04-20
Kanangnut/Airline-Satisfaction-SQL440002024-04-13
Kanangnut/Stock-Predict-With-LSTM-Next-90Days440002024-08-23
Kanangnut/Netflix-Userbase-data-analysis-Python440002024-08-23
Kanangnut/Python-Sentiment-Analysis-with-NLTK-Transformers-Pipeline440002024-08-23
Kanangnut/Machine-Learning-End-to-End-Project-using-Python-and-Jupyter-notebook440002024-04-27
Kanangnut/SQL-Excel-Tableau-Exercise330002024-04-13
Kanangnut/Inflation-vs-Commodity-Prices-Gold-WTI-and-Brent330002024-08-23
Kanangnut/Fred-Data-Analysis-Project-with-API-Python330002024-08-23
Kanangnut/top-thailand-youtubers-analysis-2024330002024-07-02
Kanangnut/Stock-in-Nasdaq100-after-Rebalance-Predicting330002024-08-23
Kanangnut/Data-Analysis-BikeStore-SQL-Excel-Tableau330002024-04-19
Kanangnut/Source-for-Hack-Tableau-Public220002024-04-30
Kanangnut/Sale-Superstore-Data-Analysis-use-Tableau-public-and-DAX220002024-05-10
Kanangnut/Covid19-Analytics220002024-09-03
Kanangnut/Stock-Predict-With-LSTM220002024-04-27
Kanangnut/Pipeline_with_Python110002023-09-29
Kanangnut/Inflation-Gold-WTI-Brent-Prediction110002024-08-23
Kanangnut/ETL-pipeline-using-Pandas-in-Python-110002023-11-24
Kanangnut/Natural-Language-Processing-NLP-Transformer110002024-08-23
Kanangnut/EDA_Credit_Classification-Using_ML110002023-10-01
airscholar/e2e-data-engineering100102024-02-20
Kanangnut/End-to-End-Machine-Learning-Model-Deployment110002024-08-23
Kanangnut/Comprehensive-Data-Preprocessing-with-Custom-Transformers-and-Pipelines110002024-08-23
Kanangnut/RESTAPI-to-MySQL-database-Python110002024-04-21
Kanangnut/Stock-Market-Predictions-ML-LSTM-Statistical-Analysis110002024-08-24
Kanangnut/Pipeline_in_Python110002023-09-29
Kanangnut/Simple-Pipeline-in-Python110002024-08-23

Works with

People who contribute to the same repositories, ranked by how many they share · automation excluded, or every account would appear to work with everyone

ContributorShared reposRepositories in common
ElNino94951
airscholar/e2e-data-engineering
NikhilLIv1
airscholar/e2e-data-engineering
Ram4431
airscholar/e2e-data-engineering
TNQT141
airscholar/e2e-data-engineering
VuKhoiGVM1
airscholar/e2e-data-engineering
airscholar1
airscholar/e2e-data-engineering
andrewcaoo1
airscholar/e2e-data-engineering
arrismo1
airscholar/e2e-data-engineering
aviravipati1
airscholar/e2e-data-engineering
choonhongyeoh02411
airscholar/e2e-data-engineering
kushagr5381
airscholar/e2e-data-engineering
maidirepelle1
airscholar/e2e-data-engineering
oavioz1
airscholar/e2e-data-engineering
omursnck1
airscholar/e2e-data-engineering
prikshit-20001
airscholar/e2e-data-engineering
teddythinh1
airscholar/e2e-data-engineering
vraj-apto1
airscholar/e2e-data-engineering

Counts cover only the window loaded into ClickHouse and count events, not this account's lifetime totals on GitHub.