# TurboWay/bigdata_analyse

大数据分析项目

Repository: https://github.com/TurboWay/bigdata_analyse
Canonical: https://ross.abutalabs.com/products/bigdata_analyse
Language: Python
License: MIT
License Family: permissive
Topics: python, sql, hql
Last push: 2023-04-27T02:55:12+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2077, "days_push": 1224, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5325, forks 781 (observed 2026-08-28T04:09:15.630788+00:00)

## What it is
A collection of hands-on big data analysis projects in Python, SQL, and HQL, each with documentation, datasets, and full pipelines from cleaning to visualization. Covers batch and real-time processing with tools like Hive, Flink, Kafka, pandas, and pyecharts.

## Use cases
- learn big data analysis with real datasets
- practice user behavior analytics on e-commerce data
- build a real-time analytics pipeline with flink and kafka
- practice data cleaning and visualization with pandas and pyecharts
- learn hive sql for offline data analysis
- do a covid-19 data analysis project
- practice machine learning prediction on job market data

## When to choose
- you want guided end-to-end data analysis projects with downloadable datasets
- you are learning python, sql, or hql for data analysis
- you want exposure to both batch (hive, pandas) and streaming (flink, kafka) processing

## When to avoid
- you need a production-ready analytics platform or library
- you need actively maintained code with recent updates
- you need English-language documentation

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, etl, data-visualization, streaming, machine-learning
- domain: data-science, data-visualization, big-data, analytics, tutorials
- platform: python, cross-platform
- tags: jupyter-notebook, hive, flink, kafka, pandas, pyecharts, practice-projects, datasets, chinese, data-engineering

## Member repositories
- TurboWay/bigdata_analyse (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:15.630788+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:58:54.611335+00:00, confidence not recorded.
  - readme: https://github.com/TurboWay/bigdata_analyse (fetched 2026-08-28T04:09:15.630788+00:00, sha d9ddf5086f5f)
- Data as of 2026-08-30T08:39:29.467469+00:00.