RRepoGEO

REPOGEO REPORT · LITE

CNFeffery/DataScienceStudyNotes

Default branch master · commit 774219e8 · scanned 5/26/2026, 9:17:47 AM

GitHub: 1,395 stars · 454 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface CNFeffery/DataScienceStudyNotes, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    data-science, python, pandas, geopandas, dash, jupyter, keplergl, duckdb, tutorials, code-examples, study-notes, learning, web-development, data-visualization
  • highreadme#2
    Reposition the README's opening statement to clarify purpose and audience

    Why:

    CURRENT
    :dart: 这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容
    COPY-PASTE FIX
    :dart: 本仓库汇集了“数据科学学习手札”系列博客的所有代码、数据及相关附件，旨在为数据科学爱好者和学习者提供Python数据分析、空间数据分析（geopandas）、交互式Web应用开发（Dash）等领域的实用代码示例和学习资源。
  • highlicense#3
    Add a LICENSE file or clarify licensing in README

    Why:

    COPY-PASTE FIX
    Create a LICENSE file with your chosen license (e.g., MIT, Apache-2.0) or add a clear statement to the README, such as "本仓库所有内容遵循 [具体许可证名称] 协议。" (All content in this repository follows the [Specific License Name] license.)

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface CNFeffery/DataScienceStudyNotes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle · recommended 1×
  2. Towards Data Science · recommended 1×
  3. scikit-learn/scikit-learn · recommended 1×
  4. pandas-dev/pandas · recommended 1×
  5. Real Python · recommended 1×
  • CATEGORY QUERY
    Where can I find practical code examples and tutorials for Python data science?
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. Towards Data Science
    3. scikit-learn (scikit-learn/scikit-learn)
    4. Pandas (pandas-dev/pandas)
    5. Real Python
    6. DataCamp
    7. PyTorch (pytorch/pytorch)
    8. TensorFlow (tensorflow/tensorflow)

    AI recommended 8 alternatives but never named CNFeffery/DataScienceStudyNotes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking guidance on developing interactive web applications for data visualization in Python.
    you: not recommended
    AI recommended (in order):
    1. Plotly Dash
    2. Streamlit
    3. Panel
    4. Voila
    5. Flask
    6. Django
    7. D3.js
    8. Plotly.js
    9. Chart.js
    10. PyWebIO

    AI recommended 10 alternatives but never named CNFeffery/DataScienceStudyNotes. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of CNFeffery/DataScienceStudyNotes?
    pass
    AI did not name CNFeffery/DataScienceStudyNotes — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts CNFeffery/DataScienceStudyNotes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CNFeffery/DataScienceStudyNotes explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo CNFeffery/DataScienceStudyNotes solve, and who is the primary audience?
    pass
    AI did not name CNFeffery/DataScienceStudyNotes — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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