skills.rest
heyixue511-creator
heyixue511-creatorCOMMUNITY
Explore all skills by this author →
GitHub

S15-基础数据分析

Computes statistics on cleaned bibliographic records including authors, journals, years, and keywords.

Updated May 18, 2026
Search Tags:#data analysis#visualization#statistics#literature review#bibliometrics#csv export#web of science
One-click install
npx skills add https://github.com/heyixue511-creator/ai --skill s15-heyixue511-creator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: S15-基础数据分析
Source: https://github.com/heyixue511-creator/ai/tree/main/My-Own-Skills-main/%E6%96%87%E7%8C%AE%E8%AE%A1%E9%87%8F%E5%88%86%E6%9E%90%E6%8A%80%E8%83%BD/S15-%E5%9F%BA%E7%A1%80%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90
Command: npx skills add https://github.com/heyixue511-creator/ai --skill s15-heyixue511-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? After cleaning bibliographic data, researchers need a quick way to verify data integrity and understand the overall distribution of their literature corpus before running deeper bibliometric analyses. ## Core Features & Use Cases - Corpus Statistics: Counts total publications, unique authors, journals, and keywords from cleaned Web of Science plain text files. - Distribution Analysis: Generates journal distribution, annual publication trends, and keyword frequency statistics. - Visualization & Export: Produces bar charts, line charts, or pie charts and optionally exports results as CSV files. - Use Case: After exporting a cleaned dataset from the S14 formatting step, run this analysis to confirm the record count matches expectations and to see which journals and years dominate the corpus. ## Quick Start Analyze the cleaned WoS plain text file exported from S14 and report the total publications, author count, journal distribution, yearly trend, and keyword statistics.

Frequently Asked Questions about S15-基础数据分析

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze cleaned Web of Science data?▼

Provide the cleaned WoS plain text file exported from the formatting step, and the analysis parses each record's fields to compute total publications, author counts, journal distribution, yearly trends, and keyword statistics.

What statistics can I get from bibliometric data?▼

You can obtain total literature count, unique author count, journal counts and distribution, annual publication distribution, and keyword frequency statistics, with optional CSV export and charts.

What input format does bibliometric basic analysis require?▼

The analysis expects a cleaned literature file in Web of Science plain text format, typically produced by a prior data formatting and export step. Records must retain their original field structure for accurate parsing.

Can I export bibliometric statistics to CSV or charts?▼

Yes, the analysis optionally generates CSV statistic files and visualizations such as bar charts, line charts, or pie charts showing journal, year, and keyword distributions.

When should I run basic data analysis in a bibliometric workflow?▼

Run it immediately after data cleaning and formatting to verify record counts and distribution reasonableness. It serves as a validation checkpoint before deeper analyses like keyword burst detection.

Related Skills

Explore More Data & Analytics Skills→
yangqiongyangqiong

Data Cleaning Skill

Cleans raw datasets by handling missing values, duplicates, and data types.

Community
Intermediate
xjtulycxjtulyc
33

openalx-bibliometrics

Retrieve OpenAlex publication metadata and compute bibliometric indices.

Community
Intermediate
dangelesdangeles
6

fact-checker

Cross-reference claims against trusted sources and generate structured verification reports.

Community
Advanced
xjtulycxjtulyc
33

scientometrics

Compute bibliometric indicators and science-network structure from OpenAlex publication data.

Community
Advanced