
exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across
by davila7Free
Description
exploratory-data-analysis is an agent skill from the davila7 claude-code-templates collection, listed on skills.sh. It performs an exploratory data analysis of scientific data files across more than 200 file formats, in several domains. The skill detects the type of each file automatically, then runs analysis specific to that format, extracting metadata and assessing data quality and integrity. It reports statistical summaries and distributions, suggests visualisations and points to downstream analyses that the data could support. The results are written as a markdown report, which is suitable for documentation and for planning the next analysis. The skill's own text says when to use it, so the agent loads it for work on scientific data files rather than for general coding. It suits researchers and data scientists who receive an unfamiliar scientific data file and need a first report on what is in it before they start modelling.…
Highlights
- Detects 200+ scientific file formats
- Format-specific metadata extraction
- Data quality and integrity assessment
- Markdown report with next-step suggestions
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exploratory-data-analysis FAQ
What does the exploratory-data-analysis skill do?
It analyses scientific data files in more than 200 formats and writes a markdown report on their contents and quality.
How do I install it?
Run: npx skills add https://github.com/davila7/claude-code-templates --skill exploratory-data-analysis
What does the report contain?
Format-specific metadata, data quality findings, statistical summaries, visualisation suggestions and downstream analysis ideas.
Which formats are covered?
The skill says it detects 200 or more scientific file formats across multiple domains.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best exploratory-data-analysis alternatives?
Popular alternatives to exploratory-data-analysis include deep-research, earnings-analysis and initiating-coverage. See all exploratory-data-analysis alternatives






