Analyze CSV, Excel, JSON, and SQL datasets to generate visual insights and reports.
npx skills add https://github.com/HwFee/AgentProject --skill data-analyst-hwfee
Please help me install this Agent Skill. Skill: data-analyst Source: https://github.com/HwFee/AgentProject/tree/main/skills/data-analyst Command: npx skills add https://github.com/HwFee/AgentProject --skill data-analyst-hwfee
Data analysts often spend hours turning raw data into visuals and comprehensive reports. This Skill streamlines data analysis by providing a repeatable workflow for loading, exploring, and summarizing datasets.
Load a dataset and generate an interactive visualization plus a concise report.
High-intent search queries and answers about installing and using this skill.
You can generate visual insights from a CSV file by loading it into the workflow to produce charts, statistical summaries, and narrative reports using pandas and matplotlib.
Yes, you can run SQL queries directly on datasets. It supports SQL sources alongside CSV, Excel, and JSON formats to facilitate ad-hoc data exploration and KPI reporting.
Yes, this data analysis workflow supports Excel and JSON file formats. It loads, cleans, and processes these files to create visualizations and stakeholder dashboards.
The best way to create a stakeholder dashboard is to load raw data and let the workflow generate interactive visualizations and concise narrative reports using seaborn and matplotlib.
No, you do not need to clean your data beforehand. The workflow includes a data loading and cleaning step to prepare raw datasets before generating statistical summaries and charts.
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