Query SQL databases, clean data, and generate visual reports.
npx skills add https://github.com/SJTU-IPADS/SkVM-data --skill data-analyst-sjtu-ipads
Please help me install this Agent Skill. Skill: data-analyst Source: https://github.com/SJTU-IPADS/SkVM-data/tree/main/skills/data-analyst Command: npx skills add https://github.com/SJTU-IPADS/SkVM-data --skill data-analyst-sjtu-ipads
## What problem does it solve? Data teams frequently struggle to transform disparate data sources into trustworthy insights, wasting time on manual preparation. This Skill provides an integrated kit for cleaning, exploring, visualizing, and reporting analytics.
## Core Features & Use Cases
### Quick Start Provide your data sources, define your goals, and specify the desired outputs to kick off automated analysis and reporting.
High-intent search queries and answers about installing and using this skill.
To clean and analyze raw data, you use integrated scripts to process CSV/Excel spreadsheets and extract data via SQL querying across SQLite, MySQL, and Postgres databases. This workflow transforms disparate inputs into high-quality datasets for descriptive analytics.
The best way to automate reporting and data visualization is by defining your data goals and specifying desired outputs. Configurable scripts generate automated visualizations and consolidated reports, turning validated data into actionable insights for stakeholders without manual preparation.
Yes, you can use pandas dataframes to process CSV and Excel inputs. The Skill supports spreadsheet and dataframe processing to handle data cleaning tasks, ensuring your raw data is transformed into a trustworthy format ready for exploration and reporting.
Yes, the SQL querying workflow supports MySQL, Postgres, and SQLite databases. It enables data extraction, validation, and experimentation directly across these relational database systems to consolidate disparate data sources for analysis.
You turn disparate data sources into trustworthy insights by providing your data sources and goals to automated scripts. The system handles data cleaning, exploration, and visualization, eliminating manual preparation time and generating consolidated reports.
louloulinAnalyze raw datasets from CSV, Excel, and SQL sources with Python.
zzafergokConvert raw analytics into data-driven narratives for stakeholder presentations.
CompSci-SquadPerform advanced analytics, predictive modeling, and statistical modeling for data science tasks.
Venkateshvenki404224Generate SQL-based and Python-based custom reports for Frappe applications.
