csv▌

Automatically analyzes CSV files and generates comprehensive statistics with intelligent, context-aware visualizations. \n \n Intelligently adapts analysis to data type (sales, customer, financial, operational, survey) by inspecting columns first, then runs relevant analyses without asking \n Generates only applicable visualizations: time-series plots for date columns, correlation heatmaps for multiple numeric columns, distributions for categorical data \n Provides complete output in one respons

Provides expertise in efficient CSV file processing, data cleaning, and transformation. Handles large files, encoding issues, malformed data, and performance optimization for tabular data workflows.

Parse FCS files for flow cytometry data preprocessing, extracting events as NumPy arrays and converting to CSV/DataFrame.

Export Google Sheets spreadsheets as CSV files for backup or local processing. \n \n Requires gws-sheets and gws-drive skills as prerequisites \n Offers three export approaches: retrieve spreadsheet metadata, export via Drive API with MIME type specification, or read sheet values directly in CSV format \n Supports flexible range selection and sheet targeting for granular control over exported data \n

Comprehensive CSV data analysis and visualization engine. Run the script, then use this guide to interpret results and provide insights to users.

Merge multiple CSV or Excel files with intelligent column matching and automatic deduplication. \n \n Performs fuzzy column matching to align headers across files with different naming conventions (e.g., \"firstname\" to \"first_name\", \"e-mail\" to \"email\") \n Detects and resolves duplicate records using configurable strategies: keep first, keep last, keep longest value, or flag for manual review \n Handles schema mismatches, encoding detection, and data type normalization across files \n Ge

This skill enables comprehensive data visualization and analysis for CSV files. It provides three main capabilities: (1) creating individual interactive visualizations using Plotly, (2) automatic data profiling with statistical summaries, and (3) generating multi-plot dashboards. The skill is optimized for exploratory data analysis, statistical reporting, and creating presentation-ready visualizations.

Parse, transform, and analyze CSV files with advanced data manipulation capabilities.