Data_Visualization
by kaz-kobayashi
Generates EDA reports and data visualizations (PNG) from CSV files using LLM and E2B.
Skill Details
Repository Files
2 files in this skill directory
name: data_visualization description: Generates EDA reports and data visualizations (PNG) from CSV files using LLM and E2B.
Data Visualization Skill
This skill uses an LLM (Gemini) to perform Exploratory Data Analysis (EDA) on a CSV file and generates Python code (matploblib/seaborn) to create relevant visualizations. It executes the code in an E2B sandbox and retrieves the generated plots.
Features
- Automated EDA: Generates a textual summary of insights, data quality issues, and visualization recommendations.
- Code Generation: Creates Python scripts to visualize distributions, correlations, rankings, etc.
- Sandbox Execution: Safely runs the visualization code to produce PNG images.
Usage
Run the visualize.py script.
python .agent/skills/data_visualization/scripts/visualize.py \
--input_csv <csv_file_path> \
--output_dir <output_directory_path>
--input_csv: Path to the CSV file to analyze.--output_dir: Directory whereeda_report.mdand generated images (*.png) will be saved.
Requirements
The environment must have the following variables set:
GOOGLE_API_KEY: For Gemini API.E2B_API_KEY: For E2B Sandbox.
Related Skills
Xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Analyzing Financial Statements
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Data Storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Kpi Dashboard Design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Dbt Transformation Patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Sql Optimization Patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
Anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
Xlsx
Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.
