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data-visualizer

Generate marketing charts and dashboards from CSV data using Python.

145|28|Updated Jan 31, 2026
Search Tags:#data visualization#dashboards#charts#reporting#csv#marketing data
One-click install
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill data-visualizer-guia-matthieu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-visualizer
Source: https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/data-visualizer
Command: npx skills add https://github.com/guia-matthieu/clawfu-skills --skill data-visualizer-guia-matthieu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires plotly, pandas, click, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation of charts and dashboards from CSV data, making it easier to present and understand marketing performance.

Core Features & Use Cases

  • Chart Generation: Create various chart types (bar, line, pie, scatter) from your data.
  • Dashboard Creation: Generate a summary dashboard with key metrics.
  • Use Case: Visualize monthly revenue trends from a data.csv file to present campaign performance in a report.

Quick Start

Use the data-visualizer skill to create a bar chart of revenue by month from the file data.csv.

Frequently Asked Questions about data-visualizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create marketing dashboards from CSV data?▼

To create marketing dashboards from CSV data, you can use scripts that leverage pandas for data manipulation and plotly to generate visual summaries of key campaign metrics. This approach automates chart creation for reports.

Can I generate multiple chart types like bar and pie charts from a CSV file?▼

Yes, you can generate bar, line, pie, and scatter charts from a CSV file. The process uses Python scripts to transform marketing data into various visual formats for campaign performance reporting.

Do I need Python and plotly installed to visualize campaign performance?▼

Yes, you need Python with plotly, pandas, and click installed. Pandas handles the CSV data manipulation, plotly renders the charts, and click provides the command-line interface to execute the scripts.

What is the best way to automate report generation for monthly revenue trends?▼

Automating report generation for monthly revenue trends is best achieved by running Python scripts that process a data CSV file. This method automatically produces visual charts and dashboards to visualize campaign performance.

Are there limitations when using pandas for marketing data visualization in reports?▼

A limitation when using pandas for marketing data visualization is that the Skill provides basic chart generation and dashboard creation. It requires structuring your CSV data correctly before running the command-line scripts to ensure accurate reporting.

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