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Overview

Dume.ai’s chart tools allow you to create interactive visualizations directly from the chat interface. Each chart type has its own dedicated function that can be activated by typing @ in the chat, making data visualization quick and intuitive.
Charts are generated dynamically and can be customized with various styling options and data configurations.

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Chart Types

Pie Chart

Perfect for showing proportions and percentages of a whole dataset.

Line Chart

Ideal for displaying trends and changes over time or continuous data.

Bar Chart

Great for comparing quantities across different categories or groups.

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Activation Method

Simply type @ followed by your chart request in natural language. Dume.ai will automatically select the appropriate chart type and generate it for you. 
@pie_chart Create a pie chart showing our budget breakdown: Sales 45%, Marketing 25%, Development 20%, Support 10%

@pie_chart Show traffic sources: Desktop 60%, Mobile 35%, Tablet 5%
Type @ in the chat to see all available chart options, then describe what you want to visualize in plain English.

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Available Charts

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Pie Chart (@pie_chart)

Creates circular charts showing data as slices of a pie, perfect for displaying percentages and proportions. 
@pie_chart Show budget distribution: Sales 45%, Marketing 25%, Development 20%, Support 10%
pie chart artifact
Common Use Cases:
  • Budget breakdowns
  • Survey results
  • Market share analysis
  • Resource allocation

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Line Chart (@line_chart)

Creates line graphs to show trends, changes over time, or relationships between continuous variables. 
@line_chart Show monthly revenue from Jan to Jun: 12k, 15k, 18k, 16k, 22k, 25k
line chart artifact
Common Use Cases:
  • Time series data
  • Performance tracking
  • Trend analysis
  • Comparative studies

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Bar Chart (@bar_chart)

Creates vertical or horizontal bar charts for comparing quantities across different categories. 
@bar_chart Compare product sales: Product A 120 units, Product B 190 units, Product C 300 units, Product D 500 units
bar chart artifact
Common Use Cases:
  • Category comparisons
  • Survey responses
  • Performance metrics
  • Ranking data

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Quick Reference

  1. Type @ in the chat interface
  2. Choose your chart type (@pie_chart, @line_chart, or @bar_chart)
  3. Describe your data in natural language
  4. Dume.ai automatically generates the chart
Example: @pie_chart Show our team composition: Engineers 60%, Designers 25%, Managers 15%
For Pie Charts:
  • “Show budget breakdown: Category1 40%, Category2 35%, Category3 25%”
  • “Display market share for: Company A 50%, Company B 30%, Company C 20%”
For Line Charts:
  • “Show monthly sales: Jan 100, Feb 150, Mar 200, Apr 180”
  • “Display temperature over the week from Monday to Friday”
For Bar Charts:
  • “Compare team scores: Team A 85, Team B 92, Team C 78”
  • “Show product performance across quarters”
  • Be specific with your data points and labels
  • Include units (%, $, units) when relevant
  • Keep category names short and clear
  • Mention the chart title you’d prefer
  • Specify time periods for trends
Good: @line_chart Show quarterly revenue for 2024: Q1 $50k, Q2 $65k, Q3 $70k, Q4 $80kBetter: @line_chart Create "2024 Revenue Growth" showing quarterly results: Q1 $50k, Q2 $65k, Q3 $70k, Q4 $80k

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Example Workflow

  • Simple Chart
  • Data from Text
  • Trend Analysis
  1. Type @pie_chart in chat
  2. Describe your data: “Show budget: Marketing 40%, Sales 35%, Dev 25%”
  3. Chart generates instantly
  4. Ask for adjustments if needed
You can also just describe what you want to visualize without specifying the chart type, and Dume.ai will suggest and create the most appropriate chart automatically.

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Best Practices

  • Use natural language - Just describe your data in plain English
  • Be specific with data - Include actual numbers, percentages, or values
  • Choose the right chart type - Pie for proportions, line for trends, bar for comparisons
  • Keep labels clear - Use short, descriptive category names
  • Include context - Mention time periods, units, or what the data represents
  • Start simple - Begin with basic descriptions, then ask for refinements
For best results, provide clear data points. If you have complex datasets, consider breaking them into smaller, focused visualizations.