🧠 Mindplot Feedback & Manual

Turn your data into beautiful, publication‑quality plots — fast. File issues here for bugs and feature ideas.

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🔗 Quick Navigation

• ✨ Overview
• 🧭 Main Workflow
• 📊 Supported Plot Types
• 🎛️ Adjustable Parameters
  • Text & Labels
  • Axes
  • Legend
  • Colors & Styles
  • Figure & Background
• 🐞 Report a Bug
• 💡 Request a Feature

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✨ Overview

Mindplot is an AI‑assisted visualization tool that generates charts from your data and prompt, with a powerful design panel for fine‑tuning.

⚡ Rapid	🧩 Flexible	🎨 Polished
Generate plots in seconds with curated or inferred instructions.	Choose a plot type or let Mindplot pick; refine via parameters.	Export high‑quality images and SVG with consistent styling.

💡 Tip: Selecting a specific plot_type uses curated instructions (no RAG), yielding more predictable results within that family.

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🧭 Main Workflow

1. Upload your dataset (CSV/table) or start from an existing session.
2. (Optional) Pick a plot_type to guide generation.
3. Write a prompt describing the visualization you want.
4. Generate — review outputs (image + code) from one or more models.
5. Refine using the design panel (labels, limits, fonts, legend, colors, size).
6. Export the image/SVG and save the session for future edits.

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📊 Supported Plot Types

bar · beeswarm · box · bubble · chord · column · density · dot · dumbbell · heatmap · line · network · pie · radar · regression · scatter · venn · violin · tree

🧭 Variants (examples): stacked_bar, histogram, donut, dendrogram, timeseries, confusion_matrix, KDE, ridgeline, ROC curve, survival curve, connected scatter, stacked area, 3D variants.

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🎛️ Adjustable Parameters

Text & Labels

• title, x_label, y_label
• title_font_size (6–72), font_size (6–72)
• font_family (e.g., Arial, Times New Roman)
• font_color (hex, rgb, or named color)
• Visibility: hide_title, hide_x_label, hide_y_label

Axes

• Limits: x_min, x_max, y_min, y_max
• Tick spacing: x_span, y_span
• Rotation: x_rotation_angle (−180 to 180), y_rotation_angle (−180 to 180)

Legend

• show_legend (boolean)
• legend_position: best, upper right, upper left, lower left, lower right, right, center left, center right, lower center, upper center, center

Colors & Styles

• color_palette: hls, husl, deep, muted, bright, pastel, dark, Set1, Set2, Set3, Pastel1, Pastel2, tab10, viridis, plasma, inferno, magma, cividis
• custom_colors: ["#FF6B6B", "#4ECDC4", ...]
• plot_style: default, seaborn, paper, ggplot, grayscale
• tick_color

Figure & Background

• figure_width, figure_height (subject to app limits)
• background_color: white or transparent
• Optional: grid / show_grid (boolean), grid_alpha (0–1)

📌 Updates after generation require the plot_id returned by the generate step.

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🐞 Report a Bug

Open an issue using the Bug template and include:

• Steps to reproduce and expected vs. actual behavior
• Minimal dataset or schema, plus screenshots/SVG if relevant
• Environment (OS, browser, app version/commit) and any console/network logs
• Plot context: selected plot_type (if any), prompt, key parameters changed

💡 Request a Feature

Use the Feature Request template and describe:

• The problem you want to solve and the impact
• Your proposed solution and potential alternatives
• Example plots/datasets where this helps; mockups welcome

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Made with ❤️ for data practitioners. Have an idea? Open an issue.

📧 Contact: mindplot@cosinx.com