This project demonstrates the creation of a spatial grid visualization using R and ggplot2, where data points (circles) are dynamically scaled and colored based on their corresponding attributes. The visualization includes: - Circles arranged in a grid pattern based on provided x and y coordinates. - Sizes calculated dynamically using the formula:
square_size = sqrt(marbles / number) - Custom colors representing categories (bucket_type). - A unified legend showing both bucket types and their corresponding circle sizes.
- Dynamic Circle Scaling: Sizes are computed and normalized to ensure a visually appealing plot.
- Customizable Colors: Each
bucket_typeis assigned a distinct color using a color mapping. - Unified Legend: Combines size and color into a single, clear legend for better interpretability.
The input data (grid_data) includes the following fields:
- bucket_type: A categorical variable representing different types (e.g., A, B, C).
- number: Number of elements to arrange into the grid.
- marbles: The size of the objects used for scaling.
- square_size: Calculated as sqrt(marbles / number), representing the relative size of each circle.
- x and y: Coordinates for arranging the circles in a grid.
The output is a spatial grid plot, where: 1. Circle size represents the relative value of square_size (normalized for display). 2. Circle color represents the bucket_type.
Example: 
This project is licensed under the MIT License. See the LICENSE file for details.