createQuickPlots: Quickly Generate Professional-Quality Plot

createQuickPlots empowers you to create with just 1 line of code and quick setup time and generate publication-quality figures.

createQuickPlots is a versatile MATLAB function designed to simplify the process of creating professional-quality plots. Whether you're visualizing multi-depth soil temperatures, comparing health metrics across categories, or showcasing energy production trends, this function helps you generate clear and compelling visualizations with minimal code.Features:

• Supports Multiple Plot Types: Line, scatter, and bar plots.
• Customizable Options: Easily customize axis labels, legends, markers, colors, and more.
• Minimal Code: Generate publication-ready figures in a single line of code.
• Flexible Data Handling: Handles vectors, matrices, and categorical data for versatile plotting.
• Quick Legend and Label Formatting: Add legends and labels effortlessly, with LaTeX support for professional formatting.

Usage Examples:

Here are some examples to get you started:

1. Line Plot – Soil Temperature Variations

days = 1:180;
soil_temperatures = [15 + 5*sin(2*pi*days/180); 12 + 4*sin(2*pi*days/180 + pi/8); 10 + 3*sin(2*pi*days/180 + pi/4)]';
createQuickPlots(days, soil_temperatures, 'line', 'XLabel', 'Day of Growing Season', ...
    'YLabel', 'Soil Temperature (°C)', 'LineWidth', 2, ...
    'MarkerType', 'o', 'MarkerSize', 6, 'Legend', {'10cm', '20cm', '30cm'}, 'lgndTitle', 'Soil depth');

2. Scatter Plot – BMI vs. Cholesterol Levels

num_patients = 150;
bmi = 18 + randn(num_patients, 1) * 5;
cholesterol_levels_low = 180 + bmi * 1 + randn(num_patients, 1) * 10;
cholesterol_levels_medium = 200 + bmi * 2 + randn(num_patients, 1) * 15;
cholesterol_levels_high = 240 + bmi * 3 + randn(num_patients, 1) * 20;
cholesterol_data = [cholesterol_levels_low, cholesterol_levels_medium, cholesterol_levels_high];
createQuickPlots(bmi, cholesterol_data, 'scatter', 'XLabel', 'BMI', ...
    'YLabel', 'Cholesterol Level (mg/dL)', 'MarkerType', 'o', ...
    'MarkerSize', 20, 'Legend', {'Low', 'Medium', 'High'}, 'lgndTitle', 'Risk categories');

3. Bar Plot – Energy Production by Source

years = categorical({'2018', '2019', '2020', '2021', '2022'});
energy_production = [50, 60, 70, 80, 90; 40, 50, 65, 75, 85; 100, 110, 105, 95, 90]';
createQuickPlots(years, energy_production, 'bar', 'XLabel', 'Year', 'YLabel', 'Energy Production (TWh)', ...
    'Legend', {'Solar', 'Wind', 'Fossil Fuels'}, 'ShowValues', true, 'lgndTitle', 'Energy type');

How to Use:

1. Download the createQuickPlots.m file and add it to your MATLAB path.
2. Call the function with your data and desired plot settings.
3. Customize the plot using various options for labels, markers, and legends.

Requirements:

• MATLAB R2016b or later.

Author:

Ayman Ahajjam

License:

This function is available under the MIT License.

Additional Information:

For more examples and detailed instructions, visit the [Medium article link] for a comprehensive overview of createQuickPlots.