Apply C++ Graphics to Visualize Pandemic Population Data

Learners will be able to analyze real-world population data, apply C++ graphics libraries, construct scalable graph frameworks, and evaluate visual outputs for accuracy and clarity. This course provides a practical, project-driven approach to mastering C++ graphics programming through the development of a complete pandemic statistics graph plotting application. Instead of focusing on isolated concepts, learners build a real graphical solution step by step—starting from project planning and graphics initialization to axis creation, data scaling, plotting, and final testing. By completing this course, learners gain hands-on experience in data visualization using C++, strengthening their ability to transform numerical data into meaningful visual insights. The course emphasizes logical thinking, graphical coordinate mapping, and clean implementation practices commonly used in technical and academic projects. What makes this course unique is its end-to-end practical workflow, combining data handling, visualization principles, and software validation into a single coherent project. Ideal for students and aspiring developers, the course bridges the gap between theoretical C++ knowledge and real-world graphical application development, helping learners build confidence and portfolio-ready skills in C++ programming and data visualization

• Analyze real-world population data and map values accurately to graphical coordinates in C++
• Build scalable graph frameworks using C++ graphics libraries for data visualization
• Evaluate and refine graphical outputs to ensure clarity, accuracy, and meaningful visual insight

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work