Homework and project for CSC465: Data Visualization from fall 2016 taught by Dr. Brown.
Course description: An introduction to data visualization techniques to enhance the exploration and analysis of large data sets from a wide range of fields including commercial, financial, medical, scientific and engineering applications. Topics include visual encoding of numeric data, graphical integrity and effective visualization design, visualizing distributions and correlation, false-color techniques for feature extraction and enhancement, basic network visualization and graph layout, isosurface generation, geospatial visualization and volumetric rendering techniques. The course explores both existing visualization software packages and code interfaces for data visualization.
This course uses Tableau and R.