Guidelines for Data Visualization

A series of flashcards focused on key terms and concepts related to data visualization and effective communication through figures.

Data Visualization

The representation of data in a graphical format to make complex data more accessible, understandable, and usable.

Correlation Matrix

A table showing correlation coefficients between variables, often used to identify relationships between data sets.

Box Plot

A standardized way of displaying the distribution of data based on a five-number summary: minimum, first quartile (Q1), median, third quartile (Q3), and maximum.

Scatter Plot

A diagram where each value in the dataset is represented by a dot, used to observe relationships between variables.

Histogram

A graphical representation of the distribution of numerical data, showing the number of data points that fall within a specified range.

Effective Communication

The ability to convey information clearly and understandably through figures and visual representations.

Guidelines for Good Figures

Recommendations for creating effective data visualizations, including purpose, composition, color, and clarity.

Purpose of Data Visualization

To enable viewers to see the big picture, compare values rapidly, observe patterns and relationships, and convey a clear message.

Color Usage in Graphs

The strategic application of color to enhance understanding and focus viewer attention on important information.

Clarity in Visualization

The ease with which the viewer can understand the information presented in the figure, ensuring that the main message is conveyed without confusion.