A Guide To Charts
What is a Chart? How do I use it?
A chart is a representation of data in the form of a graph, diagram, map, or tabular format. This could make the other two families, Geospatial and Tables, subfamilies of it. We distinguish between them to help you identify when one works better for your data. Consider the most common Charts: Scatterplots, Bar Charts, Line Graphs, and Pie Charts. These chart types, or a combination of them, provide answers to most questions with relational data. They are the backbone of performing visual analysis on non-geospatial data.
Visualizing data with Charts relies on drawing points using cartesian coordinates (Ex. X, Y, Z) based on a set of dimensions and measures. Dimensions (Ex. categories, dates, etc.) group the measures (Ex. profit, deaths, temperature, etc.) for analysis. The measures are then rendered on the corresponding coordinates to create a visualization. Some types of visualizations excel at displaying many dimensions (Ex. Ordered Bar Charts), while others can only support a few with clarity (Ex. Pie Charts).
Each Chart type has its own strengths and weaknesses. But if used well people will understand the data better. When you pay attention to aesthetic conventions you can also make your visualization beautiful. You will combine both form and function to affect the viewer’s perception of the data.
Key types of charts
The table below contains a brief description for the most common types of Charts. As the Reference Library expands in depth and breadth more types will be added and each will have a page dedicated to showing practical examples and explaining when to use them.