With a variable:
With two variables:
- Boxplot
- Scatterplot and variants
- violin plot
- 2D density plot
With three (or more) variables:
A single variable:
Two (or more) variables:
Data visualization (dataviz) is the graphical representation of information and data. Using visual elements such as charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.
As the “age of Big Data” shifts into high gear, visualization is an increasingly essential tool for making sense of the trillions of rows of data generated every day. Data visualization helps tell stories by organizing data in an easier-to-understand form, highlighting trends and outliers.
A good visualization tells a story, removing the noise from the data and highlighting useful information. However, it's not as simple as dressing up a chart to make it look better or tapping on the "info" part of an infographic. Effective data visualization is a delicate balance between form and function.
The simplest graphic might be too boring to grab attention or make a powerful point; the most mind-blowing visualization could totally fail to convey the right message or it could say a lot. Data and visuals need to work together, and it's an art to combine great analysis with great storytelling.
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