What is Data Visualization?
Tables
This consists of rows and columns used to compare variables. Tables can show a great deal of information in a structured way, but they can also overwhelm users that are simply looking for high-level trends.
Pie Charts and Stacked Bar Charts
These graphs are divided into sections that represent parts of a whole. They provide a simple way to organize data and compare the size of each component to one other.
Line Charts and Area Charts
These visuals show change in one or more quantities by plotting a series of data points over time and are frequently used within predictive analytics. Line graphs utilize lines to demonstrate these changes while area charts connect data points with line segments, stacking variables on top of one another and using color to distinguish between variables.
Histograms
This graph plots a distribution of numbers using a bar chart (with no spaces between the bars), representing the quantity of data that falls within a particular range. This visual makes it easy for an end user to identify outliers within a given dataset.
Scatter Plots
These visuals are beneficial in reveling the relationship between two variables, and they are commonly used within regression data analysis. However, these can sometimes be confused with bubble charts, which are used to visualize three variables via the x-axis, the y-axis, and the size of the bubble.
Heat Maps
These graphical representation displays are helpful in visualizing behavioral data by location. This can be a location on a map, or even a webpage.
Tree Maps
These graphical representations display hierarchical data as a set of nested shapes, typically rectangles. Treemaps are great for comparing the proportions between categories via their area size.
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