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Data Visualization

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Benjamin Hapka
Benjamin Hapka

Charts help you tell accurate and convincing stories around data with beautiful and accessible visualizations.

Chart types
- Start by identifying the purpose of the visualization and then choose the appropriate chart type.

Chart anatomy
- The elements constructing each chart are designed to work in harmony. Each piece plays an important role in data communication.

Basic charts
-Basic charts offer a way to visualize data sets in an intuitive, easy to understand way. Every chart should tell a story and should reflect the content on the page where it is found.

Advanced Charts
- Advanced charts are a powerful way to display complex data sets. While less intuitive than basic charts, the visualizations should still tell a story the user can understand.

Color palettes
- The color palette for data visualizations is a select subset of the IBM Design Language color palette. It is designed to maximize accessibility and harmony within a page.

Axes and labels
- Axes and labels provide a critical context for the information within a chart. Use simple, easy-to-understand descriptors and metrics to label your chart and axes.

Legends
- Legends summarize the distinguishing visual properties such as colors or texture used in the visualization. A legend or key helps the user build the necessary associations to make sense of the chart.

Dashboards
- Context is everything. Dashboards will vary widely depending on the context they are designed for and must be carefully considered.

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