Data Visualization
See Patterns in Your Data that Drive Understanding and Progress
01
Data Visualization Types
Effective data visualization employs visual representations suited to the data type and insights. Common types include tables, charts, graphs, and dashboards incorporating multiple linked views. Each excels at conveying different relationships in the data.
02
Visualization Tools
Open-source libraries like D3.js, ECharts and Vega give analysts flexibility to create highly interactive visualizations for modern web applications. They support customization of visual encodings and interactions across large datasets.
03
Analysis Techniques
Visual discovery and exploration is essential for identifying patterns within data. Techniques include interactive filtering, highlighting relationships, and intuitive navigation of multidimensional data to gain insight.
04
Communicating Insights
The ultimate goal is illuminating key takeaways and driving understanding and action. Context, accessible design, and simplicity guide audiences to insights through deliberate, targeted visual storytelling.

healthcare case 1

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Case study 1

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