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Data Visualization

Data visualization transforms data into visual representations like charts, graphs, and dashboards that make data easier to understand and analyze.

Overview

Data visualization involves creating visual representations of data to communicate insights effectively. Good visualizations make complex data accessible and help identify patterns and trends.

Data visualization includes creating charts, graphs, maps, and interactive dashboards using various tools and libraries.

Key Technologies

Libraries

Matplotlib
Seaborn
Plotly
D3.js
Chart.js
Bokeh

Tools

Tableau
Power BI
Observable
Datawrapper

Languages

Key Concepts

Chart Types

Choose appropriate chart types (bar, line, scatter, etc.) based on data and communication goals.

Design Principles

Apply design principles to create clear, effective visualizations that communicate insights.

Interactive Visualizations

Create interactive visualizations that allow users to explore data dynamically.

Dashboard Design

Design dashboards that present multiple visualizations in a cohesive, informative layout.

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