Data Visualization Vocabulary

Here are some common terms used in data visualization:

Basic Terms

• Data: Raw, unorganized facts and figures.
• Information: Data that has been processed, organized, and interpreted.
• Visualization: The graphical representation of data.
• Chart: A graphical representation of data.
• Graph: A diagram showing the relation between two or more variables.

Types of Charts and Graphs

• Bar Chart: A chart with rectangular bars representing data.
• Line Chart: A chart with lines connecting data points.
• Pie Chart: A circular chart divided into slices representing proportions.
• Scatter Plot: A chart with points representing data points.
• Histogram: A chart with bars representing the frequency distribution of data.
• Box Plot: A chart showing the distribution of data through quartiles.

Data Visualization Principles

• Clarity: The visualization should be easy to understand.
• Simplicity: The visualization should be simple and not overly complex.
• Relevance: The visualization should be relevant to the data and the story being told.
• Consistency: The visualization should be consistent in its design and style.
• Ethicality: The visualization should not be misleading or deceptive.

Data Visualization Tools

• Tableau: A powerful data visualization and business intelligence tool.
• Power BI: A business analytics service by Microsoft.
• Python: A programming language with libraries like Matplotlib, Seaborn, and Plotly.
• R: A programming language and environment for statistical computing and graphics.

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