▎Common Data Visualization Terms

1. Data Visualization: The graphical representation of information and data, using visual elements like charts, graphs, and maps to make complex data more accessible and understandable.

2. Chart: A visual representation of data, often used to display relationships between variables or trends over time; common types include bar charts, line charts, and pie charts.

3. Graph: A diagram that represents data points and their relationships, typically using axes to plot values; can include various forms like scatter plots and network graphs.

4. Dashboard: An interactive interface that consolidates and visualizes key performance indicators (KPIs) and metrics in one place, allowing users to monitor data at a glance.

5. Heatmap: A graphical representation of data where individual values are represented as colors, often used to show the intensity of data points across two dimensions.

6. Scatter Plot: A type of graph that uses dots to represent the values of two different numeric variables, allowing for the visualization of relationships or correlations.

7. Bar Chart: A chart that presents categorical data with rectangular bars, where the length of each bar is proportional to the value it represents.

8. Line Chart: A type of chart that displays information as a series of data points called 'markers' connected by straight line segments, commonly used to show trends over time.

9. Pie Chart: A circular statistical graphic divided into slices to illustrate numerical proportions; each slice represents a category's contribution to the whole.

10. Legend: An explanatory key that describes the symbols, colors, or patterns used in a chart or graph, helping viewers understand what each element represents.

11. Axis: A reference line in a chart or graph that defines the scale and direction of the data being represented; typically includes both x-axis (horizontal) and y-axis (vertical).

12. Annotation: Additional information or commentary added to a chart or graph to provide context or highlight specific data points or trends.

13. Data Point: An individual value or observation in a dataset, often represented visually in charts or graphs.

14. Trend Line: A line superimposed on a chart that indicates the general direction or trend of the data points, often used in time series analysis.

15. Outlier: A data point that significantly differs from other observations in a dataset, which can skew analysis and visualization results.

16. Histogram: A graphical representation of the distribution of numerical data, showing the frequency of data points within specified ranges (bins).

17. Box Plot (Box-and-Whisker Plot): A standardized way of displaying the distribution of data based on a five-number summary (minimum, first quartile, median, third quartile, maximum).

18. Facet Grid: A grid layout that displays multiple subplots based on different categories or variables, allowing for comparison across various segments of the data.

19. Sankey Diagram: A flow diagram that visualizes the flow of resources or information between entities, with arrows representing quantities and their relationships.

20. Interactive Visualization: Visual representations that allow users to engage with the data through actions like zooming, filtering, or hovering to obtain more information, enhancing user experience and insight discovery.