Data visualization is defined as a graphical representation that contains the information and the data. By using visual elements like charts, graphs, and maps, data visualization techniques provide an accessible way to see and understand trends, outliers, and patterns in data.
In this way, what are the 4 levels of visualization?
These stages are exploration, analysis, synthesis, and presentation.
Moreover, what are the common types of data visualization? There are many types of data visualization. The most common are scatter plots, line graphs, pie charts, bar charts, heat maps, area charts, choropleth maps and histograms.
Keeping this in consideration, what are the three advanced data visualization techniques?
Area chart structure is a filled-in area that requires at least two groups of data along an axis.
- Pie Charts. Pie charts represent a graph in the shape of a circle. …
- Gauges. …
- Heat and Treemaps. …
- Treemap with Levels. …
- Scatter and Bubble Charts. …
- Combinations. …
- 3D charts. …
- 3D Column.