Types of visualisations

 Types of visualizations 

The most common categories of data visualization are graph, charts and maps. By choosing the right type of visualization for your data, you can reveal insights, tell a story, and guide decision-making. 

some examples of types of visualization:

Pivot tables-  pivot tables aren’t always the most visually inspiring form of data , they are useful in the right context. For instance, highlight tables, as shown in the image, use different shades or colors to easily flag the highest and lowest values in a dataset.

Scatter-plot- also known as a scatter-graph, scatter-gram, or scatter chart displays the relationship between two variables on an x- and y-axis. Each item of data is shown as a single point, creating the chart’s visual ‘scatter’ effect. When there are three interrelated data points.

line graphs - Line graphs, or line charts, are a simple but effective staple for representing time-series data. They are visually similar to scatter-plots but represent data points separated by time intervals with segments joined by a line. This allows for quick observation of features like acceleration when the line goes up, deceleration when the line goes down, and volatility when the line moves up and down erratically.

https://careerfoundry.com/en/blog/data-analytics/data-visualization-types/