Types of Visualisation

 Types of Visualisation


Today, we covered how data can be presented visually. I have spoken about how data is used to draw conclusions and make predictions, however, I haven't yet discussed how data can be visualised to draw these conclusions. It would be impossible to understand vast data through numerical spreadsheets of data or even just large stores of unorganised data. This is why it's important to use data visualisation.

Data visualisation is the graphical representation of data. We can use charts, graphs, maps, and other visualisation tools to see and understand trends, patterns and outliers.
Some examples are:

Tables
These are a collection of related data organised in columns and rows.

Graphs
These are diagrams that show the relationship between variables across two axes.
Maps
These are diagrams to display location data in their geographic locations.
Infographics
These are representations of information or data in a graphic format to make the data easily understandable.


Dashboards
These are similar to infographics, they are engaging representations of data that are presented in a single, clear display, usually covering multiple data sets or perspectives.











Sources
https://www.tableau.com/en-gb/learn/articles/data-visualization


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