Will mark brainliest data can be displayed in many different ways: using tables, graphs, and equations. what are the benefits and drawbacks of each of these models?

There are many different ways to portray your findings for an individual to view and understand. However, each have their pros and cons.

When using a table, all of the specific numbers of your data can clearly be seen and compared with one another without having to analyze a picture. However, since there is no visual correlation that shows the growth and decline of your data, someone who best comprehends visually may not be able to understand your findings. It sis best to vary your sources of displaying information to make sure that it is all able to be understood by any viewer.

When using a graph, you have a clear visual representation of the correlation of your variables in your experimentation. This allows the viewer to comprehend your data as a picture and see the change as the picture moves. However, it take further analysis and cross referencing to get specific quantitative data as you are required to read across and down the graph.

And finally, when using equations you can show the direct way that the change was caused in your experiment. Each equation has a specific input and output. However, the drawback is the person viewing your data may have to solve the equations themselves to find out your data or simply be confused as equations don’t directly show data, but rather how to find it.

It is important to have a varied combination of these things to allow for your data to be throughly understood by anyone viewing it.

I hope this helps! :)