Thursday, May 20, 2021

Why use MATLAB? 5 reasons.

 

MATLAB is a tool for analytical computing and graphical visualization in an integrated environment. MATLAB is employed in a variety of ways by lots of people in different disciplines, such as in public policypolitical sciencepublic health, and sociology. Disciplines, not necessarily associated with mathematical application or product. Here are 5 advantages of MATLAB, over other statistical packages.

1.    Plotting Awesome Data Visualization: One of the most important things that we can do with a dataset is to look at it. Good graphic visualization takes time and effort to turn data into insights that can be easily interpreted. MATLAB as a programming package makes it easy to create complex plots from data in a data frame. Its integrated graph editor offers a more dynamic interface for specifying what variables to plot, as well as the overall visual properties. 

2.    Breaking down Dynamic Programming:  Dynamic Programming is a method for solving a complex problem by breaking it down into a collection of simpler subproblems. MATLAB source codes make it easier to solve each of its subproblems and store their solutions using a memory-based data structure. This differentiates it from alternative programming software like GNU Octave and Python, which have relatively complex dynamic programming processes.

3.    Ease of Documentation: Documentation constitutes a record of the statistical activity, including the concepts, definitions, and methods used to collect, process, as well as analyze data and produce statistical products. MATLAB's accuracy stems from its thematic and general documents. Its functions have supporting documentation and keywords along with examples that describe the function inputs in detail.

4.    Walking through a Simulation: The reliability of research projects depends largely on the data analysis process. Amongst the command-driven statistical packages, MATLAB along with R, are the easiest to check commands and verify the simulation process in order to validate the analytical process and the accuracy of the result. 

5.    Saves Time: Using MATLAB shortcuts saves you a ton of time and effort. For instance, if you find yourself typing the same lines of code every day, you can store them as shortcuts. You begin this by creating a shortcut that contains all the statements. The next process is to select and run the shortcut to execute all the statements it contains. Finally, you create, run, and organize shortcuts from the Start -> Shortcut menu or the desktop Shortcuts toolbar. Also, MATLAB features can be easily assessed by using its menu, the desktop toolbar, or by using keyboard shortcuts and accelerators.


Businesses, modellers, and researchers rely heavily on mathematics and statistics to perform their tasks. With its rich toolbox and ease of use, anyone can benefit from the use of MATLAB.

Masterly is a London-based research and development network, which connects research institutions and businesses to modellers from all over the world.

Tagged With: Data ScienceBiostatisticsEconomicsBehavioral Sciences

 Related Posts: What are the Data Analysis Issues, we face? The difference between Theory and Theoretical Framework

 



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