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Comparative Analysis of Data Visualization Libraries Matplotlib and Seaborn in Python

Unknown authors

2021International Journal of Advanced Trends in Computer Science and Engineering83 citationsDOI

Abstract

With the tremendous growth in the areas of computing, statistics, and mathematics has led to the rise of the emerging field of expertise, named ‘Data Science’. This paper focuses on the comparative study and evaluation of the data science libraries used in Python Programming Languages, named ‘Matplotlib’ and ‘Seaborn’. The sole purpose of this paper is to identify areas and evaluate the strengths and weaknesses of these libraries with the implementation of code and identify the classification of the univariate and multivariate plotting of data concerned with patterns of data visualization and computational modelling of data in the form of processed information using techniques of big data and data mining

Topics & Concepts

Python (programming language)Computer scienceUnivariateVisualizationData scienceData visualizationData miningMultivariate statisticsData structureProgramming languageMachine learningComputational Physics and Python ApplicationsInformation Systems and Technology ApplicationsStatistical and Computational Modeling
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