Mathematics and Computer Science, Volume 1

24Performance Analysis and Interpretation Using Data Visualization

Vikash Kumar Mishra¹, Iyyappan, M.²*, Muskan Soni² and Neha Jain²

¹Indian Institute of Information Tecgnology, Allahabad, Devghat Jhalwa, Prayagraj, UP, India

²Christ (Deemed to be) University, Delhi NCR Ghaziabad, Uttar Pradesh, India

Abstract

The matrix plot library (Matplotlib) is a unique feature in python that helps in the visualization of data via entering certain dataset and codes. It is a portable two-dimension of plot and images are mainly focused on visualizing scientific, technical, and financial data. These matrix plots are performing with the help of python programming and various user interface applications. Most familiar versions of joint photographic and supportable picture graphics are used for the picture visualization. These additional features include the various navigation processes, pages with the line, as well as images. The financial charts of open source website are used for tables and mathematical texts. The library is based on numerical python arrays, giving us visual access to massive quantities of data in readily consumable graphics. The problem statement here delves further into the functions of this feature, which will aid in a better understanding of Python’s involvement in the data visualization.

Keywords: Performance analysis, data visualization, Matplotlib in Python

24.1 Introduction

The matrix plotting library was developed on the basis of user request to create a sample visualization ...