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Interactive Visualization With Plotly Express
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Author(s): Gurram Sunitha (School of Computing, Mohan Babu University, Tirupati, India), A. V. Sriharsha (Mohan Babu University, India), Olimjon Yalgashev (Samarkand International University of Technology, Uzbekistan)and Islom Mamatov (Samarkand International University of Technology, Uzbekistan)
Copyright: 2023
Pages: 25
Source title:
Advanced Applications of Python Data Structures and Algorithms
Source Author(s)/Editor(s): Mohammad Gouse Galety (Department of Computer Science, Samarkand International University of Technology, Uzbekistan), Arul Kumar Natarajan (Samarkand International University of Technology, Uzbekistan)and A. V. Sriharsha (MB University, India)
DOI: 10.4018/978-1-6684-7100-5.ch009
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Abstract
Data visualisation is the process of visualizing data for the purpose of analyzing and correlating data to confirm complicated ideas and to spot visual patterns after an investigation. Data visualization allows data scientists to quickly identify visual patterns and trends that may not be immediately apparent from raw data. Visualization also enables us to build models that are easier for stakeholders to understand and apply. Data visualization is an essential tool for exploratory data analysis (EDA). Plotly Express is a terse, high-level Python visualization library. It is a wrapper module for Plotly library that provides simple interface for visualizing data in the form of various plots, maps, graph objects, layouts, traces, figures, etc. Plotly Express is a user-friendly, high-level interface to Plotly that generates easily styleable, interactive, beautiful, and informative figures visualizing various types of data. Plotly Express provides interactive visualizations.
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