Author : Tarak hussain, p. s. aithal
Keyword : Exploratory data analysis, kaggle, visualization
Subject : Management
Article Type : Original article (research)
DOI : 10.55948/ijerste.2023.0302
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Article File : Full Text PDF
Abstract : Data need to be analyzed so as to produce good result. Using the result decision can be generated. For example, recommendation system, ranking of the page, demand forecasting, prediction of purchase of the product etc. There are some leading companies where the review of the customer plays a great role to analyze the factor which influences the review rating. We have used exploratory data analysis (EDA) where data interpretations can be done in row and column format. We have used python for data analysis. It is object oriented, interpreted and interactive programming language. It is open source with rich sets of libraries like pandas, MATplotlib, seaborn etc. We have used different types of charts and various types of parameter to analyze data science job salary data sets taken from kaggle.
Article by : Sreeramana Aithal
Article add date : 2023-03-31
How to cite : Tarak hussain, p. s. aithal. (2023-March-31). Visualization and explorative data analysis. international journal of enhanced research in science, technology & engineering, 12(3), 11-21. issn: 2319-7463,. retrieved from https://www.openacessjournal.com/abstract/1229