Performance Analysis of Tokyo Olympics 2021 Using Exploratory Data Analysis Techniques |
Author(s): |
| Dr. Pooja Bijlani , IES College of Technology Bhopal ; Dr. Vikas Saxena, IES College of Technology Bhopal |
Keywords: |
| Exploratory Data Analysis Techniques, Python |
Abstract |
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Python has rich libraries for data analysis and visualization. These libraries can be used for data analysis and visualization to find some in site of the data which is good to produce result. some leading companies use these results for improving customer satisfaction plays a great role to analyze factor , that affect the review rating. Exploratory data analysis (EDA) uses data interpretations which can be implemented in tabular format. This paper uses Python for data analysis. It is best for data analysis as because Python is object oriented and interactive programming language. It is an open source with rich sets of libraries like Pandas, Scikit, MATplotlib, seaborn etc. Different types of Graphs and various parameter are used to analyze Olympics 2021 review data sets which contains data three CSV files. |
Other Details |
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Paper ID: IJSRDV9I100166 Published in: Volume : 9, Issue : 10 Publication Date: 01/01/2022 Page(s): 242-245 |
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