Exploratory Data Analysis using Python

Data need to be analyzed so as to produce good result. Using the result decision can be taken. For example recommendation system, ranking of the page, demand fore casting, prediction of purchase of the product. There are some leading companies where the review of the customer plays a great role to a...

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Veröffentlicht in:International journal of innovative technology and exploring engineering 2019-10, Vol.8 (12), p.4727-4735
Hauptverfasser: Sahoo, Kabita, Samal, Abhaya Kumar, Pramanik, Jitendra, Pani, Subhendu Kumar
Format: Artikel
Sprache:eng
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Zusammenfassung:Data need to be analyzed so as to produce good result. Using the result decision can be taken. For example recommendation system, ranking of the page, demand fore casting, prediction of purchase of the product. 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 Amazon review data sets which contains the reviews of electronic data items. We have used python programming for the data analysis.
ISSN:2278-3075
2278-3075
DOI:10.35940/ijitee.L3591.1081219