COMPARING TOOLS PROVIDED BY PYTHON AND R FOR EXPLORATORY DATA ANALYSIS

To uncover the insight behind the data, a comprehensive analysis is needed. Exploratory Data Analysis (EDA) is one of practical data analysis that will guide how to reveal any hidden information in the data. By doing EDA, any pattern and issue in the data will be seen and eventually will lead the hy...

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Main Authors: Mahathir Rahmany, Abdullah Mohd Zin, Elankovan A Sundararajan
Format: Article
Language:English
Published: STMIK Pringsewu 2020-11-01
Series:IJISCS (International Journal of Information System and Computer Science)
Subjects:
Online Access:http://ojs.stmikpringsewu.ac.id/index.php/ijiscs/article/view/933
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spelling doaj-46e641dd46884200b49638536e3769442021-06-18T14:02:37ZengSTMIK PringsewuIJISCS (International Journal of Information System and Computer Science) 2598-07932598-246X2020-11-0143131142789COMPARING TOOLS PROVIDED BY PYTHON AND R FOR EXPLORATORY DATA ANALYSISMahathir Rahmany0Abdullah Mohd Zin1Elankovan A Sundararajan2Centre for Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, 43600Centre for Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, 43600Centre for Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, 43600To uncover the insight behind the data, a comprehensive analysis is needed. Exploratory Data Analysis (EDA) is one of practical data analysis that will guide how to reveal any hidden information in the data. By doing EDA, any pattern and issue in the data will be seen and eventually will lead the hypothesis. To do EDA, besides any basic statistic is needed, a good tool to simplify the analysis is also a consideration. Python and R as a famous programming language in the data science world provide methods to implement that analysis. This paper will show how to perform EDA by utilizing Python and R programming.http://ojs.stmikpringsewu.ac.id/index.php/ijiscs/article/view/933exploratory data analysis, eda, python, r, statistics
collection DOAJ
language English
format Article
sources DOAJ
author Mahathir Rahmany
Abdullah Mohd Zin
Elankovan A Sundararajan
spellingShingle Mahathir Rahmany
Abdullah Mohd Zin
Elankovan A Sundararajan
COMPARING TOOLS PROVIDED BY PYTHON AND R FOR EXPLORATORY DATA ANALYSIS
IJISCS (International Journal of Information System and Computer Science)
exploratory data analysis, eda, python, r, statistics
author_facet Mahathir Rahmany
Abdullah Mohd Zin
Elankovan A Sundararajan
author_sort Mahathir Rahmany
title COMPARING TOOLS PROVIDED BY PYTHON AND R FOR EXPLORATORY DATA ANALYSIS
title_short COMPARING TOOLS PROVIDED BY PYTHON AND R FOR EXPLORATORY DATA ANALYSIS
title_full COMPARING TOOLS PROVIDED BY PYTHON AND R FOR EXPLORATORY DATA ANALYSIS
title_fullStr COMPARING TOOLS PROVIDED BY PYTHON AND R FOR EXPLORATORY DATA ANALYSIS
title_full_unstemmed COMPARING TOOLS PROVIDED BY PYTHON AND R FOR EXPLORATORY DATA ANALYSIS
title_sort comparing tools provided by python and r for exploratory data analysis
publisher STMIK Pringsewu
series IJISCS (International Journal of Information System and Computer Science)
issn 2598-0793
2598-246X
publishDate 2020-11-01
description To uncover the insight behind the data, a comprehensive analysis is needed. Exploratory Data Analysis (EDA) is one of practical data analysis that will guide how to reveal any hidden information in the data. By doing EDA, any pattern and issue in the data will be seen and eventually will lead the hypothesis. To do EDA, besides any basic statistic is needed, a good tool to simplify the analysis is also a consideration. Python and R as a famous programming language in the data science world provide methods to implement that analysis. This paper will show how to perform EDA by utilizing Python and R programming.
topic exploratory data analysis, eda, python, r, statistics
url http://ojs.stmikpringsewu.ac.id/index.php/ijiscs/article/view/933
work_keys_str_mv AT mahathirrahmany comparingtoolsprovidedbypythonandrforexploratorydataanalysis
AT abdullahmohdzin comparingtoolsprovidedbypythonandrforexploratorydataanalysis
AT elankovanasundararajan comparingtoolsprovidedbypythonandrforexploratorydataanalysis
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