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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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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1721372730231619584 |