Basic Summary Statistics

Islam, Md. Anwarul; Al-Shiha, Abdullah

doi:10.1007/978-981-10-8627-4_2

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2020

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“…The computation of centralized of data by evaluated the scattered of data [41], [42]. Mean, median, and mode are the example of central tendency analysis.…”

Section: Central Tendencymentioning

confidence: 99%

Comparing Tools Provided by Python and R for Exploratory Data Analysis

Rahmany

Zin

Sundararajan

2020

IJISCS

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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.

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“…The computation of centralized of data by evaluated the scattered of data [41], [42]. Mean, median, and mode are the example of central tendency analysis.…”

Section: Central Tendencymentioning

confidence: 99%