AN EDA & PLOTTING TOOLS INTRODUCTION ON IRIS DATA SET

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R. Anil Kumar
N. Ravi Kiran
D. Nehemiah

Abstract

Exploratory data analysis is a task of analyzing data from tools such as statistics, linear algebra, and some plotting techniques it is a very important task for a data set for analyzing data before building an actual machine learning models. It is called exploratory because we understand the data by being Sherlock Holmes. In this paper, we understand some basic plotting tools by using a real-world toy dataset (iris dataset)

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How to Cite
[1]
R. Anil Kumar, N. Ravi Kiran, and D. Nehemiah, “AN EDA & PLOTTING TOOLS INTRODUCTION ON IRIS DATA SET”, Int. J. Comput. Eng. Res. Trends, vol. 5, no. 2, pp. 62–64, Feb. 2018.
Section
Research Articles

References

http://www.lac.inpe.br/~rafael.santos/Doc /s R/CAP386/IntroEDA-Iris.html

https://www.kaggle.com/lalitharajesh/irisdatase t-exploratory-data-analysis

https://www.datacamp.com/community/t utorials/exploratory-data-analysis-python

https://en.wikipedia.org/wiki/Exploratory_ data_analysis

https://en.wikipedia.org/wiki/Box_plot

https://en.wikipedia.org/wiki/Violin_plot

https://en.wikipedia.org/wiki/Pair

https://en.wikipedia.org/wiki/Histogram