Abstract

Data analysis is an important aspect in Machine learning. Analysis can be done using several analytical tools like Excel, Python, R, Octave, SPSS etc. It is important to know how to perform data analysis before creating any model in Machine Learning. Data analysis helps in understanding the data better before applying the Machine Learning algorithm. Analysis can be performed numerically and visually which would help the analyst to understand the basics and relationship between data. Normally in data science projects many data analysts directly do the modeling without understanding the data, which leads to rework or additional effort. In this paper we will see how to understand the data better and how to analyse the data using R.

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