Exploratory Data Analysis (EDA)
Have you heard of EDA? Let's, deep dive into Exploratory data analysis (EDA). It is the analysis used by a data scientist to spot the patterns, trends, and hypotheses to manipulate the data for getting your questions answered. It is a vital step to get the most out of any data and also it is critical because it provides a better picture of the relationship between different variables. EDA is mainly practiced to get a better understanding of your data before making any assumptions. It answers some basic questions related to data such as the confidence interval, standard deviation, and relationship that exist between different variables. EDA is a soul for any data analysis. According to John Tukey “ Exploratory data analysis is an attitude, a state of flexibility, a willingness to look for those things that we believe are not there, as well as those we believe to be there. ” Source There are mainly 4 types of EDA- Univariate non-graphical- It only deals with a single variable so it i...