Data Scientist Says

  Overview of Exploratory Data Analysis Exploratory data analysis (EDA) is the first and most important step performed in any data science and machine learning project. Exploratory data analysis (EDA) helps data analyst and data scientists to analyze and investigate data sets. Exploratory Data Analysis helps to summarize main characteristics of data sets and insights from data. EDA also involves data visualization methods to better showcase the properties. In other words, EDA helps us simply understanding the data sets with the help of summary and often using graphical techniques such as various plots which include Histogram, Bar Chart, Box Plot, Scatter Plots and many more. The main objective of EDA is to help look at data in a systematical manner before making any assumptions. It can help identify features, errors in data set, detect outliers or anomalous, and helps in generating a better understanding of data and relationships between different variables. Some times the Ex...