Eda: Exploratory Data Analysis using

Exploratory Data Analysis using python to explore the data and extract all possible insights helping in model building and decision making. Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. Exploratory Data Analysis (EDA) is not just a preliminary step in the field of data science. It is the concept that reveals the structure within raw information and how the path toward meaningful features and strong models becomes clear. Exploratory Data Analysis (EDA) is a process of describing the data by means of statistical and visualization techniques in order to bring important aspects of that data into focus for further analysis. This involves inspecting the dataset from many angles, describing & summarizing it without making any assumptions about its contents.