Data Analytics Workshop
“Data is the new oil”, the significance of oil is derived from the fact that oil companies have been ruling the globe for decades. Major global tension has its base in the form of oil. Contemplating data requirements, data collection, data processing, and data cleaning are the stages that precede EDA. An appropriate decision needs to be made from the data collected about different fields which are primary stored in electronic databases. Data mining is the process that gives an insight into the raw data and EDA forms the first stage of Data mining.
Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA is a critical component of any data science or machine learning process. You must explore the data, understand the relationships between variables, and the underlying structure of the data in order to build a reliable and valuable output based on it. The EDA stages will be carried out in this tutorial using the Python programming language.
Stages of EDA