Marketing-Analytics-EDA Exploratory Data Analysis of a Marketing Analytics dataset from Kaggle The steps of the EDA applied: Data Cleansing: Income column renaming, removing outliers and null values Check the distribution of some data starting with Income (e.g. distribution shape, outliers, etc..) Marketing Analysis Implementation Feature Engineering Implementation Correlation analysis and features relationships investigation Campaigns Success Analysis Conclusions: key findings and insights