The store(s) data for Target was obtained from Kaggle. The data was cleaned and visualized using Folium. Exploratory Data Analysis was performed to identify county and city with maximum number of Target stores present. Additional features like opening date, remodelling date, etc. were also explored to understand the characteristics of the data. Clustering was performed on the data to identify high density cluster of stores, hence, used DBSCAN (Density Based Spatial Clustering of Applications with Noise) algorithm.