pygwalker data exploration

How to Build an End-to-End Interactive Analytics Dashboard Using PyGWalker Features for Insightful Data Exploration

By Asif Razzaq
November 12, 2025

def generate_advanced_dataset(): np.random.seed(42) start_date = datetime(2022, 1, 1) dates = [start_date + timedelta(days=x) for x in range(730)] categories = ['Electronics', 'Clothing', 'Home & Garden',…