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This R notebook contains code for, 1) Converting Data from Wide to Long Format 2) Adding an Earliest and Most Recent columns to a time series dataset 3) Computing moving averages at different time intervals 4) Plotting moving averages in 3) above on line graphs
data = pd.read_github('My / Python / Repository.github') Conents = ["Practice", "Assignments"] sub_contents = ({"Practice" : "All notebooks created during course", "Assignments" : "Basic to Advance"})
Explore comprehensive retail analysis and insights focusing on Marley International Store, powered by data analytics techniques and visualizations using Python, PowerBI and Jupyter Notebooks.