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{"columns":["ProductName","TotalSales"],"data":[["Reflect Sea",25.31],["Avoid American",514.63],["Certain Identify",1260.98],["Impact Agreement",518.32],["Million Agreement",250.02]]} # convert the data to pandas DataFrame df = pd.DataFrame(data_dict['data'], columns=data_dict['columns']) # create