Question: # Here's one way of converting that DataFrame, # with a dict generated from the JSON in each row, to a DataFrame. d = pd

# Here's one way of converting that DataFrame,
# with a dict generated from the JSON in each row, to a DataFrame.
d = pd.io.json.read_json(url)
# Create a list to handle the DataFrame generated by each row.
dfl=[]
for row in d['records']: # Changed 'result' to 'records'
# Convert the dict in each row to a DataFrame.
dfl.append(pd.DataFrame.from_dict(row))
# Concatenate all the DataFrames:
pd.concat(dfl)

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