Troubleshooting data issues

You will be building popups for the downtown art using the title and desc columns from the urban_art DataFrame. Here, you will inspect those columns to identify and clean up any problematic values.

Este exercício faz parte do curso

Visualizing Geospatial Data in Python

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Instruções do exercício

Print and inspect the values in the title column of the urban_art DataFrame.
Print and inspect the values in the desc column of the urban_art DataFrame.
Use the fillna() method to replace the NaN values in the desc column with empty strings, and use .str.replace to replace the apostrophes (') with back-ticks (`).
Print the descriptions again to verify your work.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Print the urban_art titles
print(urban_art.____)

#Print the urban_art descriptions
print(urban_art.____)

# Replace Nan and ' values in description
urban_art.desc.____('', inplace = True)
urban_art.desc = urban_art.desc.____.____("'", "`")

#Print the urban_art descriptions again
print(urban_art.desc)

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