Set Boolean columns
Datasets may have columns that are most accurately modeled as Boolean values. However, pandas usually loads these as floats by default, since defaulting to Booleans may have undesired effects like turning NA values into Trues.
fcc_survey_subset.xlsx contains a string ID column and several True/False columns indicating financial stressors. You'll evaluate which non-ID columns have no NA values and therefore can be set as Boolean, then tell read_excel() to load them as such with the dtype argument.
pandas is loaded as pd.
Deze oefening maakt deel uit van de cursus
Streamlined Data Ingestion with pandas
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Load the data
survey_data = pd.read_excel("fcc_survey_subset.xlsx")
# Count NA values in each column
print(survey_data.____)