Categorizing customers with conditions
Now you'll learn to create conditional expressions. The market research team wants to identify satisfied customers for a follow-up survey - customers with ratings of 4 or higher should be flagged.
The reviews DataFrame is available with 5 rows printed to preview.
Latihan ini adalah bagian dari kursus
Data Transformation with Polars
Petunjuk latihan
- Check if the
"rating"column is greater than or equal to4. - Return
"Yes"when the condition is True. - Return
"No"when the condition is False.
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
reviews.with_columns(
# Check if rating is 4 or higher
pl.____(pl.col("rating") >= ____)
# Return "Yes" when True
.____(pl.____("Yes"))
# Return "No" when False
.____(pl.____("No"))
.alias("is_satisfied")
)