How do I handle null values in my data?
Handling null values depends on your data context. You can either remove them, fill them with a default value, or use imputation techniques.
What are some common methods for filling null values?
Common methods include using the mean, median, or mode of the column, or filling with a specific value like zero.
Are there any risks in removing rows with null values?
Yes, removing rows can lead to loss of valuable data and may introduce bias if the missing values are not random.
How can I identify which values are null in my dataset?
You can use functions like isnull()
in Python's pandas library to identify null values in your dataset.
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