How do I handle missing values in my dataset?
An example of an AI chatbot conversation about handling missing values in datasets.
How do I handle missing values in my dataset?
Handling missing values is crucial for data analysis. You can either remove them, fill them with a statistic, or use algorithms that support missing values.
What are some common methods to fill missing values?
Common methods include using the mean, median, or mode of the column, or using interpolation techniques.
Are there any risks in removing rows with missing values?
Yes, removing rows can lead to loss of valuable data and may introduce bias if the missingness is not random.
How can I identify which values are missing in my dataset?
You can use functions like isnull() in Python's pandas library to identify missing values in your dataset.
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