How can I improve the quality of my dataset?
Improving dataset quality involves several steps, such as cleaning data, removing duplicates, and ensuring accuracy. What specific issues are you facing?
I have a lot of missing values and some incorrect entries.
For missing values, you can either remove those entries or use imputation techniques to fill them in. For incorrect entries, consider validating them against a reliable source.
What are some common imputation techniques?
Common imputation techniques include mean/mode imputation, k-nearest neighbors, and regression imputation. Each has its pros and cons depending on your dataset.
How do I identify duplicates in my dataset?
You can identify duplicates by using functions in data manipulation libraries like Pandas in Python, which has built-in methods to find and remove duplicates.
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