What are some common EDA techniques?
Common EDA techniques include summary statistics, data visualization, and correlation analysis.
Can you explain how to use data visualization in EDA?
Data visualization helps to identify patterns and outliers in the data through graphs like histograms, scatter plots, and box plots.
What tools can I use for EDA?
Popular tools for EDA include Python libraries like Pandas and Matplotlib, as well as software like Tableau and R.
How do I handle missing data during EDA?
You can handle missing data by using techniques like imputation, removing missing values, or analyzing patterns of missingness.
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