Solved
Preparing for an analysis
How can I clean and prepare my data before running an analysis?
I found these in the documentation and thought it would be good to share here.
- Remove duplicates – Use the ‘Remove Duplicates’ function to eliminate redundant data.
- Handle missing values – Use built-in functions to fill missing values with mean, median, or a specific value.
- Format data types – Ensure numerical values, dates, and categories are in the correct format.
- Filter outliers – Apply statistical methods (e.g., Z-score or IQR) to detect and manage outliers.
- Standardize and normalize data – Use scaling functions to prepare data for machine learning models.
