Develop a step state management system to handle the sub-steps within the data cleaning process. This will ensure users can move through the 3 steps which is handling missing data, removing duplicate entries, and validating column entries efficiently.
Steps
Handling Missing Data: Options for interpolation, imputation, or removal of missing data.
Removing Duplicate Entries: Detect and remove duplicate rows based on a chosen set of columns.
Validating Column Entries: Ensure that specific columns meet defined criteria (e.g., data type checks, value ranges, etc.).
Tasks
[ ] #16
Additional Info
Users can navigate forward and backward within the data cleaning sub-steps.
Current sub-step state is synchronized with a visual indicator, such as a stepper, to guide users through the data cleaning process.
Each sub-step displays corresponding UI components for user input and interaction.
Description
Develop a step state management system to handle the sub-steps within the data cleaning process. This will ensure users can move through the 3 steps which is handling missing data, removing duplicate entries, and validating column entries efficiently.
Steps
Tasks
Additional Info