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Bersihin Data 11 File

Clean and Standardize Multiple CSV Files

This section reads several CSV files and applies a simple cleaning step to each one before saving them later. The cleaning differs by file: one branch standardizes text across multiple columns, another keeps only the needed columns, fills missing values, and converts numeric fields from decimal to integer, another just fills in missing values, and another performs a text transformation on one column. Overall, the goal is to make each dataset more complete, consistent, and ready for further use.

Save the Cleaned Files

These nodes write each processed table back out as a separate CSV file. At this point, the data cleaning is already done, so this step is mainly about exporting the final results for later use outside KNIME.

CSV Reader
Column Filter
Missing Value
Double to Integer
CSV Writer
String Manipulation
CSV Writer
Missing Value
CSV Reader
CSV Writer
CSV Reader
CSV Writer
CSV Reader
String Manipulation (Multi Column)

Nodes

Extensions

Links