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Data preparation
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Processors reference
Extract from array
Fold an array
Sort array
Concatenate JSON arrays
Discretize (bin) numerical values
Change coordinates system
Copy column
Rename columns
Concatenate columns
Delete/Keep columns by name
Column Pseudonymization
Count occurrences
Convert currencies
Split currencies in column
Create if, then, else statements
Extract date elements
Compute difference between dates
Format date with custom format
Parse to standard date format
Split e-mail addresses
Enrich from French department
Enrich from French postcode
Enrich with build context
Enrich with record context
Extract ngrams
Extract numbers
Fill column
Fill empty cells with fixed value
Impute with computed value
Filter rows/cells on date
Filter rows/cells with formula
Filter invalid rows/cells
Filter rows/cells on numerical range
Filter rows/cells on value
Find and replace
Flag rows/cells on date range
Flag rows with formula
Flag invalid rows
Flag rows on numerical range
Flag rows on value
Fold multiple columns
Fold multiple columns by pattern
Fold object keys
Formula
Fuzzy join with other dataset (memory-based)
Generate Big Data
Compute distance between geospatial objects
Extract from geo column
Geo-join
Resolve GeoIP
Create area around a geopoint
Create GeoPoint from lat/lon
Extract lat/lon from GeoPoint
Extract with grok
Flag holidays
Split invalid cells into another column
Join with other dataset (memory-based)
Extract with JSONPath
Group long-tail values
Compute the average of numerical values
Translate values using meaning
Normalize measure
Merge long-tail values
Move columns
Negate boolean value
Force numerical range
Generate numerical combinations
Convert number formats
Nest columns
Unnest object (flatten JSON)
Extract with regular expression
Pivot
Python function
Split HTTP Query String
Remove rows where cell is empty
Round numbers
Simplify text
Split and fold
Split into chunks
Split and unfold
Split column
Switch case
Transform string
Tokenize text
Transpose rows to columns
Triggered unfold
Unfold
Unfold an array
Convert a UNIX timestamp to a date
Fill empty cells with previous/next value
Split URL (into protocol, host, port, …)
Classify User-Agent
Generate a best-effort visitor id
Zip JSON arrays
Filtering and flagging rows
Managing dates
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Geographic processors
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Dataiku DSS
You are viewing the documentation for version
13
of DSS.
»
Data preparation
»
Processors reference
»
Normalize measure
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Normalize measure
¶
This processor normalizes a measurement (mass, volume, surface)
