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Data transformation stage — computes derived columns and filters rows by conditions.
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Based on SOC occupation classification
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Load and parse CSV files into structured data frames with configurable encoding, delimiter, and date parsing options.
Export pandas DataFrames or processed datasets to well-formatted CSV files with configurable encoding, delimiter, quoting, and column ordering.
Aggregate tabular data by one or more dimensions with configurable metrics — sum, mean, count, min, max, median. Supports multi-level grouping and pivot table generation.
Comprehensive data cleaning toolkit — handles missing values, duplicate removal, type coercion, whitespace trimming, and outlier detection in a single pass over the dataset.
Identify and remove duplicate records from tabular datasets using exact-match, fuzzy-match, or composite-key-based deduplication strategies.
| name | data-transformer |
| description | Data transformation stage — computes derived columns and filters rows by conditions. |
| version | 1.0.0 |
The transformation stage of the report-generator-pipeline. Takes parsed records and applies two types of operations: (1) computing new derived columns from existing ones, and (2) filtering rows based on column conditions.
| Directory | Script | Description |
|---|---|---|
column-calculator/ | calculator.py | Compute derived columns using arithmetic operations |
data-filter/ | filter.py | Filter rows by comparison expressions |
The column-calculator supports the following arithmetic operations on pairs of columns:
result = col_a + col_bresult = col_a - col_bresult = col_a / col_b (returns 0 if col_b is zero)result = col_a * col_bThese four operations cover standard derived-column needs for financial and numerical analysis.
--input / -i: Path to parsed data JSON file (required)--calc: Calculation type: sum, diff, ratio, multiply (default: sum)--columns: Two column names for calculation (comma-separated)--result-name: Name for the computed column (default: calculated)--filter-expr: Filter expression, e.g. revenue>500--output / -o: Output directory (required)transformed_data.json: Records with new derived column added and/or rows filtered