Preprocessing run #34 · preprocessing

Table view Dataset report
400
n rows in
400
n rows out
40
n features out
PC_SHOOTMASS
target col
completed
status
2026-09-21 02:11
created
Figures
Before vs after Download PNG
Before vs after
Missing values Download PNG
Missing values
Export: CSV Excel PDF

Method & Provenance

Method
Preprocessing
Method key
preprocessing (result type: preprocessing, result #34)
Engine
Python · pandas/scikit-learn v3.0.3
Dataset(s)
#690 gallery — cat_g_field_data_plots.csv
Status
completed
Permanent link
https://cat-g-omxpert.wishartlab.com/results/by-token/eb7eb2770d9b4a1cbd47e9bc2da501e5 Bookmark or share this URL — it does not depend on your session.
Created
2026-09-21 02:11:20.564609

Parameters used

ParameterValue
normalization {'method': 'z-score'}
steps missing_value_imputation → normalization

Execution trace

Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made. 

# app.services.preprocessing_service.PreprocessingService
# step: missing_value_imputation
# step: normalization
df_out = service.apply(df, steps=steps, params=params)