DISCRIM
DISCRIM for Module 3 discrimination and multicollinearity.
Structure
cross-sectional
File type
LINK
Module
Course catalog
Visibility
public
Preview rows are shown when safely installed in the app. External or licensed files may need to be opened from the source link.
No local preview table is installed for this dataset. Use the download/source link, then load it with the Python example below.
import pandas as pd
# Download DISCRIM from the dataset link first.
data = pd.read_stata("DISCRIM.DTA")
print(data.head())Check the variable dictionary and source documentation before dropping or recoding missing values.
Get help with variables, graphs, regression questions, limitations, and Python loading code.
psoda used for Module 3 discrimination and multicollinearity.
Missing values: Review source documentation before recoding missing values.
prpblck used for Module 3 discrimination and multicollinearity.
Missing values: Review source documentation before recoding missing values.
income used for Module 3 discrimination and multicollinearity.
Missing values: Review source documentation before recoding missing values.
prppov used for Module 3 discrimination and multicollinearity.
Missing values: Review source documentation before recoding missing values.