MODULE7_DISCRETE_OUTCOME_SYNTHETIC
MODULE7_DISCRETE_OUTCOME_SYNTHETIC synthetic teaching data for Module 7 discrete dependent variable interpretation and count-outcome caution.
Structure
other
File type
CSV
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 MODULE7_DISCRETE_OUTCOME_SYNTHETIC from the dataset link first.
data = pd.read_stata("MODULE7_DISCRETE_OUTCOME_SYNTHETIC.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.
person_id used for Module 7 discrete dependent variable interpretation and count-outcome caution.
Missing values: Review source documentation before recoding missing values.
children used for Module 7 discrete dependent variable interpretation and count-outcome caution.
Missing values: Review source documentation before recoding missing values.
education used for Module 7 discrete dependent variable interpretation and count-outcome caution.
Missing values: Review source documentation before recoding missing values.
age used for Module 7 discrete dependent variable interpretation and count-outcome caution.
Missing values: Review source documentation before recoding missing values.
urban used for Module 7 discrete dependent variable interpretation and count-outcome caution.
Missing values: Review source documentation before recoding missing values.
electricity used for Module 7 discrete dependent variable interpretation and count-outcome caution.
Missing values: Review source documentation before recoding missing values.
household_income used for Module 7 discrete dependent variable interpretation and count-outcome caution.
Missing values: Review source documentation before recoding missing values.
religion_group used for Module 7 discrete dependent variable interpretation and count-outcome caution.
Missing values: Review source documentation before recoding missing values.