SMOKE
SMOKE for Module 5 count distributions and nonnormality.
Structure
cross-sectional
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 SMOKE from the dataset link first.
data = pd.read_stata("SMOKE.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.
cigs used for Module 5 count distributions and nonnormality.
Missing values: Review source documentation before recoding missing values.
educ used for Module 5 count distributions and nonnormality.
Missing values: Review source documentation before recoding missing values.
age used for Module 5 count distributions and nonnormality.
Missing values: Review source documentation before recoding missing values.
income used for Module 5 count distributions and nonnormality.
Missing values: Review source documentation before recoding missing values.