wage_sample.csv
A small teaching dataset for practicing descriptive statistics, scatter plots, and early regression intuition.
Structure
cross-sectional
File type
CSV
Module
Module 2
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.
| wage | education | experience | female | married |
|---|---|---|---|---|
| 18.5 | 12 | 3 | 0 | 0 |
| 24.2 | 16 | 6 | 1 | 1 |
| 31.8 | 18 | 10 | 0 | 1 |
| 21.1 | 14 | 4 | 1 | 0 |
| 28.4 | 16 | 9 | 0 | 1 |
import pandas as pd
data = pd.read_csv("/data/wage_sample.csv")
print(data[["wage", "education"]].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.
Hourly wage in dollars.
Missing values: Review source documentation before recoding missing values.
Years of completed education.
Missing values: Review source documentation before recoding missing values.
Years of labor market experience.
Missing values: Review source documentation before recoding missing values.
Indicator equal to 1 for female workers.
Missing values: Review source documentation before recoding missing values.
Indicator equal to 1 for married workers.
Missing values: Review source documentation before recoding missing values.