Back to datasets

ATTEND

ATTEND

ATTEND for Module 3 prediction with controls.

Open LINK data

Structure

cross-sectional

File type

LINK

Module

Course catalog

Visibility

public

Preview table

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.

Python loading code

import pandas as pd

# Download ATTEND from the dataset link first.
data = pd.read_stata("ATTEND.DTA")
print(data.head())

Check the variable dictionary and source documentation before dropping or recoding missing values.

Dataset AI assistant

Get help with variables, graphs, regression questions, limitations, and Python loading code.

Variables dictionary

atndrtenumeric

atndrte used for Module 3 prediction with controls.

Missing values: Review source documentation before recoding missing values.

priGPAnumeric

priGPA used for Module 3 prediction with controls.

Missing values: Review source documentation before recoding missing values.

ACTnumeric

ACT used for Module 3 prediction with controls.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.ATTEND is catalogued for Module 3 prediction with controls. Open the linked Drive source to install the file before validating output.
  2. 2.Create one summary table and one graph that support an econometric question.
  3. 3.Write one limitation about measurement, missing data, or omitted variables.