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CHARITY

CHARITY

CHARITY for Module 3 incremental model building.

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 CHARITY from the dataset link first.
data = pd.read_stata("CHARITY.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

giftnumeric

gift used for Module 3 incremental model building.

Missing values: Review source documentation before recoding missing values.

mailsyearnumeric

mailsyear used for Module 3 incremental model building.

Missing values: Review source documentation before recoding missing values.

giftlastnumeric

giftlast used for Module 3 incremental model building.

Missing values: Review source documentation before recoding missing values.

proprespnumeric

propresp used for Module 3 incremental model building.

Missing values: Review source documentation before recoding missing values.

avggiftnumeric

avggift used for Module 3 incremental model building.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.CHARITY is catalogued for Module 3 incremental model building. 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.