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M6_HOUSING_LOGS

M6_HOUSING_LOGS

M6_HOUSING_LOGS synthetic teaching data for Module 6 log models, quadratics, turning points, and smearing.

Download CSV

Structure

other

File type

CSV

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 M6_HOUSING_LOGS from the dataset link first.
data = pd.read_stata("M6_HOUSING_LOGS.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

pricenumeric

price used for Module 6 log models, quadratics, turning points, and smearing.

Missing values: Review source documentation before recoding missing values.

lpricenumeric

lprice used for Module 6 log models, quadratics, turning points, and smearing.

Missing values: Review source documentation before recoding missing values.

sqrftnumeric

sqrft used for Module 6 log models, quadratics, turning points, and smearing.

Missing values: Review source documentation before recoding missing values.

lsqrftnumeric

lsqrft used for Module 6 log models, quadratics, turning points, and smearing.

Missing values: Review source documentation before recoding missing values.

bdrmsnumeric

bdrms used for Module 6 log models, quadratics, turning points, and smearing.

Missing values: Review source documentation before recoding missing values.

agenumeric

age used for Module 6 log models, quadratics, turning points, and smearing.

Missing values: Review source documentation before recoding missing values.

qualitynumeric

quality used for Module 6 log models, quadratics, turning points, and smearing.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.M6_HOUSING_LOGS is catalogued for Module 6 log models, quadratics, turning points, and smearing. 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.