daupy
Datasets for the book Data Analysis Using Python: Theory and Practice by Professor Dr. Mohammad Shahidul Islam. It is the Python edition of Sampling and Data Analysis Using R.
daupy is the Python companion to the R package dauR. It ships the same
curated datasets used throughout the book so that every worked example is fully
reproducible.
Installation
pip install daupy
Usage
import daupy
# What is available?
daupy.list_datasets()
# Load a dataset as a pandas DataFrame
case_study = daupy.load_dataset("case_study")
case_study.head()
# Read the documentation for a dataset
daupy.describe("Health")
Datasets
| Name | Rows | Purpose |
|---|---|---|
case_study |
30 | Descriptive analysis (library survey) |
Health |
80 | Descriptive analysis / estimation (factory labourers) |
likert_data |
15 | Ordinal / Likert-scale data |
reading |
200 | Mediation, moderation, confounding |
smoke_class |
198 | Contingency tables, test of association |
twoway |
60 | Two-way ANOVA |
weight1 |
16 | Paired comparison (before) |
weight2 |
16 | Paired comparison (after) |
students_data |
20 | PCA and factor analysis |
eng_data |
223 | Survival analysis |
License
Datasets are released under CC BY 4.0, matching the original dauR package.
Citation
If you use these datasets in published work, please cite the book:
Islam, M. S. (2026). Data Analysis Using Python: Theory and Practice.
License
The datasets are released under CC-BY-4.0. You may share and adapt them, including commercially, provided you give appropriate credit.
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