LibGuides: TIM-8501 V4: Week 8 Resources

Week 8 Resources

Reminder: Please complete the O’Reilly login steps (See the Accessing O’Reilly link in the Week 1 Resources area) where you get an email that will allow your browser to keep your password, solving future access limitations.

Hands-On Exploratory Data Analysis with Python
Mukhiya, S. K., & Ahmed, U. (2020). Hands-on exploratory data analysis with Python. Packt Publishing.
Read all sections between EDA on Wine Quality Data Analysis and Summary.
These sections describe the entire process of exploratory data analysis and the key concepts of performing complete exploratory data analysis.
Advancing Into Analytics
Mount, G. (2021). Advancing into analytics. O'Reilly Media.
Read Section 9. Capstone: R for Data Analytics
This section demonstrates the entire process of exploratory data analysis using R.
Read Section 13. Capstone: Python for Data Analytics
This section demonstrates the entire process of exploratory data analysis using Python.

Data Repository

2020 Annual Social and Economic Supplements
Instructions:

Review the dataset information and the data dictionary provided.
Click the link for CSV Data File (includes Replicate Weights) to download the zip file. Select the file, hhpub20.csv for analysis.
2019 CPS Food Security
Instructions:

Review the dataset information in the PDF December 2019 Food Security Technical Documentation.
Click the CSV link under CPS Supplement.