TIM-6540 V2

Abraham, T. H., Finley, E. P., Drummond, K. L., Haro, E. K., Hamilton, A. B., Townsend, J. C., Littman, A. J., & Hudson, T. (2021). A method for developing trustworthiness and preserving richness of qualitative data during team-based analysis of large data sets. American Journal of Evaluation, 42(1), 139–156.
A great example of real-world use of qualitative data.

Byrne, D. (2017). Project planner. Sage Research Methods.
Outstanding resource for data collection methods, qualitative and quantitative data, etc.

Grolemund, G. (2016). Reproducible Research and Reports with R Markdown.
This is a great video resource on using R Markdown.

Lučanin, D. (2018). Jupyter Notebook for Data Science [Video]. https://learning.oreilly.com/videos/jupyter-notebook-for/9781789135411/.
This is a video resource on using Jupyter Notebooks.

• Review Chapter 1: Jupyter Notebook Introduction
• Review Chapter 2: Data Analysis Using Pandas
• Review Chapter 4: Advanced Visualization

Project Jupyter. (n.d.). Retrieved from https://jupyter.org/
This resource provides a link to the landing page where you can download Jupyter Notebooks and get additional information relating to Jupyter Notebooks.

The Qualitative Data Repository. (n.d.) https://qdr.syr.edu/.
This is a great free resource for qualitative data sets.

R Markdown. (2021, April 23). https://rmarkdown.rstudio.com/
This resource provides a link to the landing page where you can download R Markdown and get additional information relating to R Markdown.

R Markdown Cheat Sheet. (n.d.). https://www.rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf
This resource provides a link to a cheat sheet that provides instructional information on how to get started with R Markdown reports.

Zahle, J. (2020). Objective data sets in qualitative research. Synthese: An International Journal for Epistemology, Methodology and Philosophy of Science, 1.
A great read on selecting and rejecting qualitative data sets.