vernongayle / opa_berkeley_jupyter Goto Github PK

Concern about the lack of the reproducibility of research persists across a range of academic disciplines. There is a general appeal for extra materials to be routinely provided alongside research publications and reports which include sufficient information for a third party to reproduce results without any additional information from the authors. Jupyter notebooks are an open source web-based application that enable researchers to author documents that include live code (e.g. Stata or R code), alongside data analysis outputs (e.g. modelling results, plots etc.), and documentation (e.g. narrative text describing and detailing the workflow. Jupyter notebooks have been used in Nobel Prizewinning high-profile big science applications but are rarely used social science research.

The Project Jupyter Website (http://jupyter.org/)

Install Jupyter http://jupyter.org/install.html

The Quickstart Guide to https://jupyter.readthedocs.io/en/latest/content-quickstart.html

The Workflow of Data Analysis Using Stata http://www.indiana.edu/~jslsoc/web_workflow/wf_home.htm

Paper on the workflow in social science data analysis
Gayle, V.J. and Lambert, P.S. (2017) The Workflow: A Practical Guide to Producing Accurate, Efficient, Transparent and Reproducible Social Survey Data Analysis. NCRM Working Paper http://eprints.ncrm.ac.uk/4000/

Long, J.S. and Long, J.S., 2009. The workflow of data analysis using Stata. College Station, TX: Stata Press. https://www.amazon.co.uk/Workflow-Data-Analysis-Using-Stata/dp/1597180475/ref=sr_1_1?s=books&ie=UTF8&qid=1530726163&sr=1-1&keywords=stata+workflow
A fantastic book. This is the 'bible' of good data analysis workflow practices.

A blog post from Fernando Perez's blog http://blog.fperez.org/2013/04/literate-computing-and-computational.html

Lorena Barba's web page http://lorenabarba.com/
A gallery of interesting notebooks https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks

https://guides.github.com/activities/hello-world/
https://zeroturnaround.com/rebellabs/git-commands-and-best-practices-cheat-sheet/
https://services.github.com/on-demand/downloads/github-git-cheat-sheet.pdf

Here is a summary of Markdown codes https://en.wikipedia.org/wiki/Markdown#Example
If you have half an hour you can easily learn Markdown from here
http://www.markdowntutorial.com/ 
(if this doesn't work try a different browser)

Gayle, V. and Lambert, P. (2018) What is Quantitative Longitudinal Data Analysis? Bloomsbury Publishing.

Available at Amazon https://tinyurl.com/y8cbf7c2 or directly from Bloomsbury https://tinyurl.com/y9x5fltk