Data Technologies for Statistical Analysis

Author

Heike Hofmann

Spring 2023

TR 2:10 - 3:25 pm, Lagomarcino 1445, see zoom link in Canvas

Office Hours: by appointment

Instructor: Heike Hofmann, hofmann at iastate dot edu

TA: Ganesh Krishnan, ganeshk at iastate dot edu

Two panels. On the left, what your research supposedly looks like, with a nice flowchart showing the path between computer, controller, prototype, data, data acquisition, and computer. The panel is labeled Figure 1: Experimental Diagram. On the right, a panel labeled Figure 2: Experimental mess, showing what your research actually looks like, with a heap of electronics and wires, with a sign saying 'touch anything and DIE'.

Supposedly. Source

Course description:

Not all data lives in nice, clean spreadsheets, not all data fits in a computer’s main memory. As statisticians we cannot always rely on other people and sciences to get the data into formats that we can deal with: we will discuss aspects of statistical computing as they are relevant for data analysis. Read and work with data in different formats: flat files, databases, web technologies. Elements of literate programming help us with making our workflow transparent and analyses reproducible. We will discuss communication of results in form of R packages and interactive web applications.

Learn how to…

  • read and combine data from flat files, SQL database, binary netCDF, and making use of web technologies as data source.
  • compute with data.
  • clean the data, check the quality, impute missing values.
  • write efficient and reproducible code so others are able to replicate the analysis.
  • develop software, individually and collaboratively, debug, profile and package R code.
  • experiment with event driven programming to build an interactive graphic, and a GUI.
  • pull data together to solve a contemporary problem.

More info…

Use the navigation bar above!

The course organization on GitHub: https://github.com/stat585-at-ISU

Repo that creates this website: https://github.com/Stat585-at-ISU/Stat585-at-ISU.github.io