Week 9
SVD and Applications: Multiple Correspondence Analysis
- Session I Sophie Germain (2017) Monday 16h-17h30
- Session II Sophie Germain (2011) Friday 16h45-18h15
- Calendar
During session I (Monday 16th, afternoon), each team will have 5 minutes to present their results from Homework I and 5 minutes to answer question(s).
Each team will have to prepare one or two slides and a short pitch commenting the pictures.
All team members must attend the defense and be prepared to answer questions.
| Team | Schedule |
|---|---|
ls-leon |
16:00 |
LOR75 |
16:10 |
abdjin-xxx |
16:20 |
Sidi-xxx |
16:30 |
MA7BY020-2026 |
16:40 |
sabrina-xxxx |
16:50 |
Steven-xxx |
17:00 |
T1S2G3 |
17:10 |
aya-xxx |
17:20 |
sevikri-xxx |
17:30 |
OsKaR31415 |
17:40 |
yaniogl |
17:50 |
Bring your laptop with a working HDMI connector
Blackboard
Labs
- Lab 10 Multiple Correspondence Analysis as application of SVD
We still rely on the previous labs
- Lab 1 - Introduction to R and RStudio
- Lab 2 - Introduction to Data Visualization using Gapminder dataset
- Lab 3 - Working with
dplyr - Lab 4 Univariate categorical variables
- Lab 5 Univariate numeric variables
- Lab 6 - Linear Regression I
- Lab 6 - Linear Regression II
- Lab 7 - Linear Regression II
- Lab 8 Principal Component Analysis as an application of SVD
- Lab 9 Correspondence Analysis as an application of extended SVD
Further work
Review the content of the two labs. Work out every part you do not already know. Report an issue if you are unhappy with the proposed solutions/hints.
Further reading
- Bin Yu and Rebecca Barter, Veridical Data Science
Rfor data science- Advanced
R- S3 classes
- S4 classes
Logistics
: you will work with the R programming language in this course.
You need either to install R, RStudio and VS Code on your computer, or to use your posit-cloud account.
Install Quarto on your computer to render the .qmd files.
Please follow the instructions here to install R, RStudio, VS Code, and Quarto or to access posit-cloud.
Please activate your ENT account (follow the instructions on Moodle). You will be able to access the PostGres server.
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