An interesting read on choosing a license for your code
https://www.gnu.org/licenses/license-recommendations.html
Be sure to follow @fsf
| Website | https://greenboxcode.com |
@mrundkvist I would worry about any generic 'black box' solution might simplify the clustering, and weighting. I think a custom solution might be best. https://maxhalford.github.io/prince/mca/ could be used with python to help you.
Don't be too quick to shy away from learning to code a bit. Python is accessible to a lot of people. Good luck
Resources Computation of Multiple Correspondence Analysis, with code in R Data Multiple correspondence analysis is an extension of correspondence analysis. It should be used when you have more than two categorical variables. The idea is to one-hot encode a dataset, before applying correspondence analysis to it. As an example, we’re going to use the balloons dataset taken from the UCI datasets website. import pandas as pd dataset = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/balloons/adult+stretch.data') dataset.columns = ['Color', 'Size', 'Action', 'Age', 'Inflated'] dataset.
@mrundkvist I see. Libre Office - Calc might be a good alternative to MS Excel. For reference background on Correspondence Analysis can be see at https://en.wikipedia.org/wiki/Correspondence_analysis
How big is your data set?
@mrundkvist The first two that spring to mind are https://octave.org/ & https://posit.co/download/rstudio-desktop/
But it might be simpler to use python with numpy and pandas.
Let me know if you need a hand.
An interesting read on choosing a license for your code
https://www.gnu.org/licenses/license-recommendations.html
Be sure to follow @fsf
@FrankPasquale Thank you for that. I look forward to this read.
For reference: https://www.upress.umn.edu/9781517918149/cyberlibertarianism/
@FrankPasquale An Institution of destructive historical influence worried about "immaterial harms" how the world has changed.
I am not a fan of LLMs but something made me think of Guttenberg.
"Just as some scoffed at the printing press, claiming it would destroy the art of the scribe, so too do some fear the power of the LLM." - Johannes Gutenberg (if he were still kicking)
#Switzerland mandates #OpenSource software for all public software!
This makes perfect sense. Public software should be transparent. #India could have taken a lead on this, but our digital public infrastructure is mostly closed-source - with predictable consequences. 🙄