https://github.com/conjoint-ly/can-you-make-perceptual-maps-from-fake-data

https://github.com/conjoint-ly/can-you-make-perceptual-maps-from-fake-data

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• Host: GitHub
• URL: https://github.com/conjoint-ly/can-you-make-perceptual-maps-from-fake-data
• Owner: Conjoint-ly
• Created: 2023-11-25T07:57:33.000Z (about 1 year ago)
• Default Branch: master
• Last Pushed: 2023-11-30T06:26:20.000Z (about 1 year ago)
• Last Synced: 2023-12-01T06:27:53.175Z (about 1 year ago)
• Language: R
• Size: 345 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Can you make perceptual maps from fake data? (A replication study)

See [the blog post](https://www.conjointly.com/blog/can-you-make-perceptual-maps-from-fake-data/) for more details.

## Common files

* [global.r](global.r) — Loads libraries and functions used in the other scripts.

* _openai.key_ — The OpenAI key used to access their API (not included in the repo).

## Study on Super Rugby teams

* **Datasets**:

  * [super-rugby-real-data.xlsx](super-rugby-real-data.xlsx) — The real data from the original study.

  * [super-rugby-real-similarities.csv](super-rugby-real-similarities.csv) — The real similarity matrix from the original study. To be read of % of responses who said that [column] was more similar to [row].

  * [super-rugby-facts-about-teams.csv](super-rugby-facts-about-teams.csv) — A simple dataset about a team each team containing the RGB colour of the team's kit, the team's name, and the team's country (coded as Australia or New Zealand).

  * The generated fake data is in the [super-rugby-fake-data](super-rugby-fake-data/) folder.

* **Code**:

  * [super-rugby-fake-data-generation.r](super-rugby-fake-data-generation.r) — The R script used to generate the fake data.

  * [super-rugby-similarity-plotting.r](super-rugby-similarity-plotting.r) — The R script used to plot the similarity charts (graphs and MDS).

* **Output charts** are in the [super-rugby-outputs](super-rugby-outputs/) folder.

## Study about Australian cafe chains

* **Datasets**:

  * [cafe-real-data.xlsx](cafe-real-data.xlsx) — The real data from the original study.

  * [cafe-real-similarities.csv](cafe-real-similarities.csv) — The real similarity matrix from the original study. To be read of % of responses who said that [column] was more similar to [row].

  * The generated fake data is in the [cafe-fake-data](cafe-fake-data/) folder.

  * [cafe-expert-based-maps.csv](cafe-expert-based-maps.csv) — Two expert-based perceptual maps.

* **Code**:

  * [cafe-fake-data-generation.r](cafe-fake-data-generation.r) — The R script used to generate the fake data.

  * [cafe-similarity-plotting.r](cafe-similarity-plotting.r) — The R script used to plot the similarity charts (graphs and MDS).

* **Output charts** are in the [cafe-outputs](cafe-outputs/) folder.