Data sets
Here are several datasets on exploratory data analysis and sensometry.
Exploratory data analysis
Several datasets are extracted from Analyse de données avec R (F. Husson, S. Lê et J. Pagès, 2009, PUR).
The lines of code in R allows to make the analyses described in the book.
- Data sets for Principal Component Analysis (PCA)
- Orange juice (with the lines of code)
- Temperature in Europe (with the lines of code)
- Genomic data on chicken (with the lines of code)
- Sensory analysis of 10 white wines from an expert panel, from a student panel and from a consumer panel
- Decathlon performances
- Rainfall in France
- Temperature in France
- Data sets for Correspondence Analysis (CA)
- Women in 1970 (with the lines of code)
- Medals on Olympic Games (with the lines of code)
- Description of wines (with the lines of code)
- Death (with the lines of code)
- Number of students in French University
- Data sets for Multiple Correspondence Analysis (MCA)
- Questionnaire on tea consumption (with the lines of code)
- Questionnaire on GMO (with the lines of code)
- Description of perfume by categorization (with the lines of code)
- Data sets for hierarchical clustering
- Temperature in Europe (with the lines of code)
- Questionnaire on tea consumption (with the lines of code
- Bin a quantitative variable (with the lines of code)
Data sets in sensometry
- Chocolate data sets (description by student, and description by experts)
- Orange juice data sets
- In 2005-06: name of the orange juices, description by Quantitative Descriptive Analysis, description by napping
- In 2006-07:name of the orange juices, description by Quantitative Descriptive Analysis, description by napping
- Preference data: name of the orange juices, preferences
- In 2009-10: name of the orange juices, description by Quantitative Descriptive Analysis, description by categorization
- Biscuit datasets: name of the biscuits, description by Quantitative Descriptive Analysis by the French panel and by the Pakistani panel, description by napping, description by napping and words and preferences data set
- Wine datasets: name of the wines, description by Quantitative Descriptive Analysis by the experts and by two panels of students, description by napping and the preferences dataset
- Cocktail data set: description by Quantitative Descriptive Analysis , by their physico-chemical variables, description by napping and preferences data. The AFM nappes table synthetize all the sensory description
- Perfume dataset: nom, Quantitative Descriptive Analysis by experts and by students , description by sorting task , description by napping (students) and napping (consumers), données de preferences.
- Apple compote data set: the data set