gironde: A real dataset called gironde
In QuantifQuantile: Estimation of Conditional Quantiles using Optimal Quantization

gironde is a real dataset collected by the INSEE (French National Institute of Statistics and Economic Studies) and extracted by SIDDT from IRSTEA (French National Research Institute of Science and Technology for Environment and Agriculture) of Grenoble. It contains different variables collected in 542 towns/villages in Gironde, France.

1	data(gironde)

The format is a list of 4 components: $employment: A data-frame of numerical variables containing, for 542 towns/villages in Gironde (France), the percentages of farmers ($farmers), of tradesmen and handicraftsmen ($tradesmen), of managers and executives ($managers), of workers and employees ($workers), of unemployed workers ($unemployed), of middle-range employees ($middleemp), of retired people ($retired), the employement rate ($employrate) and the average income ($income);

$housing: A data-frame of both numerical and categorical variables containing, for 542 towns/villages in Gironde (France), the population density ($population), the percentages of primary residences ($primaryres), of houses ($houses), of home owners living in their primary residence ($owners) and of council housing ($council);

$services: A data-frame of categorical variables containing, for 542 towns/villages in Gironde (France), the numbers of butchers ($butcher), of bakers ($baker), of post offices ($postoffice), of dentists ($dentist), of grocery stores ($grocery), of child care day nurseries ($nursery), of doctors ($doctor), of chemists ($chemist) and of restaurants ($restaurant);

$environment: A data-frame of numerical variables containing, for 542 towns/villages in Gironde (France) the percentages of buildings ($building), of water ($water), of vegetation ($vegetation) and of agricultural land ($agricul).

INSEE (French National Institute of Statistics and Economic Studies) and SIDDT of IRSTEA Grenoble, France, http://siddt.irstea.fr/.

QuantifQuantile documentation built on May 2, 2019, 2:10 a.m.