The Magic Kingdom theme park at Walt Disney World in Florida, United States, reported over 17.7 million visitors in 2023. Despite welcoming more guests in 2023 than it did in 2022, the amusement park was not able to reach pre-pandemic levels of attendance that year. Theme parks - additional information The most visited theme park worldwide, Walt Disney World Magic Kingdom, located in Florida, reports increasing visitor numbers each year. However, this decreased slightly in 2016, during which attendance at the park was around 20.4 million. Disney's theme parks are not only ranked high in the United States. Disneyland Park in France received 9.93 million visitors in 2022 - almost twice that of its closest European competitor, De Efteling which counted 5.43 million attendees. SeaWorld In recent years, the controversial use of killer whales in shows and performances at SeaWorld parks has been the topic of public debate. In February 2010, a captive killer whale located at the SeaWorld park in Florida killed its trainer during a show. That year, the park reported a decline in visitor numbers. Declining visitor numbers at the SeaWorld theme park in California were also reported during the same year.

Ce dataset met à disposition de manière interopérable les données mises à disposition par le Vice-rectorat de Nouvelle-Calédonie Les données d'origine sont consultables sur la page dédiée "Le calendrier scolaire".

💡 Pourquoi ce dataset ?

Les vacances scolaires ont un gros impact sur le rythme des villes telles que:

• 🏙️ Le traffic urbain et péri-urbain
• 🅿️ Le stationnement en ville
• 🏢 Le congés des collaborateurs en entreprise
• 🏖️ La fréquentation des lieux de vie commune (plages, parcs naturels, parcs d'attraction, centre ville, terrasses, cinémas,...)
• 🏛️ La fréquentation des services publics (les files d'attente en agence et son impact sur les parking)
• 🚌 La fréquentation des transports publics

🧪 Innovation, recherche scientifique, machine learning

Egalement, ce dataset a pour ambition de permettre la création de modèles prédictifs, par exemple, cf Predicting Disney World Wait Times with Neural Networks :

there are trends that go beyond the wait time fluctuations in a single day. This means that, at the moment, if you were to look at the predictions for Thanksgiving 2016 or some other holiday, Park Genius would underestimate the wait times. Unless a historical data archive can be used for training, the prediction model will not be accurate for special days, like holidays, until after they've already occurred in 2016.

🤗 Tech for good

L'ambition de ce dataset est de permettre de faire du lien aisément dans le but d'**améliorer la qualité de vie des calédoniens**, par exemple en produisant des modèles prédictifs ou tout simplement pour automatiser des traitements.