This analysis will be done without the pydata stack. You can download the data set directly from this link. 'dofuspourlesnoobs' est un site non-officiel sans aucun lien avec Ankama.
![dofus advent calendar 2017 dofus advent calendar 2017](https://2.bp.blogspot.com/-0rOYuctRy6o/WeTQ4_NwfII/AAAAAAAAAMk/uKCC8uxpl4cvQannMnw-ZqIlaT7c2jK3wCEwYBhgL/s1600/asos%2B2.png)
03 Décembre : 02 Décembre : 01 Décembre : La section commentaire est fermée. You can download the data set directly from this linkĬontaining data about approximately 7,000 iOS apps from the App Store the data was collected in July 2017. Retrouvez-ici les solutions du Calendrier de lavent 2017 pour chaque jours : 16 Décembre : 15 Décembre. A data set containing data about approximately 10,000 Android apps from Google Play the data was collected in August 2018.Luckily, we have two data sets that seem suitable for our goals: To avoid spending resources on collecting new data ourselves, we should first try to see if we can find any relevant existing data at no cost. The apps are also targeted at the english-speaking market The Data SetĪs of September 2018, there were approximately 2 million iOS apps available on the App Store, and 2.1 million Android apps on Google Play.Ĭollecting data for over 4 million apps requires a significant amount of time and money, so we'll try to analyze a sample of the data instead. Note that at this company we only develop free apps thus most of our revenue comes from in-app Ads, therefore, we should build apps that have the highest number of users. Our team of developers want to know what kind of app to build for both markets that would deliver the most profit. In this project the assumption is that we are working for a company building applications for both the Google Play Store and the IOS app store. Project: Profitable App Profile(App Store & Google Play)