https://github.com/priyamshah112/Data_Analysis-Mining

Demographic Analysis of Service Usage Trends
https://github.com/priyamshah112/Data_Analysis-Mining

Last synced: about 2 months ago
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Demographic Analysis of Service Usage Trends

• Host: GitHub
• URL: https://github.com/priyamshah112/Data_Analysis-Mining
• Owner: priyamshah112
• Created: 2017-10-08T10:19:38.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-09-26T14:04:09.000Z (almost 6 years ago)
• Last Synced: 2024-07-03T06:34:32.135Z (3 months ago)
• Language: Python
• Homepage:
• Size: 1.03 MB
• Stars: 2
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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Data_Analysis-Mining

Demographic Analysis of Service Usage Trends




Mobile apps are software applications designed to run on smartphones, tablets and other mobile devices. They are typically available through app stores which are operated by the owners of the mobile operating system. By 2020, mobile apps are forecast to generate around 189 billion U.S. dollars in revenues via app stores and in-app advertising. Some of the most popular operating system-native stores are Apple's App Store, Google Play, as well as Windows Phone Store and BlackBerry App World. As of March 2017, there were 2.8 million available apps at Google Play Store and 2.2 million apps available in the Apple’s App Store, the two leading app stores in the world. 




Such huge amount of data can be valuable if mined properly based on different characteristics.




DASUT aims to create a basic application to get user data by providing him a valuable output and profit for his data alongwith analyzing those data properly using various Data Analytics and ML tools