https://github.com/changyeop-yang/study-datasciencefoundation
Big Data Science and its Analytics plays a major role in this decade. How to clean and prepare your data for analysis is still a challenge, like How to perform basic visualization of your data, How to model your data, How to curve-fit your data, And finally, how to present your findings and wow the audience
https://github.com/changyeop-yang/study-datasciencefoundation
data-analysis ios kyungpook-national-university swift
Last synced: 6 months ago
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Big Data Science and its Analytics plays a major role in this decade. How to clean and prepare your data for analysis is still a challenge, like How to perform basic visualization of your data, How to model your data, How to curve-fit your data, And finally, how to present your findings and wow the audience
- Host: GitHub
- URL: https://github.com/changyeop-yang/study-datasciencefoundation
- Owner: ChangYeop-Yang
- License: mit
- Created: 2018-08-09T09:08:48.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-08T15:58:32.000Z (over 6 years ago)
- Last Synced: 2025-04-14T10:59:05.243Z (6 months ago)
- Topics: data-analysis, ios, kyungpook-national-university, swift
- Language: Swift
- Homepage: http://yeop9657.blog.me/221301807513
- Size: 62 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ■ Study-DataScienceFoundation [Kyungpook National University](http://www.knu.ac.kr/wbbs/)
Big Data Science and its Analytics plays a major role in this decade. How to clean and prepare your data for analysis is still a challenge, like How to perform basic visualization of your data, How to model your data, How to curve-fit your data, And finally, how to present your findings and wow the audience
## ★ Proejct Development Environment
* XCODE Version 9.4
* Tableau Desktop Professional Edition 2018.1.1 64bit
* Apple Swift Version 4.1.2
* macOS High Sierra Version 10.13.
* Google Fusion Tables Version Beta
## ★ Course Registration
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## ★ Project Outline
There are many kinds of big data. Among them, sensor data are most widely used and are in the
limelight in the fourth industry. Therefore, we decided to collect data on the environment
(temperature, illumination, air quality, noise) at home through the Arduino to get indirect
experience of the fourth industry. In addition to this, to give an example of the classification of
big data, we have added a topic that can analyze the most popular car models in a given area by
collecting car models and location data when a car is taken with a mobile application.
## ★ Project Report
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## ★ Demo Play for Application
## ★ REFERENCE
:airplane: [Apache Hadoop - Wikipedia](https://ko.wikipedia.org/wiki/%EC%95%84%ED%8C%8C%EC%B9%98_%ED%95%98%EB%91%A1)
:airplane: [Core ML - Apple Developer](https://developer.apple.com/documentation/coreml)
:airplane: [Hadoop - Apache Hadoop](http://hadoop.apache.org/)
:airplane: [Big Data Analytics - YouTube](https://www.youtube.com/playlist?list=PLd1DDyoEDVmbvNUf6m6VjKh6KUqQt2UDd)
:airplane: [Google Fusion Tables - Google Drive](https://sites.google.com/site/fusiontablestalks/stories)
:airplane: [iOS APP Operation GIF - gifs](https://gifs.com/gif/ios-voMgvX)
## ★ Developer Information
|:rocket: Github QR Code|:pencil: Naver-Blog QR Code|:eyeglasses: Linked-In QR Code|
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