Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/72213
Title: Synphne accelerated stroke rehabilitation system : data analytics and cloud computing (Business Data)
Authors: Sufyan Mohamad Ali
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2017
Abstract: This final year project involved the analyzing and interpreting data using Microsoft Excel and R Studio. Visualizations of data were achieved in R Studio if Microsoft Excel was unable to. Several real live examples by Amazon, Target, Wal-Mart, BP and many more were explained with the companies using Big Data to improve their profit and productivity. Online courses to learn the R language, R Studio and Data Analysis were required for the completion of this project. R Studio was used to analyze and visualize the data. Microsoft Excel was used to rearrange the data. There were 7 steps in the data analysis. Data was retrieved from the Big City Health Coalition. 5 indicators from the Chronic Diseases section were analyzed. Histogram was used to find the highest count of values for the required settings. Scatterplot matrix with linear regression was used to have an overview of which variable have associations with which. A linear regression equation was acquired upon comparing the associated variables. In the end, using analytic tools and steps, it is possible to obtain critical metrics.
URI: http://hdl.handle.net/10356/72213
Schools: School of Mechanical and Aerospace Engineering 
Organisations: SynPhNe Pte Ltd
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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