The works in this repo are to demonstrate skill sets in the area of data acquisition (web crawling), cleaning/preprocessing (Python/R), storage/query (SQL), data analysis, machine learning, and visualization (JavaScript).
To showcase the skillsets in each area, I crawled some data sets related to automotive industry and did basic analysis of the datasets.
The statistics cover three aspects of the automotive industry:
I. Car sales data by Brand (2016 May YTD vs 2017 May YTD)
II. Car sales data by Global Region (2005-2016)
III. Car resale market (car attributes and resale prices)
The dashboard on point I & II is available at:
https://shusir.github.io/Demo/Dashboard.html
Some basic analysis in R on point II is available at:
http://rpubs.com/ShuSir/resale_car_analysis
A mini-project on SG private housing prediction is developed based on URA public data. The report is available at:
https://shusir.github.io/Demo/condo_prediction.html