Pinned Repositories
Analysis_of_Movie_Franchises_Success
The analysis looks at how the movie franchises succeed in the box office records and the critical factors contributed to their successes. In addition, the profit used for box office record measures was readjusted with the historical inflation rates. The movie data were collected over multiple website including Kaggle, IMDB, the Bureau of Labor Statistics, the-numbers.com. The data scraping and analysis were performed in R.
Analyzing_Resesearch_Project_Data-codes-only
Codes used to run different types of analysis, data visualization, equipment calibration and troubleshooting, etc.
Blight_Property_Prediction_Modeling
Explore property data (including crime, sales, blight rating, property tax, etc.) with SAS and Tableau. Characterize the relationships among different factors, and identify some factors that significantly associated with blight properties.
NBA_Twits_2017_Mining
Scrape data from twitter and text mining & analysis using R packages. Tweets were collected with the label #nba and their content were clustered and analyzed.
Public_VS_Private_Hospital_Comparison
Compare public and private hospital ratings and map the rating differences on several service measurements, of which the poor quality potentially contributes to a lower rating. Analysis were performed in R.
Structure_Data_Processing_Pipeline
Script Python and HPC commands in Shell to run pipeline and process research (crystallographic) data
Whole_Foods_Equity_Research_Financial_Analysis
This report analyzed KPIs to assess Whole Foods' financial health and performance. It benchmarked the peer retailers, revealing critical success factors and each business model's strengths and weaknesses. A regression model forecasted Whole Foods' revenue growth, and CAPM estimated the future stock trend to provide recommendations to shareholders.
minirookie's Repositories
minirookie/Analysis_of_Movie_Franchises_Success
The analysis looks at how the movie franchises succeed in the box office records and the critical factors contributed to their successes. In addition, the profit used for box office record measures was readjusted with the historical inflation rates. The movie data were collected over multiple website including Kaggle, IMDB, the Bureau of Labor Statistics, the-numbers.com. The data scraping and analysis were performed in R.
minirookie/Analyzing_Resesearch_Project_Data-codes-only
Codes used to run different types of analysis, data visualization, equipment calibration and troubleshooting, etc.
minirookie/Blight_Property_Prediction_Modeling
Explore property data (including crime, sales, blight rating, property tax, etc.) with SAS and Tableau. Characterize the relationships among different factors, and identify some factors that significantly associated with blight properties.
minirookie/NBA_Twits_2017_Mining
Scrape data from twitter and text mining & analysis using R packages. Tweets were collected with the label #nba and their content were clustered and analyzed.
minirookie/Public_VS_Private_Hospital_Comparison
Compare public and private hospital ratings and map the rating differences on several service measurements, of which the poor quality potentially contributes to a lower rating. Analysis were performed in R.
minirookie/Structure_Data_Processing_Pipeline
Script Python and HPC commands in Shell to run pipeline and process research (crystallographic) data
minirookie/Whole_Foods_Equity_Research_Financial_Analysis
This report analyzed KPIs to assess Whole Foods' financial health and performance. It benchmarked the peer retailers, revealing critical success factors and each business model's strengths and weaknesses. A regression model forecasted Whole Foods' revenue growth, and CAPM estimated the future stock trend to provide recommendations to shareholders.