A work in constant progress (and occasional regress).
Alias:
นงผณี มหาดไทย
Ja R-Siam
Jah R-Siam
จ๊ะ อาร์สยาม
Born:
May 6, 1991
Nongpanee Mahadthai, performing under the stage name Ja R-Siam, is a Thai, singer and model. Ja graduated from Rajamangala University of Suvarnabhumi. Ja is well known for her 2011 single cover, "Kan Hoo", the singer became a subject of heated debate last years over her lewd dance moves and risque puns. Though most of her success as a recording artist has been in Asia, Ja has also gained popularity in Western countries, due in part to Internet videos which have gone viral. In 2013, Ja joined the label Rsiam.
Most data and links to images for the Movies section come from TheMovieDB (TMDB).
Additional data for Film Titles come from The Open Movie Database (OMDb).
At least one plug-in comes from IMDb.
Data are -- hey, it's a plural -- subject to the limitations of their sources. (For example, TMDB search results currently max out at 20.) I am limiting myself to free data sources for now. (No, a "free trial" is not free.)
While much of the above data are retrieved directly from outside APIs and other such sources, data from American Film Institute (AFI) and British Film Institute (BFI) were manually entered the old fashioned way into a MySQL database. Re BFI I took the following liberties:
Regarding profile removals and data corrections:
Filtering is applied here to film projects flagged as "adult" by TheMovieDB. Pending "popular demand" I am contemplating a login and profile system with preferences (such as whether to allow adult images to appear) and permissions (such as data entry).
Whereas the overall purpose of this website is to serve as a personal demo/portfolio/workshop of web and data skills, this Movies section is not meant to compete with or substitute for far more definitive movie websites.
Whether or not he still clings to an award which he won in 1986 as a film critic for his college's newspaper, Jeffrey Hartmann is not responsible for the texts of overviews and biographies supplied by external data sources.