Film Classification Database (2022 to 2024)

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Data explorer

FilmClassificationDatabase2022to2024.csv (5K rows, 4.2 MB)

Year Year (YYYY)	Title Text	Aka Text	Romanised Title Text	Actor Text	Producer Text	Director Text	Language Text	Format Text	Region Text	Rating Text	Decision Text	Duration Text	Distributor Text	Consumer Advice Text	More Info Text	General Info Text	Decision Date Text	Episode Title Text	Episode Text
(Null)0.0% 202233.9% 202335.6% 202430.6%	(Null)0.0%	(Null)77.4% ????0.6% ??????0.5% ?????0.5% ???????0.3%	(Null)60.1%	(Null)0.8%	(Null)40.7%	(Null)4.3%	(Null)1.4%	(Null)0.9% Others66.6% DCP26.2% DVD4.3% Hard Drive0.6%	(Null)97.0% 11.3% FREE0.4% 010.3% A0.2%	(Null)2.0% PG34.4% PG1324.7% NC1623.6% M1810.7%	(Null)0.0% Passed Clean87.0% Passed Clean with Condition8.4% Exemptible2.0% Passed Clean Edited1.9%	(Null)0.0% 31.6% 41.7% 51.8% 61.6%	(Null)95.5% N/A 0.6% ABSOLUT MEDIEN0.2% STUDIO DISTRIBUTION SERVICES0.2% SONY PICTURES HOME ENTERTAINMENT0.2%	(Null)31.3% Some Violence3.9% Violence2.2% Some Violence ??????1.7% Some Coarse Language ??????1.7%	(Null)97.3% This title is exempted from classification.1.1% This title is exempted from classification. 0.3% This title can be exempted from classification.0.1% This title is exempted from classification0.1%	(Null)35.0%	(Null)0.0% 20-10-220.8% 27-10-220.5% 23-11-230.5% 12-09-230.5%	(Null)98.6% ????<0.1% ?????? (2023)<0.1% ???????<0.1% ????????<0.1%	(Null)98.6% 1 TO 200.3% 1 TO 250.2% 1 TO 300.2% 1 TO 100.1%
2022	ALI & AVA (2021)	na	na	ADEEL AKHTAR,CLAIRE RUSHBROOK,ELLORA TORCHIA,SHAWN THOMAS	TRACY O’RIORDAN	CLIO BARNARD	ENGLISH	Others	na	NC16	Passed Clean	104	na	Coarse Language	na	“Ali and Ava” revolves around a middle-aged man and woman from different backgrounds who find love despite their respective families’ unhappiness. The film is rated NC16 with the consumer advice of “Coarse Language”.The film contains frequent utterances of the expletive “f**k”. This would be more appropriate under a NC16 rating. Other coarse language used includes “bastard”, “idiot” and “shit”.The film also contains some mild depictions of violence and verbal references to domestic abuse.	25-10-22	na	na
2022	ANGKAT TINGKAT (2022)	na	ANKGAT TINGKAT	RAYMOND KHOO,KATHRYN HO,MERLIN PILLAY,JACOBS PREMLA DAISY	HAZIRAH BINTE ALAM	HAZIRAH BINTE ALAM	ENGLISH	Others	NA	na	Exemptible	11	NA	na	na	na	11-04-22	na	na
2022	GRIT (2018)	na	na	DIAN KARINA MAHARANI,HARWATI,KHATRINA MAHARANI,ABURIZAL BAKRIE	na	CYNTHIA WADE AND SASHA FRIEDLANDER	MALAY & BAHASA INDONESIAN	Others	NA	PG	Passed Clean	81	NA	na	na	‘Grit’ is a documentary revolving around villagers in Sidoarjo, East Java Indonesia demanding compensation from a natural gas company which drilling activities had caused irreparable damage to their village and affected their livelihood.The film is rated PG.Parental guidance is recommended as the documentary contains some depictions of the villagers protesting. The film also contains some mild coarse language like “damn” and “bullshit” which are seen in the English subtitles.	20-01-22	na	na
2022	HOLDING SPACE	na	HOLDING SPACE	YE THU,WADDY (VOICE),-,-	na	YE THU	ENGLISH AND SOME BURMESE (WITH ENGLISH SUBTITLES)	Others	NA	PG	Passed Clean	4	NA	na	na	na	18-07-22	na	na
2022	HOLY SPIRIT (JESUS CULTURE)	HOLY SPIRIT (JESUS CULTURE) (CITY HARVEST CHURCH)	na	-,-,-,-	na	NA	ENGLISH	Others	NA	PG	Passed Clean with Condition	3	NA	na	na	na	27-10-22	na	na
2022	HOME PLANET	na	na	PETER LOW ZHI QIN,LEONG WAI TUCK,DHARON LIEW	na	MAXIMILIAN LIANG	MANDARIN	Others	NA	PG	Passed Clean	14	NA	na	na	na	09-09-22	na	na
2022	MERE DESH KI DHARTI	na	na	DIVYENNDU SHARMA,ANANT VIDHAAT,ANUPRIYA GOENKA,INAAMULHAQ	VAISHALI SARWANKAR	FARAZ HAIDER	HINDI (WITH ENGLISH SUBTITLES)	DCP	NA	PG	Passed Clean	142	NA	Some Coarse Language	na	‘Mere Desh Ki Dharti’ is a Hindi film about how two down-trodden graduates change the lives of farmers in the countryside. The film is rated PG with the advisory of “Some Coarse Language”.Parental guidance is recommended as the film contains a brief passing scene that depicts the aftermath of a suicide where the body is seen hanging from the noose. The film also contains some partially spelled-out expletives in the English subtitles.	13-05-22	na	na
2022	MY CHURCH MY LIFE	MY CHURCH MY LIFE (CITY HARVEST CHURCH)	na	-,-,-,-	na	NA	ENGLISH	Others	NA	PG	Passed Clean with Condition	8	NA	na	na	na	03-11-22	na	na
2022	ARIAFERMA (2021)	THE INNER CAGE	na	TONI SERVILLO,SILVIO ORLANDO,FABRIZIO FERRACANE,SALVATORE STRIANO	na	LEONARDO DI COSTANZO	ITALIAN (WITH ENGLISH SUBTITLES)	Others	NA	PG13	Passed Clean	117	NA	Some Coarse Language些许粗俗语言	na	“Ariaferma (The Inner Cage)” is an Italian film that follows a group of inmates who are brought to a decommissioned prison before they are transferred elsewhere, featuring the dynamics between the prisoners and the prison guards.The film is rated PG13 with an advisory of “Some Coarse Language”.The film contains some use of the expletive “fk”, as reflected in the English subtitles. Under the PG13 Classification Guidelines, “infrequent use of coarse language such as the expletive ‘fk’” is permitted.	08-08-22	na	na
2022	20220924-25 - THE ISRAELITES CROSS THE JORDAN (JOSHUA 3-4) (SADDLEBACK KIDS)	20220924-25 - THE ISRAELITES CROSS THE JORDAN (JOSHUA 3-4) (SADDLEBACK KIDS) (CITY HARVEST CHURCH)	na	na	na	na	ENGLISH	Others	na	PG	Passed Clean with Condition	3	na	na	na	na	19-08-22	na	na

Column legend

Title	Column name	Data type	Unit of measure	Description
Year	year	Year (YYYY)	-	-
Title	title	Text	-	-
Aka	aka	Text	-	-
Romanised Title	romanised_title	Text	-	-
Actor	actor	Text	-	-
Producer	producer	Text	-	-
Director	director	Text	-	-
Language	language	Text	-	-
Format	format	Text	-	-
Region	region	Text	-	-

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
dataset_id = "d_ee0231c767e05c37f61e01923df2e461"
url = "https://data.gov.sg/api/action/datastore_search?resource_id="  + dataset_id 
        
response = requests.get(url)
print(response.json())

Data explorer

FilmClassificationDatabase2022to2024.csv (5K rows, 4.2 MB)

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