is not available in the free portion of the Ranker Insights data graph. To learn more about our custom data collection, DMP & API integrations please contact us.
Interested in More Insights on ?
Additional correlations are not available in the free portion of the Ranker Insights data graph. To learn more about our custom data collection, DMP & API integrations please contact us.
Interested in More Insights on ?
Additional data is available for you to preview. Drill deeper into Ranker Insights data. Contact us to request access.
Affinity Scores express the strength of the relationship between two items. The scores are calculated based on Ranker and Watchworthy visitors who have voted on both of these items. The more people that vote similarly, the stronger the relationship.
Learn more about Ranker Insights Affinity Scores in our Help Guide
Don is a 2006 Indian action thriller film directed by Farhan Akhtar, and produced by Ritesh Sidhwani under Excel Entertainment. The film stars Shah Rukh Khan in a double role, opposite Priyanka Chopra, while Arjun Rampal, Boman Irani, Isha Koppikar and Om Puri appear in supporting roles. It is a remake of the 1978 film of the same name, and follows a simple man from the city of Mumbai in western India who is secretly recruited by a police officer to masquerade as "Don," the ruthless leader of an international chain of drug smugglers.
The film hit theaters worldwide on 20 October 2006, and screened at the Berlin Film Festival. Upon release, the film received a mixed critical response, but it grossed over 1.05 billion worldwide. It spawned a sequel in 2011, Don 2, which was an even bigger success than the original.
The PDF export supports a maximum of 100 selections per section. Please adjust your selections so they don’t exceed 100.
Tip: Use the Excel option instead if you need a full export of all correlations
Action | 1995 | Budget $1.8M | Box Office $16MShah Rukh Khan, Salman Khan, Kajol
About This Data
Scores are based on affinity (correlated voting by visitors to Ranker.com). Positive numbers show the degree of positive affinity for an item by fans of another item; negative numbers show the degree of negative sentiment.