Data Analysis in Movie Tickets Online Booking

Movie ticket booking websites are the excellent resources to find detailed information about movie industry. They store a vast amount of data, which undoubtedly contains much valuable information about general trends in movies and customer Behavior.This paper considered 900 thousands Orders of a Movie ticket booking website. In particular, we concentrate on attributes such as movie, movie genre, reserve time, sequence time, ticket counts and price. And research some facts about movie industry.×Crisp-DM1methodology as a typical data mining process is performed and python programing language is used for data analytics. Data mining process generally consists of three major steps, Preprocess, Process, and Post-process. Preprocess has 4 major components named data collection, data cleaning, data reduction, and data transfer. Variety of methods were gathered for pattern recognition like statistical techniques, association rules, and time series. The results presented as patterns and graphs at the end.

Keywords:

Movies , Data mining , Association Rules , Time Series , Python