IMDb Horror: Chilling Movie Dataset

The IMDb Horror Movie Dataset is a comprehensive collection that opens the doors to a rich and captivating realm of horror cinema. This dataset presents a trove of information on spine-chilling films, enabling enthusiasts, researchers, and data scientists to explore and analyze the intriguing world of horror movies.

The dataset consists of eight essential columns, each providing valuable details to delve into the depths of the horror genre:

Movie Title: This column holds the names of the horror movies, acting as unique identifiers for each entry. From iconic classics to modern masterpieces, this dataset covers a wide range of eerie titles.

Movie Year: The year of release provides a temporal perspective, allowing researchers to observe how horror movies have evolved over time. Uncover trends, shifts in storytelling, and the impact of societal influences on the genre.

Runtime: Discover the duration of each horror movie. Analyze movie lengths to identify patterns and explore potential correlations between runtime and audience reception.

Genre: Delve into the diverse range of horror subgenres represented in this dataset. From supernatural and psychological thrillers to slasher films and creature features, the genre column allows for in-depth analysis of thematic variations.

Rating: Explore the overall ratings assigned to horror movies by IMDb users. Assess critical and audience reception, uncover highly acclaimed films, and identify hidden gems in the horror genre.

Director: Gain insights into the minds behind the terror. The director column reveals the names of the visionary filmmakers who crafted these spine-tingling experiences. Investigate the works of renowned horror directors and examine their stylistic choices.

Votes: Understand the level of audience engagement by examining the number of votes each movie has received on IMDb. Analyze the popularity and reach of different horror movies, identifying fan favorites and cult classics.

Gross: Explore the financial success of horror movies with the gross column. Discover which films have resonated with audiences and generated significant box office earnings.

With this dataset, users can embark on a journey to unravel horror movie trends, dissect audience preferences, and examine the impact of various factors on the success of horror films. Researchers can analyze the influence of directors, genre preferences across different years, correlations between runtime and ratings, or investigate the relationship between box office performance and critical acclaim.