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Cinematic Landscape 2023
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About
Dive into the cinematic universe of 2023 with a meticulously curated collection of the top 100 movies that defined the year. This data product, titled 'CinePulse 2023,' captures the magic of the silver screen, presenting essential details like duration, audience ratings, and the pulse of the audience. Each entry is a masterpiece in its own right, inviting users to explore the essence of storytelling that captivated viewers worldwide and gain a glimpse into the cinematic landscape of 2023.
Columns
- Name: The title of the movie.
- Rating: The rating assigned to the movie, measured out of 10.
- Votes: The number of global votes received by the movie.
- Runtime: The duration or runtime of the movie, expressed in minutes.
- Genre: The genre or multiple genres to which the movie belongs.
- Description: A brief overview or summary of the movie's plot.
Distribution
The data is structured as a CSV file (
moviesdataset_2023.csv) and contains 7 columns, detailing 100 top films. The file size is approximately 24.06 kB. While the majority of the data fields are fully validated, minor missing values are present in the Rating, Votes, and Runtime columns.Usage
This data product is ideal for several applications:
- Exploratory Data Analysis (EDA): Use descriptive statistics to understand the distribution of ratings, votes, and durations.
- Visualisation: Create bar charts or histograms to illustrate rating and vote distributions, or use pie charts to display genre distribution. A scatter plot can be used to visualise the relationship between runtime and ratings.
- Filtering and Sorting: Identify the highest-rated or most popular movies by sorting the collection or filtering for specific rating thresholds or minimum vote counts.
- Insights and Recommendations: Discover trends in movie ratings by genre and develop recommendation systems based on user preferences.
- Integration: Merge this data with external information, such as box office earnings, awards won, or details about production companies, actors, and directors, for expanded analysis.
- Machine Learning (Optional): Utilise clustering algorithms to group movies based on similarities in features, or build predictive models for ratings if external labelled data is available.
Coverage
This collection strictly covers the Top 100 movies released during the calendar year 2023. The data represents a static snapshot; the expected update frequency is 'Never.'
License
CC0: Public Domain
Who Can Use It
- Data Analysts and Scientists: To practise data analysis, data cleansing, and advanced visualisation techniques.
- Film Enthusiasts and Critics: To analyse audience metrics and film attributes of the year's leading titles.
- Students and Researchers: For academic projects focused on movie trends and industry patterns.
Dataset Name Suggestions
- CinePulse 2023
- 2023 Reel Royale
- Top 100 Films of 2023
- Cinematic Landscape 2023
Attributes
Original Data Source: Cinematic Landscape 2023
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