Dataset Overview: The 16k Movies Dataset contains information on 9,000 movies, covering a range of attributes related to the movie's release, ratings, and key production personnel. This dataset is ideal for exploring trends in movie ratings, the influence of directors and writers on film reception, and the relationship between runtime and viewer engagement.
This scatter plot visualizes movie ratings (Y-axis) against their release dates (X-axis), providing an overview of how movie ratings have evolved over time.
X-Axis (Release Date):
The X-axis represents the release date of each movie.
Using a scaleTime
for this axis allows for a
chronological view of movie ratings from older films to
more recent releases.
Y-Axis (Rating):
The Y-axis represents the movie's average rating on a
numerical scale. Higher-rated movies appear towards the
top, and lower-rated movies towards the bottom.
Data Points (Movies):
Each point represents a movie, positioned based on its
release date (X) and its rating (Y). This visualization
makes it easy to compare individual movies' ratings
across different time periods.
Trends Over Time:
It is possible to observe how movie ratings have changed
over the years, potentially identifying periods where
movie ratings were consistently higher or lower.
Outliers:
Movies with exceptionally high or low ratings for their
time period can easily be identified as outliers in the
plot.
Clusters:
Clusters of points may indicate periods with a large
number of highly-rated or poorly-rated films.
This scatter plot effectively shows temporal trends in movie ratings, offering a clear comparison of ratings across different eras of cinema.
Dataset Breakdown:
Title: The title of the movie. Release Date: The date when the movie was released. Description: A brief summary of the movie. Rating: The movie’s average user rating. No of Persons Voted: Number of people who voted to determine the movie’s rating. Directed by: The director(s) of the movie. Written by: The writer(s) of the movie. Duration: The movie’s runtime in hours and minutes. Genres: The genres associated with the movie, such as Drama, Mystery, or Romance. Link to the original source:https://www.kaggle.com/datasets/kashifsahil/16000-movies-1910-2024-metacritic