Latest 10000 Movies Dataset From TMDB

This movies dataset can certainly be used for a variety of purposes, depending on goals and the insights you're looking to derive from the data. Here are some potential use cases for the dataset.

Movie Analysis

Recommendation Systems

Popularity Measurement

Audience Engagement

Comparative Analysis

The dataset consists of various attributes related to movies. These attributes provide information about each entry in the dataset:

1. Index:

• Index for each row

2. Title:

• The title attribute represents the name of the movie.

3. Original Language:

• This attribute signifies the language in which the movie was originally produced. It could offer insights into the target audience and geographical scope of the content.

4. Release Date:

• This attribute indicates when the movie was officially released for public viewing. The release date can impact factors like marketing strategies, competition with other releases, and audience anticipation.

5. Popularity:

• This attribute likely represents the measure of how well-known or talked-about a particular movie is within a given context. It could be based on factors such as online discussions, social media mentions, and viewer interest.

6. Vote Average:

• This attribute likely represents the average rating or score given to the movie by viewers who have voted. A higher average could imply that the content is generally well-received.

7. Vote Count:

• This attribute indicates the number of votes or ratings that the movie has received from viewers. A higher vote count might suggest a larger viewer base or a more engaging content.

8. Overview:

• This attribute provides a concise summary or description of the movie plot, themes, and overall content. It offers a glimpse into what the content is about.