Baselight

Pinterest - Snapshot Of Popularity And Engagement

Weird titles and repins have a connection

@kaggle.oneliwickramasinghe_pinterest_snapshot_of_popularity_a_ec019c12

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About this Dataset

Pinterest - Snapshot Of Popularity And Engagement

Dataset Description: "Top Pinterest Influencers - A Snapshot of Popularity and Engagement"

Overview

This curated dataset encapsulates the essence of popularity and engagement on Pinterest, focusing on pins from the top five most followed accounts on the platform as of 2024. It provides an insightful glimpse into what captivates the audience on one of the world's leading social media platforms, highlighting the content that resonates most with its vast user base.

Data Science Applications

The dataset's structure and content make it ideal for a variety of data science applications, including:

  • Content Analysis: Explore the themes and subjects in the descriptions and titles of the most popular pins.
  • Popularity Metrics: Utilize repin counts to measure content virality and audience interest.
  • Trend Identification: Identify trending topics and styles among top Pinterest influencers.
  • NLP (Natural Language Processing): Analyze textual data for sentiment analysis, keyword extraction, and trend prediction.

Column Descriptors

The dataset is concise yet informative, comprising the following columns:

  1. ID: A unique identifier for each pin, facilitating easy reference and analysis.
  2. Description: The textual description provided for each pin, offering insights into the content and its appeal.
  3. Title: The title of the pin, which may contain key information or keywords relevant to the content.
  4. Repin Count: A quantitative measure of the pin's popularity, indicating how often it has been repinned by users.

Ethically Mined Data

This dataset upholds the highest standards of ethical data collection. It has been compiled with respect for user privacy and in alignment with Pinterest's data usage policies. By focusing on publicly available data such as pin descriptions and repin counts, the dataset ensures respect for individual privacy while providing valuable insights for analysis.

Acknowledgements

We are thankful to the vibrant community of Pinterest and its top contributors whose creativity and engagement have made this dataset possible. Their dedication to sharing and curating content has offered us a window into the dynamics of social media engagement and content popularity.

Tables

Pinterest Finalised

@kaggle.oneliwickramasinghe_pinterest_snapshot_of_popularity_a_ec019c12.pinterest_finalised
  • 316.8 KB
  • 5000 rows
  • 4 columns
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CREATE TABLE pinterest_finalised (
  "id" BIGINT,
  "description" VARCHAR,
  "title" VARCHAR,
  "repin_count" BIGINT
);

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