Tweetalytics Trends Dataset

This dataset is a curated collection of tweets, carefully gathered from the vast Twitter ecosystem. It is designed for analyzing trends and patterns within Twitter data. This valuable resource serves researchers, data scientists, and enthusiasts eager to explore the dynamics of social media communication. It offers an in-depth understanding of trends, sentiments, and user behaviour within the Twitterverse, spanning diverse topics, industries, and regions. With this dataset, users can unlock the power of social media data to fuel research, drive innovation, and gain a deeper understanding of the world through the lens of Twitter.

The dataset is typically provided in a CSV format, with the main data file named twitter_dataset.csv. It comprises six distinct columns. The total size of the dataset, including associated files, is approximately 2.73 MB across two files. Specific numbers for total rows or records are not available. One of the included files is a PNG image, which serves as a mask image often used in data visualisation, particularly for creating word clouds.

This dataset is ideal for a variety of analytical applications and use cases. Users can analyze engagement metrics, track the evolution of hashtags, and uncover influential users. It facilitates gaining insights into the ever-changing landscape of online conversations. It is perfect for social media analytics, trend identification, sentiment analysis, and studying user behaviour patterns. The data can fuel research projects, drive innovation in social media understanding, and provide a deeper understanding of global communication trends.

The dataset spans diverse topics, industries, and regions, reflecting a broad spectrum of social media communication. The timestamps observed within the sample data range from January 2023 to April 2023. Further specific details on geographic or demographic scope beyond broad diversity are not available.

This dataset is intended for a broad audience, including researchers, data scientists, and enthusiasts. They can utilise it for exploring the dynamics of social media communication, conducting analyses of trends and patterns, and generally exploring the Twitterverse. It is particularly valuable for those interested in understanding social media data for academic, analytical, or developmental purposes.

Original Data Source: Tweetalytics Trends Dataset