# Twitter Stat Tools Xefer Analyzes Usage & Habits By Ayman | Published 2008-05-02 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/xefer References: [notcot.org](http://www.notcot.org/post/10325/) & [xefer](http://xefer.com/twitter/) With so many people addicted to [Twitter](https://www.trendhunter.com/trends/thats-one-second), it would be neat to view a chart of a person's tweets statistics, giving an insight into their habits and usage patterns. Powered by Yahoo Pipes & Google Charts, [xefer](http://xefer.com/twitter)allows you to create scatter plots and charts of a Twitter user's tweets. You can choose to view the data by hour, day of the week, month or a combination of those. I am not sure what practical use such a tool will serve, but I think it is cool nonetheless. ## Trend Insights (Trend Hunter) - Score: 1.6/10 - Popularity: 8% | Activity: 33% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial - Top markets: North America, Europe ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) ## Key Themes ### Key Themes Behind This Trend - **Social Media Analytics:** Developing new tools for analyzing social media usage patterns can give insight into consumer behavior and social trends. - **Data Visualization:** Creating more visually appealing ways to display data can make it easier to understand and interpret, and can lead to new insights and discoveries. - **Artificial Intelligence and Machine Learning:** AI and machine learning algorithms can be applied to social media data to uncover hidden patterns and insights that would otherwise be difficult or impossible to find. ### Where This Applies - **Marketing and Advertising:** Developing social media analytics tools can help businesses better understand their customers and target their advertising to be more effective. - **Social Media Platforms:** Integrating data visualization tools into social media platforms can enhance the user experience and provide more valuable insights to users. - **Data Science and Analytics:** Applying AI and machine learning techniques to social media data can lead to new discoveries and insights in the field of data science and analytics. ## Related on Trend Hunter - [Activity Visualization Tools](https://www.trendhunter.com/trends/3d-bluesky-chart.md) - [Visualized Social Media Data](https://www.trendhunter.com/trends/instagraph.md) - [Viewing Behavior Insights](https://www.trendhunter.com/trends/ythistory.md) - [Music Visualization Charts](https://www.trendhunter.com/trends/spotify-pie-chart.md) - [Decentralized Social Analytics](https://www.trendhunter.com/trends/graphtracks.md) - [Interactive Fame Countdowns](https://www.trendhunter.com/trends/thats-one-second.md) - [Instant Data Visualization](https://www.trendhunter.com/trends/instacharts.md) - [Rapid Visualization Tools](https://www.trendhunter.com/trends/graphfast.md) - [Visual Habit Tracking](https://www.trendhunter.com/trends/cly-pixel.md)