Many Eyes is a public web site that allows users to upload data, create interactive visualizations, and engage in discussions. The goal of the site is to support large-scale collaboration around visualizations by fostering a social style of data analysis where visualizations serve as both discovery tools and mediums for discussion. The site includes novel mechanisms for end-user creation of visualizations and asynchronous collaboration around them. The paper describes the design and deployment of Many Eyes, along with preliminary reports on user activity. The paper discusses the challenges of end-user creation and the unique environment of open web-based collaboration. It describes the design of the site, focusing on enabling end-user creation of visualizations and fostering large-scale collaborative usage. The design decisions fall into three areas: information visualization, end-user data collection and manipulation, and the social aspects of collaborative analysis. The paper also discusses related work, including asynchronous collaborative visualization and end-user construction of visualizations. Many Eyes is modeled after participatory sites like Flickr and YouTube. The site allows users to upload data, create visualizations, and leave comments on data sets or visualizations. The site includes a discussion forum for each visualization and data set, and users can easily link to other visualizations on the site. The site has been featured in several prominent blogs and mainstream media outlets, providing a steady stream of visitors. Data is at the root of all activity on Many Eyes. Users can upload their own data, which can be used to create visualizations. The data model used by Many Eyes is a table, with each column having a type (text or numeric). The site also supports unstructured text data. Users can upload data via an HTML form, and the system makes a guess about the type of each column. Users can override the automatic type choice. The visualization technology in Many Eyes consists of a set of individual components that represent different display techniques. Users can create visualizations by combining a component with a data set. The site includes a variety of visualization components, including bubble charts, stack graphs for categories, graph drawing, and tag clouds. The site also includes features for end-user data manipulation, such as contextual data transformation and the ability to reorder columns. The site includes social features that allow users to engage in discussions, share insights, and monitor activity on items of interest. Users can leave comments on visualizations and data sets, and the site includes a discussion forum for each visualization and data set. The site also includes features for off-site communication, such as RSS feeds and a "blog this" button that allows users to embed visualizations into their blogs. The paper concludes that Many Eyes has been successful in providing a platform for large-scale collaboration around visualizations. The site has received a significant number of users and has been used to create a wide variety of visualizations. The site has also been used to foster discussions and collaborations around visual data. The paper discusses the future work for Many Eyes, including the addition of new visualization techniques and the expansion ofMany Eyes is a public web site that allows users to upload data, create interactive visualizations, and engage in discussions. The goal of the site is to support large-scale collaboration around visualizations by fostering a social style of data analysis where visualizations serve as both discovery tools and mediums for discussion. The site includes novel mechanisms for end-user creation of visualizations and asynchronous collaboration around them. The paper describes the design and deployment of Many Eyes, along with preliminary reports on user activity. The paper discusses the challenges of end-user creation and the unique environment of open web-based collaboration. It describes the design of the site, focusing on enabling end-user creation of visualizations and fostering large-scale collaborative usage. The design decisions fall into three areas: information visualization, end-user data collection and manipulation, and the social aspects of collaborative analysis. The paper also discusses related work, including asynchronous collaborative visualization and end-user construction of visualizations. Many Eyes is modeled after participatory sites like Flickr and YouTube. The site allows users to upload data, create visualizations, and leave comments on data sets or visualizations. The site includes a discussion forum for each visualization and data set, and users can easily link to other visualizations on the site. The site has been featured in several prominent blogs and mainstream media outlets, providing a steady stream of visitors. Data is at the root of all activity on Many Eyes. Users can upload their own data, which can be used to create visualizations. The data model used by Many Eyes is a table, with each column having a type (text or numeric). The site also supports unstructured text data. Users can upload data via an HTML form, and the system makes a guess about the type of each column. Users can override the automatic type choice. The visualization technology in Many Eyes consists of a set of individual components that represent different display techniques. Users can create visualizations by combining a component with a data set. The site includes a variety of visualization components, including bubble charts, stack graphs for categories, graph drawing, and tag clouds. The site also includes features for end-user data manipulation, such as contextual data transformation and the ability to reorder columns. The site includes social features that allow users to engage in discussions, share insights, and monitor activity on items of interest. Users can leave comments on visualizations and data sets, and the site includes a discussion forum for each visualization and data set. The site also includes features for off-site communication, such as RSS feeds and a "blog this" button that allows users to embed visualizations into their blogs. The paper concludes that Many Eyes has been successful in providing a platform for large-scale collaboration around visualizations. The site has received a significant number of users and has been used to create a wide variety of visualizations. The site has also been used to foster discussions and collaborations around visual data. The paper discusses the future work for Many Eyes, including the addition of new visualization techniques and the expansion of