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An interactive interface was applied to plot a choropleth map to show global cancer distribution, and line charts to demonstrate historical cancer trends over 29 years. Subgroup analyses were conducted for different age groups. With real-time interactive features, one can easily explore the data with a selection of any cancer type, gender, age group, or geographical region. This platform is running on the cloud, so it can handle data in huge volumes, and is accessible by any computer connected to the Internet. IBM Watson Analytics released a latest version named \u201cIBM Watson Analytics New User Experience\u201d in the end of 2016. The new version streamlined the process to add data, discover data meaning and display result visually. The authors discuss the new features in the end of this paper.<\/jats:p>","DOI":"10.4018\/ijhisi.2018010104","type":"journal-article","created":{"date-parts":[[2017,11,8]],"date-time":"2017-11-08T10:48:28Z","timestamp":1510138108000},"page":"45-54","source":"Crossref","is-referenced-by-count":7,"title":["Data Visualization with IBM Watson Analytics for Global Cancer Trends Comparison from World Health Organization"],"prefix":"10.4018","volume":"13","author":[{"given":"Kelvin K. F.","family":"Tsoi","sequence":"first","affiliation":[{"name":"Stanley Ho Big Data Decision Analytics Research Centre and Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix C. 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