The World Bank’s data and research groups released the 2018 Atlas of Sustainable Development Goals, which shows the progress societies are making towards the UN SDGs. The majority of the Atlas is produced via using the statistical programming language R and the ggplot graphics library. The source code and data for individual figures are accessible. Working in this way helps users understand the data and figure and it also allows figures to be easily updated and maintained. Much of the data in this Atlas comes from the World Bank Data API and other resources includes the Bank’s Data Catalog.   The Atlas utilizes World Development Indicators to produce figures. For example, the chapter on the SDG4 include data from the UNESCO Institute for Statistics on education and its worldwide impact. The data in the Atlas are presented by income group, region and country and also divided by geography, wealth and sex. Apart from data from World Development Indicators, the Atlas also assess new data from researchers and scientists that develop standards for measuring SDG achievement. For example, the chapter on SDG14 reflects a research done by Global Fishing Watch.   The Atlas not only deals with trend but also discuss measurement issues. For example, in SDG6, the different definitions of access to water and sanitation may lead to different result. That’s the different understanding between the definition of the access to ‘at least basic’ water and the access to water that is considered ’safely managed’. In SDG8, although the new data from the Global Findex Database shows that a large number of adults have financial account, the account ownership may vary from region, age, education, wealth and sex.