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Best Data Viz of 2015
10 Best Data Visualization Projects of 2015 | FlowingData
Nathan Yau shares his picks for the ten best data visualization projects of the last year. Yau found a lot of interesting visualization projects ranging across many different topics and applications, but overall he saw teaching become the dominant theme over the course of the year, “whether it be through explaining, simulations, or depth. At times it felt like visualization creators dared readers to understand data and statistics beyond what they were used to.” Yau’s list includes projects from FiveThirtyEight, The New York Times, and the Guardian, as well as a number of independent projects.
Data Management in 2016
2016 Data Management Predictions | Tamr
The team at Tamr shared their predictions for how data management will evolve over the course of the year. A number of the predictions point to a turning point for data science. MIT Research Scientist, Michael Brodie, believes that the “next wave of data science will involve ecosystems of more rigorous tools requiring expertise in domains determined by the problems being addressed.” Turing Award winner, Michael Stonebreaker, sees 2016 as the year that data science “and its technology complex analytics” will break out, and “how to integrate this technology into DBMSs will emerge as a major issue”. Other predictions point to changes in data curation, data preparation platforms, and data quality.
The 2015 Data Awards
2015 Data Awards – What’s the Point Podcast | FiveThirtyEight
Jody Avirgan and the FiveThirtyEight staff present 2015’s most interesting people and stories from the world of data. You can listen to the two-part podcast or read snippets about the awards that include topics such as: Most Insidious Manipulation of Data, The Dumbest Data (That We Definitely Need), Best Reminder That Science is Hard, The Data Set That Keeps On Giving, and many more.
Awesome Things Other People Did in 2015
A non-comprehensive list of awesome things other people did in 2015 | Simply Stats
Jeff Leek shares his third annual list of of awesome things other people did over the past year. Leek explains that he created Simply Stats as a “place to be pumped up about the stuff people were doing with data,” and his annual “off the cuff” list is a place where he shares awesome things he’s seen others do with data throughout the year, as well as welcomes additions from readers. Leek’s list of 22 awesome things serves as an excellent resource for some of the most interesting articles, academic papers, visualizations, and projects from the world of data in 2015.
Hadooplooza
2016: The Year of Hadooplooza | KDnuggets
Bruno Aziza, of AtScale, examines the effect from the increasing enterprise adoption of Hadoop and warns that the rising chorus from vendors pushing companies to re-architect their entire infrastructure can be dangerous. Aziza believes that “the greatest value in Hadoop is no longer about cheap data storage. It’s about business value and end-user adoption.” Aziza notes that Hadoop’s ability to store any kind of data makes it ideal, but points out that “the companies that have used Hadoop, primarily as a Data Lake, without any plan or vision to make that data usable across the organization, are starting to realize that their lake is becoming a swamp.”
The End of the Data Science Craze?
Current Data Scientist Craze Can’t Last–And That’s a Good Thing | Wall Street Journal
Randy Bean, CEO and managing partner of NewVantage Partners, suggests that the underestimation of domain expertise in data science may be leading to the end of the “data science craze.” Bean points out that due to the continued proliferation of data, the demands for the type of skills that data scientists represent won’t diminish, but the abundance of data analysts, and the realizations of many executives that it is often more effective to train their existing people, may lead to a shift in the perceived value of data scientists.
Each week we surface, summarize, and share the most interesting stories and biggest news from the world of data science. Have articles or podcasts that you think we should be covering in our Data Science Roundup? Send them to editor@rjmetrics.com.
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