2016 Book Data Visualization 
Data Pine
SEPTEMBER 16, 2022
Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data.
Tableau
NOVEMBER 14, 2023
Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. Two line graphs showing the same data with different intervals on the axis. Know the Source.
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Domo
AUGUST 18, 2016
If you’ve been following the Olympic Games in Rio, you know that this summer’s games have been one for the record books—literally. Athletes from Puerto Rico, Singapore, Vietnam, Fiji, and Kosovo won the first-ever medals for their nations; plus, the 2016 Olympic Games is the first to have a refugee team competing.
Data Pine
NOVEMBER 19, 2019
For example, you could tell your phone about the trip you plan and it would book the most convenient flight, hotel and rental car for you. For example, in October 2016 Wells Fargo and The Commonwealth Bank of Australia made history by using blockchain to facilitate paying for a shipment of cotton from the U.S.
Data Pine
AUGUST 29, 2022
With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. Essential Big Data And Data Analytics Insights. Discover The Best Data Analytics And Big Data Books Of All Time.
ElegantJ BI
JANUARY 22, 2017
Imagine a world where your users can engage in social interaction and collaboration and discuss, rate and comment on data and analytics within reports, dashboards, or key performance indicators (KPIs) – a kind of ‘ Face Book for Analytics ‘ approach to business intelligence.
ElegantJ BI
JANUARY 22, 2017
Imagine a world where your users can engage in social interaction and collaboration and discuss, rate and comment on data and analytics within reports, dashboards, or key performance indicators (KPIs) – a kind of ‘ Face Book for Analytics ‘ approach to business intelligence.
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