R-Programming
It’s a free software programming language and software environment for statistical computing and graphics. The R language is popular among data miners for developing statistical software and data analysis. It gains credits and popularities in recent years due to the ease of use and extensive functionalities. Besides data mining, it also provides statistical and graphical techniques, linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and more.Octoparse
Explore Data & Analytics Statistics
- 50 percent of businesses say data and analytics significantly impacted new entrants launching data and analytics businesses that undermine traditional competitors’ value propositions.
- More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025.
- By 2025, more than a quarter of all data created will be real-time, with 95% of that data generated by the Internet of Things.
- 30 percent of businesses consider the Spark software framework critical to their big data analytics strategies.
- 60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles
- 90 percent of IT professionals plan to increase spending on BI tools.
- 53 percent of CEOs consider themselves the primary leader of their company’s analytics agenda.
- 61 percent of businesses that recognize the effect of data and analytics on their core business practices say their companies either have not responded to these changes or have taken only ad hoc actions rather than developing a comprehensive, long-term strategy for analytics.
- More than 30 percent of businesses say big data and analytics have fundamentally changed business practices in their research and development departments
- 26 percent of businesses say data and analytics have significantly changed the nature of industry-wide competition.
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