50 New Tools Democratizing Data Analysis & Visualization. Just as we've seen the shift to "DIY" data collection platforms, we're also seeing the development of a whole new class of self-service data exploration and visualization tools.
Just as we’ve seen the shift to “DIY” data collection platforms, we’re also seeing the development of a whole new class of self-service data exploration and visualization tools. These are not necessarily replacements for SPSS, SAS, R, and other traditional analytical suites: those enterprise level systems are often still needed to do more complex and advanced statistical analysis. However, in many ways these newer entrants have a leg up over legacy providers: they are less expensive (in many cases free), more flexible, easier to use, and are built with the needs of a variety of users in mind.
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