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Challenge #3: Reusability

  In case you missed the first or second blog in our custom data visualization series, feel free to catch up on them now.  Or, if you prefer, simply skip ahead  to the end of this article to skip to the end to see the code for all of the parameters passed through the customized timeline component.

The third challenge is to make the data visualization software reusable to other developers on the team. The data visualization is meant to be reused in multiple different projects, with varying data sets, that don’t necessarily match the type of data in the original data visualization which this is built for. Although it’s extra work up front to create this data visualization to be reusable, there are multiple benefits long-term.

  Did you miss the first blog in our Custom Data Visualization series? Check it out here. Or,  if you prefer to skip to the end to see the code, just click here.

      As we have discussed before, big data is the study of data sets that are so large that traditional data-processing software cannot analyze it all. Big data, although requiring a different kind of data-processing system, big data allows researchers and analysts to utilize data that was not being previously been taken advantage of, and allows them to generate new insights. Since big data sets contain so much information that may have previously gone unnoticed, it can help to inform strategic business moves, feature areas of improvement and also be used to help predict future trends.

   Most people have become aware of the fact that everything they do online and on their phones leaves a cyber breadcrumb trail, where your internet searches and activities are logged. That is because all of these interactions that people engage in with technology every single day generate data points, thus creating a cyber breadcrumb trail that can be analyzed as a unit of data. As technology continues to play ever more important roles in our daily lives, it only makes sense that the amount of data that is being created will continue to increase. The sheer quantity of data that exists out there is getting bigger, and as follow, big data metrics and analytics are becoming more and more important.

Datafication – Turning big data into business solutions