{"id":2647,"date":"2018-01-15T09:09:44","date_gmt":"2018-01-15T09:09:44","guid":{"rendered":"https:\/\/devbloglavaprotocols.nityo.in\/the-top-trends-in-data-visualization-for-2018\/"},"modified":"2018-01-15T09:09:44","modified_gmt":"2018-01-15T09:09:44","slug":"the-top-trends-in-data-visualization-for-2018","status":"publish","type":"post","link":"https:\/\/www.lavaprotocols.com\/the-cloud-blog\/the-top-trends-in-data-visualization-for-2018\/","title":{"rendered":"The Top Trends in Data Visualization for 2018"},"content":{"rendered":"
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Written by Devon Hopkins<\/em><\/p>\n

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Data science is a rapidly growing career path and leaders across all industries, fields, and governments are putting their best minds to the task of harnessing the power of location data.<\/p>\n

As organizations seek to derive greater insights and to present their findings with greater clarity, the premium placed on high quality data visualization<\/em> will only continue to increase.<\/p>\n

Here are some of the trends related to data visualization that we are keeping an eye on in 2018.<\/p>\n

1. Data visualization is not just for data scientists anymore.<\/strong><\/h2>\n

IBM projects a 39% increase in demand<\/a> for data scientists and data engineers over the next three years. But employers are coming to expect a familiarity and comfort with data across their organizations, not just from their scientists and engineers.<\/p>\n

Because of this trend, we can expect the continued growth of tools and resources geared towards making the data visualization field and its benefits more accessible to everyone.<\/p>\n

\n\"Ferdio<\/a>\n<\/div>\n

For example, someone new to the field may turn to Ferdio\u2019s DataVizProject.com<\/a>, a compendium of over 100 visualization models. The infographic agency put this resource together to \u201cinform and inspire\u201d those looking to build their own data visualizations. Other services like Google\u2019s Data Studio<\/a> allow users to easily create visualizations and dashboards without coding skills.<\/p>\n

2. The increase of both open and private data helps enrich data visualizations.<\/strong><\/h2>\n

In order to gain greater insight into the actions and patterns of their customers and constituents, organizations need to turn to sources outside of their own proprietary data.<\/p>\n

Luckily for data scientists, more and more data becomes available every day, and we can expect the trend of increased availability to continue into 2018.<\/p>\n

Data.gov<\/a>, the United States Federal Government\u2019s open data site, boasts data sets from 43 US states, 47 cities and counties and 53 other nations. In June, Forbes identified 85 US cities<\/a> that have their own data portals.<\/p>\n

We recently published a list of 40 open data projects, from transportation and accountability to performance management and IoT.<\/a><\/p>\n

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