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IN THIS DIGITAL AGE, electronic data is a more important source of information than our own senses to understand the happenings around us. For example, our senses have limited use in the context of the COVID-19 pandemic, and we seek timely and accurate data to understand the behavior of the outbreak because each of us realizes the importance of this data for our own individual survival. However, raw data on its own is no good because we lack either the necessary data skills or the necessary time to manually inspect every bit of data.
During these extraordinary times we now live in, each one of us seeks technological help. From the robust roots of data models and query languages in the 1970s, data related technologies have come a long way. In 2020, we now have technologies such as data analytics, interactive dashboards, and natural language generation (NLG) that can discover and tell data stories automatically. Because data stories show us the human face of data aligning well with our mental models of the world, these new technologies manage to hide the much-dreaded number crunching away from us.
Very much like traditional stories, well-told data stories are made up of a balanced number of visuals and linguistic descriptions. The linguistic descriptions serve to tie the visuals together into a coherent data story. In this white paper, we describe the technical details of the COVID-19 Live Dashboard which brings together Arria’s NLG technology and TIBCO’s Visual Analytics technology.
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