Importance of Interactive Maps in Big Data Space
The primary purpose of an interactive map is to offer the ease of visualizing data to the user in a simplified manner. These flexible, web-based mapping tools possess points which, when clicked display the detailed relevant information. The information can be in the form of pictures, numbers, external links, videos and the like. Besides, interactive maps comprehensively organize all forms of data, be it hierarchical, straightforward, relational or singular. Interactive maps have taken an essential position in the process of data visualization. Only a few years back, data scientists were unable to handle huge volumes of data. However, with the introduction of interactive maps, they have now found the ultimate way to visualize tons of information in the quickest way possible.
Data is everywhere. Nevertheless, it takes real skills to glean the relevant information from that data. According to seasoned prominent data evangelists, tools such as treemaps, Gantt charts, pie charts and even bar graphs do not serve the purpose of enabling users to interpret data that easily. It is almost unfeasible to highlight the factors that result in a slowdown of locations while the others achieved their goals with the least effort. As suggested by these data analytics advocates, the benefits offered by interactive maps can be manifold as mentioned below:
• Crisp information: Interactive maps have the ability to present information in a more consolidated manner, without missing the important points. Devoid of any ambiguity in the kind of presentation, data scientists are able to read the data more clearly and extract valuable information from it. In addition, interactive maps enable users with the flexibility to outline the data points, create text balloons, filter or select the important elements of data as well as modify the options according to requirements.
• Real-time insights: All information in the interactive map is shown in real-time frequency. Within seconds the data is updated in alignment with the current scenario in a particular geographical area.
• Understand correlation: Interactive maps are great when guiding users to gain an understanding of the areas which need to be focused on, identify the current trends in order to establish relationships on the basis of numerous data streams.
Interactive maps offer more than the aforementioned benefits. Also offering prescriptive analytics, these maps differ in their types usually depending on the kind of work they are used in—for instance, Clustering maps are used for indicating density, while Choropleth maps are known to display information in engaging colors.
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