Details And On-Demand Highlighting
In almost all data visualizations it is great to have the possibility to highlight some details or data that is to be pointed out whenever necessary. It is quite difficult to just choose the very best data in a visualization since sometimes there is simply way too much that is interesting. On-demand highlighting is thus highly important. When the strategy is used you do not have to create a visualization that is overwhelming in terms of design. You just use calculators like from OkCalculator to gather all the data and during the presentations, the highlighting feature offers support for what you want to say.
Content Selection That Is User-Driven
Interactive visualizations have various advantages. One of the major ones is that users can actually change the presented content. You do not necessarily focus on how the data is to be displayed. The focus is shifting towards a template design that allows data sets to be displayed. Users then select the main element and then add or remove extra needed features base on a database that is already in place. Users change information and visualizations are automatically updated so that immediate feedback is given.
One graphical representation will normally just show some dimensions at the same time, all in particular ways. When you assemble different parts and you coordinate them you can showcase various aspects of data all at the exact same time, making the presentation much better. For instance, when you use multiple visuals to portray correlated data, like through a line chart and a bubble chart, the user ends up being engaged in a way that allows exploring more in a shorter period of time.
Different Ways To Show Data
When multiple coordinated visualizations are in place there is a problem as less screen space becomes available. It is a route that the user needs to go on in some situations simply because too much data has to be put in the visualization. That is why users have to be allowed to reconfigure mappings in a way to perfectly match the visual data presented. People do think that this is a really good alternative that will maximize how much space is available for every single data heavy visualization.
Although we presented 4 tips that you can take into account right now, you have to remember that experimenting with all available options is something you have to do. For the next interactive visualization, you will create just focus on creating something that is cool and that does take into account everything that was mentioned above. Also, ask for feedback from regular people. Their input can tell you what worked and what did not.