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Interactive Knowledge Visualization | GoodData

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Knowledge visualization is the method of making a visible illustration of knowledge. For hundreds of years, individuals have been utilizing static knowledge visualizations — the map being among the many oldest and most well-known examples. Each facet of information evaluation has developed with technological developments, together with knowledge visualization.

Interactive knowledge visualizations have turn out to be a typical a part of most experiences and dashboards. They permit customers to have interaction with the info and simply discover solutions to their particular queries.

What Is an Interactive Knowledge Visualization?

Interactive knowledge visualization, similar to insights and dashboards, goals to signify knowledge graphically. In comparison with non-interactive visualization, person engagement is required, similar to clicking a button or transferring a slider. The core of the visualization is motion and response, particularly human enter and fast visible output.

Non-interactive vs. Interactive Knowledge Visualization

Non-interactive knowledge visualization is static and easy. It may possibly embody kinds similar to graphs, warmth maps, and varied forms of charts (e.g., pie, bar, or line). For instance, think about a chart created in Excel. It’s straightforward to rapidly create for easy knowledge queries. Usually, non-interactive visualization is extra appropriate for much less advanced knowledge tales by which you solely carry out one or a number of queries. It is usually the optimum format for printing and sharing experiences by way of e mail, as the data is static in time and simple to view.

However, interactive visualizations are excellent for giant quantities of information when you’ve extra questions and a pattern to research. Interactive knowledge visualizations allow you to fluidly reply questions and journey from one visualization to a different. It shows knowledge in context, permitting you to simply discover solutions to your questions or hypotheses.

Interactive visualizations are sometimes utilized in dashboards and enterprise intelligence (BI) experiences. It supplies a simple option to perceive insights and is extra sensible and time-saving than utilizing lengthy tables of numbers as within the case of static experiences.

Options of Interactive Visualizations

The objective of interactive visualization is to draw customers’ consideration. When utilizing interactive knowledge visualization, the info you show is all as much as you and your curiosity.

The next are typical options of interactive visualizations.

  • Filtering lets you scale back or specify the info that’s displayed within the visualization.
  • Drilling lets you transfer from one visualization to a different. It additionally lets you ship an motion from the dashboard.
  • Zooming and panning is helpful if you wish to see a selected element. You possibly can zoom in and see solely a selected a part of the visualization with out getting distracted or needing to  create a brand new perception.

Let’s take a better have a look at the options of non-interactive and interactive visualizations. The insights under study the info from Lenstore’s “Wholesome Life-style Cities Report 2021.” The dataset accommodates particulars about parts of the existence of a few of the world’s cities, similar to degree of happiness, life expectancy, sunshine hours, and annual common working hours.

We are going to deal with the extent of happiness and attempt to reply the next query: What’s the degree of happiness in Helsinki? How does the extent of happiness on this metropolis evaluate to different cities?

First, we’ll examine the non-interactive knowledge visualization.

Graph displaying levels of happiness in the world
Degree of happiness in varied cities across the globe

You possibly can see that the extent of happiness in Helsinki is comparatively excessive, as it’s larger than different cities and even larger than the typical world’s happiness degree. You may marvel what causes the distinction in ranges of happiness and lift one other query: Is there any connection between the happiness degree and the annual common working hours? If we examine the primary graph once more, we received’t discover the mandatory knowledge there.

Nevertheless, if we seek the advice of the interactive knowledge visualization under, we are going to discover the reply.

Same graph, with the cursor hovering over Helsinki to reveal more information.
Hover over a selected metropolis to view its degree of happiness.

First, you’ll be able to zoom in and see the info about Helsinki up-close.

Same graph, now zoomed in to see Helsinki up-close.
Zoom in for a better have a look at a selected metropolis.

After that, you’ll be able to drill in and examine the annual common working hours in Helsinki and evaluate them with the world’s common. Moreover, you’ll be able to examine the life expectancy within the metropolis and drill into one other perception (dashboard).

Cursor hovers over Helsinki with the option to select annual average working hours or life expectancy to drill into.
Drill in for extra data.

Annual average working hours of Helsinki isolated.
View the info you drilled into.

Moreover, you’ll be able to filter the visualization to check Helsinki with different European cities solely.

Levels of happiness chart filtered to European cities.
Filter to view solely particular areas.

Customized Construct Purposes

Usually, there are two attainable methods to create interactive knowledge visualizations: Finish customers can use predefined choices, together with drag-and-drop, whereas builders can outline the enterprise semantics on high of the info in order that non-technical individuals can work with analytics and know what they’re dragging and dropping. Nevertheless, interactivity isn’t restricted to dashboard visualizations. It may possibly additionally apply to constructing purposes on high of information. These purposes embody varied codecs of interactivity, similar to new visualizations, chatbots, pure language processing, and in-game analytics.

Knowledge is a part of many different purposes that firms work with and provide to their prospects. As such, working with knowledge and its visualizations must transcend the scope of conventional BI instruments. The idea of headless BI permits the connection of any software, knowledge platform, or visualization software to the semantic layer. In comparison with conventional BI instruments, with headless BI, the semantic mannequin is decoupled from the BI parts and uncovered as a shared service by way of APIs and customary interfaces. In easy phrases, the analytical backend is separated from the consumption layer so to use APIs to entry and current knowledge from the semantic layer and visualize them in any software.

Set side-by-side with conventional analytical platforms, within the headless BI platform, all the pieces you construct is each human- and machine-readable so you’ll be able to handle your analytics as a code. Headless BI permits entry to knowledge for finish customers as equally as IT or different technical homeowners. The platform is versatile and does not restrict the person. Interactivity will be understood as a manner to decide on the best way to show the info.

For example, chatbot is an software constructed on high of GoodData Python SDK and Pandas DataFrame. In chatbot, you’ll be able to handle your knowledge utilizing code to be able to create a visualization and work together with it.

One other software constructed on high of the GoodData platform is Pure Language Question (NLQ). It lets you seek for data in conversational language. The NLQ server communicates straight with the GoodData semantic layer and is ready to create an perception based mostly in your request.

Let’s revisit the extent of happiness on this planet and what can have an effect on it. Now we are going to deal with the quantity of sunshine hours within the metropolis per yr. Utilizing NLQ, we will request a column chart displaying the specified data.

The text give me sunshine hours by city as column chart is in the search bar of the NLQuery. A chart is populated below with the requested information.
Pull knowledge utilizing conversational language with NLQ.

Advantages of Interactive Knowledge Visualizations

Simplify Advanced Knowledge

Interactive dashboards can signify a posh knowledge story clearly. Integrated options similar to filtering and zooming may help make the info extra manageable. Interacting with giant datasets and utilizing visualization points helps customers to rapidly perceive the story of the info.

With interactive knowledge visualization, you’ll be able to simply determine developments and relationships between knowledge. Moreover, with the flexibility to look at how knowledge modifications over time, you’ll be able to determine neglected cause-and-effect relationships. Therefore, you’ll be able to develop enterprise insights that assist assess KPIs’ statuses and result in data-driven selections.

In response to Seyens, half of the human mind is straight or not directly related to visible processing. Moreover, a minimum of 65% of individuals are visible learners. Interactivity based mostly on visualization slightly than easy charts permits customers to course of data simpler, as people naturally interpret visible data higher than numbers.

Enhance Engagement and Productiveness

Interactive insights and dashboards allow you to have interaction with knowledge in methods which can be unimaginable with non-interactive dashboards. Interacting with knowledge by using dynamic charts, incorporating shapes, or altering colours can enhance customers’ productiveness.

The customers get management over what they see, having the chance to regulate the visualization in response to their wants based mostly on location, age, job, or every other issue. The person turns into an energetic participant as an alternative of a viewer alone. Diving deeper into the info might increase additional questions. Nevertheless, compared to utilizing static visualization, customers can discover the solutions they want with out distractions or needing to create a brand new chart.

Enhance Flexibility

A direct connection between the person and the info is a big profit. The flexibility to customise and alter the attitude of a visualization relying on what the person wants is the results of personalization of BI. Interactive visualizations provide the flexibleness to decide on whether or not to create visualizations straight within the analytics platform or to construct your personal software on high of the platform. Every thing you construct is human- and machine-readable, so the info is as approachable for enterprise customers as it’s for technical customers.


In case you try to construct a knowledge tradition that ingrains knowledge in all processes, merchandise, and folks, you could deal with the interplay of information, not simply pure consumption. With GoodData, you’ll be able to work with predefined interactive dashboards or create your personal interactive software and handle your analytics as a code. To get began at this time, merely request a demo.


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