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Interactive Knowledge Visualization | GoodData

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

Interactive information visualizations have turn into a typical a part of most experiences and dashboards. They permit customers to interact with the info and simply discover solutions to their particular queries.

What Is an Interactive Knowledge Visualization?

Interactive information visualization, comparable to insights and dashboards, goals to signify information graphically. In comparison with non-interactive visualization, consumer engagement is required, comparable 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 information visualization is static and easy. It could actually embrace kinds comparable to graphs, warmth maps, and numerous varieties of charts (e.g., pie, bar, or line). For instance, think about a chart created in Excel. It’s straightforward to shortly create for easy information queries. Basically, non-interactive visualization is extra appropriate for much less advanced information tales by which you solely carry out one or a number of queries. It’s also the optimum format for printing and sharing experiences through electronic mail, as the data is static in time and straightforward to view.

However, interactive visualizations are excellent for giant quantities of information when you’ve gotten extra questions and a development to analyze. Interactive information visualizations allow you to fluidly reply questions and journey from one visualization to a different. It shows information 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 gives a straightforward solution 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 aim of interactive visualization is to draw customers’ consideration. When utilizing interactive information visualization, the info you show is all as much as you and your curiosity.

The next are typical options of interactive visualizations.

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

Let’s take a more in-depth have a look at the options of non-interactive and interactive visualizations. The insights under look at the info from Lenstore’s “Wholesome Life-style Cities Report 2021.” The dataset incorporates particulars about elements of the existence of a number of the world’s cities, comparable to stage of happiness, life expectancy, sunshine hours, and annual common working hours.

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

First, we’ll test the non-interactive information visualization.

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

You may see that the extent of happiness in Helsinki is comparatively excessive, as it’s greater than different cities and even greater than the common world’s happiness stage. You may marvel what causes the distinction in ranges of happiness and lift one other query: Is there any connection between the happiness stage and the annual common working hours? If we test the primary graph once more, we gained’t discover the required information there.

Nonetheless, if we seek the advice of the interactive information visualization under, we’ll discover the reply.

Same graph, with the cursor hovering over Helsinki to reveal more information.
Hover over a selected metropolis to view its stage 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 more in-depth have a look at a selected metropolis.

After that, you’ll be able to drill in and test the annual common working hours in Helsinki and evaluate them with the world’s common. Moreover, you’ll be able to test 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 match Helsinki with different European cities solely.

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

Customized Construct Purposes

Basically, there are two potential methods to create interactive information 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 folks can work with analytics and know what they’re dragging and dropping. Nonetheless, interactivity isn’t restricted to dashboard visualizations. It could actually additionally apply to constructing functions on high of information. These functions embrace numerous codecs of interactivity, comparable to new visualizations, chatbots, pure language processing, and in-game analytics.

Knowledge is a part of many different functions that firms work with and supply to their prospects. As such, working with information and its visualizations must transcend the scope of conventional BI instruments. The idea of headless BI permits the connection of any software, information platform, or visualization device to the semantic layer. In comparison with conventional BI instruments, with headless BI, the semantic mannequin is decoupled from the BI elements and uncovered as a shared service through APIs and commonplace interfaces. In easy phrases, the analytical backend is separated from the consumption layer so as to use APIs to entry and current information 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 information for finish customers as equally as IT or different technical house owners. The platform is versatile and does not restrict the consumer. Interactivity could be understood as a approach to decide on the best way to show the info.

As an illustration, chatbot is an software constructed on high of GoodData Python SDK and Pandas DataFrame. In chatbot, you’ll be able to handle your information utilizing code with the intention 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 permits you to seek for data in conversational language. The NLQ server communicates instantly 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 the planet and what can have an effect on it. Now we’ll concentrate on the quantity of sunshine hours within the metropolis per 12 months. 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 information utilizing conversational language with NLQ.

Advantages of Interactive Knowledge Visualizations

Simplify Advanced Knowledge

Interactive dashboards can signify a posh information story clearly. Integrated options comparable to filtering and zooming will help make the info extra manageable. Interacting with giant datasets and utilizing visualization elements helps customers to shortly perceive the story of the info.

With interactive information visualization, you’ll be able to simply establish tendencies and relationships between information. Moreover, with the flexibility to look at how information modifications over time, you’ll be able to establish ignored 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 instantly or not directly related to visible processing. Moreover, at the very least 65% of individuals are visible learners. Interactivity based mostly on visualization reasonably 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 interact with information in methods which can be not possible with non-interactive dashboards. Interacting with information by using dynamic charts, incorporating shapes, or altering colours can increase 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 consumer turns into an energetic participant as an alternative of a viewer alone. Diving deeper into the info could elevate additional questions. Nonetheless, 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 consumer and the info is a big profit. The power to customise and alter the attitude of a visualization relying on what the consumer wants is the results of personalization of BI. Interactive visualizations supply the flexibleness to decide on whether or not to create visualizations instantly within the analytics platform or to construct your personal software on high of the platform. Every part you construct is human- and machine-readable, so the info is as approachable for enterprise customers as it’s for technical customers.


If you happen to attempt to construct an information tradition that ingrains information in all processes, merchandise, and other people, you should concentrate on 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 immediately, merely request a demo.



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