One of DataLion's strenght is the large number of innovative and meaningful visualization types. Our flexible frameworks allows for combining the best charts of different origin in one dashboard with the same look and feel. We can also integrate custom client visualizations saving you a lot of time.
The "workhorse" of data visualization: not necessarily the most exciting visualization, but still very effective when it comes to comparing quantities. In DataLion there are bar charts in all imaginable colors and of course always with the correct legend automatically generated with data source, number of cases and population numbers. The user can change the charts to absolute numbers (weighted or unweighted), percentages or population projection or change the diagram to columns or stacked bars.
Network diagrams are particularly well suited to visualize affinities between media, brands or users. This way, it immediately is clear, for example, which brands are at the center of the target audience and which brands are more likely to settle in the periphery. The layout is generated with the Force Atlas algorithm: The ties between the nodes are considered elastic springs so that closely related nodes end up close to each other in the network.
The pie chart is one of the more misunderstood and unloved chart types. There are simply too many pie charts around that are either in distorted 3D, animated or divided in too thin slices. But if used in the right way, that is, when it comes to dividing a whole into different components such as with a typology, this chart type can adorn a dashboard. This also applies to its close cousin, the donut chart.
At first glance, the chord diagram appears to be related with the pie chart. But actually, it has more in common with the network. Both diagrams illustrate links between features, brands, media etc. The thicker the line in the chord diagram, the stronger the connection. At the same time, this diagram depicts the shares of these connections. This diagram is perfectly well suited to represent currents or overlaps.
A lot of data sets include information on location. Therefore, it suggests itself to be plotted on a map. DataLion can handle both geographical coordinates (longitude and latitude) as well as semantic locations such as counties, states or countries. This way, research studies gain a spatial dimension and the user can get an immediate overview e.g. of the geographical distribution of sales activities or the demand for its own and competitive brands.
Bubble or XY charts are particularly well suited for multi-dimensional data analysis and visualization. For example, they can show at a glance which media or brands are used by male or female, young or old, well-educated or less educated target groups.
With our MarketView demo account based on Germany's largest market-media study "best for planning", you can try the above examples and much more. Free registration.