Learn about data visualization and how it is used across industries to help people understand the big picture, identify key info, and make informed decisions.
Our graph and timeline visualization toolkits help make sense of complex connected data. When we’re asked which use cases benefit from our technology, the answer is simple: almost all of them. The challenge to understand hidden relationships and uncover actionable insights from data is universal,...
Finally, this isn’t a data visualization style per se, but rather a useful addition that allows you to zoom into the details in a more complex visualization, like a force-directed graph or bubble chart. As you move your cursor over a graph, the area you’re seeing expands in fisheye v...
The largest importance of data visualization is that it helps people understand data faster. Finding connections between mountains of information isn’t easy, but graphs and charts can transform the invisible information into visible graph symbols, express it directly and clearly, and help you discover...
What is data visualization? Data visualizationis the process of representing information and data graphically. While it might sound fancy, you’d be surprised by how many examples of data visualization you encounter in your daily life, from bar charts showing stock prices and the line graph in ...
Let’s have a look at some data visualization tools examples and discuss how to choose the right one for your goals. Why data visualization is important Visualizing data is an undeniable benefit in any niche, and it doesn’t matter if you’re building a career in marketing, design, retail...
Data visualization refers to the representation of data in graphical formats such as charts, graphs, dashboards, or infographics.
Data Visualization Examples Begin by loading the Statistics package. with(Statistics): Combining Visualizations A := 5, 2, 5, 8, 4, 5, 10, 5: B := map(t - t-.5, A): Generate bar chart and line chart . P := ColumnGraph(A, legend = [Data Set A]): Q :=...
The Best Data Visualization Examples 1. Napoleon March Map Visualization by: Charles Joseph Minard Learn more: Wikipedia In 1812, Napoleon marched to Moscow in order to conquer the city. It was a disaster: having started with around 470,000 soldiers, he returned with just 10,000. This cha...
Stacked area charts are an excellent visualization tool for: Visualizing the contribution of multiple categories of data over time to check their performance. Spotting changes or shifts in the composition of data over time to point out trends and patterns. Comparing the performance or contribution of...