If you’re looking to convey the idea of linear progress, how can the presentation be made simple and easy to understand, but then still forceful?
What I like about the way RAPID has framed their data visualization is that it doesn’t rely on any big assumption (such as a linear progression). As RAPID points out, they have put so much thought and effort into their presentation, so if you can convey that feeling that their data is changing, and that you’ve seen it before, it’s great.
Although they aren’t the first to do this, they do have a really interesting approach. RAPID is also a good example of a visual representation that is meant to be understood as an API, not an infographic. You can quickly understand the idea of the data by looking at the visualization and the data itself, as it is available in a chart format. You can see the differences between the two charts in the image above.
By using this sort of visual, you can give the reader a little more context. Because the visual is in a chart format, you can also use it to show a particular group of people, by showing them each of the data points in the visualization. This means that you can show different parts of the data and explain its significance in a way that people can understand.
This example is a great example of using a visualization as an API. If you look at the image, you can see that the data is presented in a very horizontal format. But it is actually a great way to show the data in a way that people can understand it. By going from the top to the bottom, you can show different points that provide context about what is being presented.
Once you understand what the data is, you can then build on that to explain how you can understand the information, what types of trends it represents, and what else you can do with it. RAPID are using this method in order to convey that the data represents a trend.
Another important thing to keep in mind about presenting data in a graph format is that it’s not a good way to communicate the amount of data that you have, if you’re going to put too much into it. With a visualization, you’re just presenting the idea of the data, so it’s very easy to understand and to visualize. If you want to explain the amount of data that you have, you should probably consider using a table format.
You don’t need to worry about the size of your chart (which is also shown in a chart format), and you don’t need to worry about the number of data points. It’s more about explaining what the data is, the importance of the data, and then how you can use it. This helps the reader understand the topic, but it can be helpful to create visualizations of any size.
This example illustrates how RAPID is building on a visual presentation, with a table visualization. This chart shows the amount of student enrollment in their program at an academic institution. You can see that the data points are from each of their first semester classes, and then you can see them represented in a different way. You can see that RAPID is showing each data point in the graph, where they started, and then the number of students enrolled at that school. This is very useful when you want to learn more about something that you saw in the data.
One thing that I think that is really important to consider is that a visual format is not necessarily a good format for everyone. To create a compelling visualization, you need to think about how you can make it easy for people to understand it, while at the same time communicating the underlying data.