We are excited to announce that we have expanded the chart selection in LiveStories and made various other updates to the Chart section. Many of our improvements are made based on customer requests, this makes sure we focus our attention on the improvements that benefits our customers the most. Please keep sending ideas for improvements our way.
Here is a quick overview, followed by detailed descriptions of the charts and some of our new functions.
- Six new charts: We have added six new chart types to select from when creating visualizations, including Icon chart, horizontal stacked bar chart, area chart, stacked area chart, scatterplot, and bubble chart.
- Point markers: You can now select whether you would like to see the point markers or not in your chart. You will find this under the display option boxes in the right hand side.
- Show as percent : For stacked bar and area charts, you can select whether you would them displayed as percent so you can compare the percentage split or whether you would like to see the total values and the split of those values.
- ADA friendly colors: All our default colors are now ADA friendly which means that categories will be easily distinguishable for colorblind people (including the conditions Deuteranopia, Protanopia, and Tritanopia).
- Chart export moved and expanded: The exporting charts function now lives in the top right corner of the chart and will be consistent throughout LiveStories. It is now a lot easier to export your chart as an image, and we also made it possible to export maps as images as well. Getting the embed code and the direct link to a chart is also a lot easier with this new location. Finally, you can now also share your chart on Twitter and Facebook at the click of a button.
Phew, that was a lot at once. Now let's get to the reveal of the new charts starting with one I'm really excited about.
If you have a data set that contains a column with the header “Gender” LiveStories will recognize it and suggest the new Icon chart. In the image below it will show the data as a male and a female icon. This chart type works well with surveys response data.
Stacked Horizontal Bar Chart
Stacked bar charts do a great job of showing sub categories of a total value. This allows you to e.g. see and compare the split between male and female across multiple categories at once. We have had the vertical stacked bar chart option available, but now you can also show it as a horizontal bart chart. As part of this update you can also select whether you want the chart to show as percent of the total amount or out of 100, just look for the check box “Show as percent”. In the example below you can see the difference between showing the split while keeping the total (left) or as percent (right).
To many, the area chart is merely a prettier line chart with more colors. However, the area chart can be more visually appealing to your audience and can also help to get a point across since you can really see the difference in low and high values.
Another neat function that is available for all line and area chart types, is the selection of whether you want to see the point markers or not. Below you can see the difference in the new area chart.
As an extension of the area chart you will find the stacked area chart. The area chart is for single values, whereas the stacked area chart option will appear if you select more than one value. The difference from the regular area chart is that you can both see them overlapped or truly stacked on top of each other with the “Show as percent” function mentioned above.
The scatterplot allows you to see the relationships of a value on two different dimensions at the same time. The scatterplot also gives you an idea of the correlation between the two dimensions.
Lastly, we added the bubble chart which can show three different measures (numerical values) at once. The X and Y axis will determine the first two values, and the size of the bubble will show you the third value. The bubble chart is another very visually appealing chart that can quickly get a point across if used correctly. One of the great things about a bubble chart is that you can look at an issues from multiple angles at once. Take for example the topic of obesity. Obesity rates are often an effect of limited access to healthy food combined with little physical activity. With the bubble chart you can select the measures, ‘Limited access to healthy food’, ‘Percent physical inactive’, and ‘percent obese’ and show them by County. You would expect to see counties that have a high percent of the population with limited access to healthy food and a high percent of physically inactive people to have a higher rate of obesity (demonstrated by a larger volume of the bubble). With the bubble chart you can quickly compare counties with the same basic conditions (within the parameters) but which have entirely different results. In the example below there is a number of counties from the bottom left part of the chart that would be interesting to do a comparison of.
These new charts are now among the wide selection of visualizations in LiveStories. However, don’t be surprised if you don’t see all the new chart types at first. The system has intelligence that ensures you are only given suggestions for charts that make sense based on the data fields you have selected. Think of it as a scavenger hunt. Have fun.