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PowerCharts v3.2 released with HTML5 support and heat map chart
We had been gone for some time after getting FusionCharts iPad-ready and sending it to school. But we put the time to good use and are delighted to bring PowerCharts to you in its most…well…powerful avatar ever – v3.2.
Just like FusionCharts v3.2, most of the charts in PowerCharts are now iPad ready with the ability to render them in JavaScript (HTML5). It also introduces five new chart types including the much asked for heat map chart, accepts JSON data and supports LinkedCharts for creating unlimited levels of drill-down. Read on for the complete picture.
With this, your charts now have the potential to reach more eyes than ever before. And if you are already using PowerCharts, you just need to replace the old SWF and JS files with the new ones – you don’t need to change a line of code. Complete implementation details on this in our online documentation.
Now for the little innovation we added to it. Suppose you are deep diving into your marketing data to find out the mediums that gave you a high conversion rate. Just drag the pointers on the gradient scale to the high-conversion range and all the other data sets will disappear. Now you can focus only on the marketing mediums that have converted well for you. Can data interpretation really be easier?
You can also use the heat map to display employee attendance, CPU utilization and company performance comparisons. Owing to their complex nature, they are typically plotted in a table itself making them difficult to comprehend. With the heat map chart at your disposal, color them according to their value, add interactive pointers to the gradient scale and make data analysis a breeze.
The Step Line Chart, a specialized form of line chart using only vertical and horizontal lines for connecting data points, is used when the data is not continuous in nature but characterized by a jump from one level to another. The Error Line and Error Scatter chart, as the names suggest, are conventional line and scatter charts with the ability to show error (or deviation) in data.