CSS gives us a lot of possibilities to change the look and feel of the component (read more in the Сustomizing appearance tutorial). But sometimes it is not enough. For example, what if we have a report with countries and want to make countries clickable (hyperlinks) and show additional details for each of them?
As you already may know, in addition to pivot grid and charts our component is also bundled with handy Toolbar. It provides easy access to the most used features: connecting to data, opening saved reports, switching between different chart types, applying number and conditional formatting, exporting to Excel, etc.
Starting from version 2.3 we have moved from XML to new JSON format for saving pivot reports. It means that all inputs and outputs are now in JSON format by default. Despite the fact that all XML reports are still backward compatible, we are receiving numerous questions about an easy way of migrating to the new format.
Get ready to download the new version! Yes, Flexmonster 2.3 is released.
The new features that will help any integrator to use our сomponent even easier in their applications, better interface and possibilities for end-users to extend their reporting greatly - all this and more you will find in the new release.
The new 2.3 release greatly extends users’ possibilities and allows visualizing more complex data from our Pivot table with popular 3rd party visualization tools.
What's all this about:
It’s known that web based Flexmonster Pivot component integrates with any JavaScript frameworks. However, sometimes it was a challenge for our customers to integrate the pivot into the needed framework due to their huge variety. Surely, we helped in solving those issues but it took some time. Caring about customers’ time we came to minimizing the efforts when combining the Component with a js framework by creating a solution.
What we did:
In the last blog, we discussed data visualisation mistakes everyone can make. Also, we all know that the quality of any data visualisation and data analysis is conditional on the quality of the data. During data analysis, a proper new finding can be revealed only if data is accurate and trustworthy. Thus, this time, we are going to look deeper at types of data with an eye to ordering and understanding your data assets better.
Our business life and much of our experiences are grounded on the credence to numbers. We trust numbers as the means to reaching truth and objectivity in analysis, as well as confidence in conclusions. They tell us about the variety of important subjects, moreover, they present a distinction between what is accepted as harmless and what is supposed to be dangerous. And since data-driven decisions define the further course of actions we with the same rigour long for objectivity through numbers in business reports and in health issues.
In the last blogs, we mostly focused on few universal aspects of business reporting. We discussed data visualisation and storytelling impact on perception and effectiveness of business reports. This time, in order to reach more concrete insights, we will concentrate more on marketing analytics.
The basic feature of a quality flexible component is its custom ability and localization to your project's needs. Flexmonster Pivot Table & Charts component can be easily localized, so it can be shown in English for US and in French for France or to any other language your users used to. Doing localization as seamless as possible is one of the tasks we have implemented in a convenient way for Flexmonster Pivot integration developers.
It is not a novel concept that data visualization is crucial for efficient business reporting. Essentially the purpose of reports is to decode abstract data into visual stories which can be understood in an efficient, precise, and meaningful way. Thus, business leaders need to invest in the ability to gather ideas and insights from their data through visualisation.
Among main benefits for executives, visual data displaying gives optimal support for the following:
After the battle between pie charts and bar charts, it is a good time to relax and explore scatter plots. Since last time we pointed out main goals of using charts and graphs and mentioned investigating trends and relationships between variables in the data. Exactly for this purpose, all types of scatter plots are typically used. A scatter plot shows values for usually two variables for a set of data. The data is displayed as a collection of points with positions on the horizontal axis set according to the values of one variable and positions on the vertical axis set under to the value of the other variable.
