It goes without saying that filtering is one of the main pivot table features. By outlining a specific set of data it helps focus on what matters more.
Previously, with our component you were able to use three kinds of filtering: by members, by values and a report filter.
Only one release ago our development team made a massive reduction of browser’s memory consumption by our Pivot. This is a tangible optimization for all clients that extended the ability of our product to load more data.
Company Profile
Name: Junar
Region: United States
Industry: IT solutions
Function: Data Economy, Open Data, Big Data
As you might have noticed, we often refer to Flexmonster as a pivot table. But what does that term exactly mean? How do pivot tables function and what can you actually do with them? Let us get back to the basics of pivot tables and find out.
Pivot table is a data processing tool, a two-dimensional table used to summarize, explore, and present large amounts of data.
In a modern world, the possibilities come not from owning the data but from properly managing and analyzing it.
Today we want to showcase our partnership with Treeni — a really great company working with sustainability data management and analytics.
A pivot table is a popular feature many can find in Microsoft Excel and use to interactively analyze the large mass of facts. The robustness of this analysis type allows many to extract trends and patterns that are located inside the data.
The pivot table allows you to organize and summarize this information, focus only on the most relevant data and extract the most meaningful business analysis facts.
We hope you are having a great summer. Our team decided to fulfill your warm working days with a light breeze of new version features.
These version 2.6 features satisfy the most popular requests from end-users and also offer the new possibilities for developers.
Let’s dive in details! In new 2.6 You are able to:
Our team continues to work hard on the component's performance optimization which has always been of great importance to our users and customers.
Therefore, in the light of a new 2.6 version of Flexmonster release, we are happy to inform you about the new significant feature - Compressor for JSON data source which will boost the performance of your project when loading the JSON data from MongoDB or other NoSQL Database into Flexmonster Pivot Table & Charts.
Today I’m going to tell you about the options to include Flexmonster JavaScript library in your project. Among possible ways, you can choose the one that suits you best. Well, let’s start.
We've made great progress since our last summer release. This time we deeply worked on memory that component uses in a browser. You often have this question "How much data Flexmonster component can handle?". Being a client-side tool, it mostly depends on browser memory. Thus, we have been working on optimizing the component’s memory usage, especially when dealing with large amounts of data.
Today we are ready to show the changes we’ve made and how you can affect your business using the latest 2.5 version of Pivot Table & Charts component.
Let’s see:
We had this one frequent request from our clients that we’ve decided to fulfill. It’s not a secret that the dark UI trend that has started in the 2016 and still follows us in the design world.
We are not going to convince you to go to the dark side (are we?) but we have a lot of clients, who prefer dark style in their applications. So, for those who use it or are going to use it, we’ve made the predefined Dark Theme that you can use right now by adding just one line of code.
Before you do it, we want to show the look & feel:
Usually, significant improvements happen in major releases. However, this time we would like to shed some light on the extraordinary improvement that was done by our developers during several minor releases this winter. We are talking about the tremendous reduction of browser’s memory consumption by our component.
