Nowadays, data is an important part of almost every decision-making process: from industrial production planning to financial market analysis. Companies are no longer just collecting data; they are expected to analyze it in real time, detect trends early, and react quickly to changes. As datasets grow larger and more complex, people need a powerful solution, and here comes Flexmonster.
One of the most powerful features of our pivot table is a wide variety of aggregations. You have two options for applying aggregations: via UI or code. Let’s look at the advantages and disadvantages of both of these methods:
UI: here, you can do it easily, even if you have no prior coding experience. All you need to do is go to Fields on the Toolbar and set it up. Also, it’s quite intuitively understandable for users.
We're continuing our series of articles on core pivot table features. Last time, we covered filtering. You can revisit that topic here: Mastering Filtering in Flexmonster Pivot. Now, we can move on to sorting.
Have you already tried using Flexmonster from the previous article? If so, you should already know that it's a powerful yet simple web tool that is handy in visualizing big datasets. Flexmonster helps you turn your data into clear, interactive reports. And of course, it offers sorting functionality to help you prioritize information with one click.
Building a React pivot table that remains fast and responsive with millions of rows is one of the biggest challenges in modern dashboard development. Standard data tables often struggle with large datasets, especially when you need grouping, aggregation, and real-time interaction. By integrating a React pivot grid component, you can enable dynamic data grouping, advanced filtering, and Excel-like reporting - all while maintaining performance at scale.
One of the big advantages of our component is its flexibility in ways you can tune it to your needs. When you first build Flexmonster into your app, it uses predefined options to look and work a certain way. But when you need more customization, create reports that truly fit your needs, you can change these options.
Raw data can often feel like a maze—difficult to navigate and even harder to analyze to get useful information. That's where interactive dashboard come in. They turn all that complicated data into simple visuals that are easy to look at and explore, making it much quicker to notice some trends and patterns.
In this tutorial, we’ll guide you through creating an interactive map dashboard using Flexmonster Pivot Table and amCharts.
Our Tech team is always looking for ways to help you get the most out of our pivot table. If you found our previous article on managing date types useful, you'll want to keep reading.
Today, we're focusing on two key features that make analyzing your data easier—grand totals and subtotals.
We continue to share tips from our Tech team, and in this article, we will discuss more about managing data types in your reports. Dates are essential to any dataset. How you manage, and present date information can significantly impact the insights you derive and prevent mistakes and misunderstandings in data analysis.
Our Tech team continues to share valuable tips on how to get our component to full power and uses all means for that. On our YouTube channel, we have a separate Tips&Tricks playlist.
These videos are designed to provide practical insights and advanced techniques that empower you with the knowledge to tackle complex data challenges and make informed decisions easily.
Here is the list of ✨ 5 main videos from the Tips & Tricks series✨ we think every Flexmonster user should know about!
Today, we delve into the details of reportconfiguration using Flexmonster Pivot Table & Charts. In this video tutorial, we will guide you through the process of configuring a report to suit your specific needs and preferences.