Flexmonster Pivot Table & Charts is a feature-packed reporting component. However, we do not limit the opportunity to customize and implement specific features. Flexmonster has enough flexibility to support your application’s logic and adapt to how it works. So you can extend the functionality and user interface the way you need.
In today’s blog post I want to tell you how to get more from Flexmonster pivot with the help of running totals. To begin with, I’ll tell you what is it - running totals. This is one of the aggregations available for CSV, JSON, FDS databases, MongoDB, MS Analysis Services, and even custom data source APIs. Imagine a list of numbers. A running total keeps track of the sum of these numbers as you go down the list, adding each new number and subtracting any that are removed.
The popularity of React has expanded beyond front-end development, and now it is used for different development purposes. This expansion has led to the appearance of new frameworks driven by the goal of enhancing the developer experience, optimizing processes, and addressing specific challenges. One of the main React challenges was struggles with SEO (Search Engine Optimization) because of client-side rendering.
For years, Flexmonster performs seamless integration with Elasticsearch data source, but we keep working on it! It empowers you to unlock the full potential of Elasticsearch by creating dynamic reports and charts right within your browser.
Flexmonster requires minimum efforts to set up the configuration, and the entire process is time-saving.
You definitely have noticed how swiftly Flexmonster displays thousands and millions of rows of your data.
But have you ever wondered how the pivot table component renders the rows of cells so fast each time you load a large data file?
Let’s shed some light on the reasons for fast grid performance and develop an understanding of how Flexmonster Pivot Table & Charts works under-the-hood.
When creating a product, creators always determine its main functions and needs, which it should face. Such clearly defined values and vectors of improvement allow other developers to choose the suitable component for their software or application easily.
Thus, integrations between products are one of the best methods of building better software, as you can skim the cream and prepare a product with only the best ingredients.
Previously we listed few useful tips on collecting small data. Data cleaning is what typically goes next. Thus, today we are going to emphasise four crucial ideas which can help you save valuable time, avoid headaches and conduct qualitative data analysis.
In our last blog, we presented a data definition framework. Among all data categories from internal and external sources, human generated data may be crucial for a company. Also, even in the era of Big Data spreadsheets are still very commonly used in small companies and corporations. In other words, there are millions of people collecting and working with the small data type of data which can be easily fitted in an Excel spreadsheet.
Leading planning and scheduling company, Bluecrux, strive to develop the best-in-class supply chain and operation solutions that drive innovation of sustainable business growth. Their core mission is to connect customers, sales, operations, finance, partners, and suppliers across the globe through progressive digital technologies.
Today we are proud to showcase the results of our fruitful collaboration with Bluecrux that lasts since 2015.
ECMAScript 2009, also known as ES5, is the first major revision to JavaScript that was used for many years. Since then several new standards were released and now, in the development of our components, we use only the ES6 standard as it has improved performance and is supported by all modern browsers. The only browser that did not switch to ES6 is InternetExplorer 11, but in 2022 Microsoft stopped supporting it in favor of their new browser Edge.
Finding an analytics back-end engine for your business application is a challenge for developers and data warehouse architects.
Your choice always depends on a wide range of business, application-specific and hardware requirements which need to be considered in the early phases of the software development lifecycle.
The best way to understand large data quantities is to visualize them. Luckily, we have a lot of instruments to do that.
Flexmonster Pivot helps to represent your data grouped in a stylish grid with all the aggregations, sorting, and filtering that has been done before. It also has pivot charts to display this data even more clearly or visually highlight the core.
