Introduced in October 2019 in TeeChart for RAD Studio, the Kernel Density Estimation Function provides the basis for two series types: The Kernel Density Estimation (KDE) Function The Kernel Density Estimation (KDE) Function uses these parts: If left to automatically clamp the data, the KDE function checks highs and lows from the input data to […]
Category: BI Business Intelligence
Linking Charts Demo – Connecting TeeChart for NET to data binding sources
This demo shows how TeeChart’s Charts can be made to work with each other on a Form in a Winform application. The demo uses the basis of the company data of a small technical products supplier; the company sells electronic based products, small computers, tablets and mobile phones and has markets in some countries around […]
Big files: XML or JSON ? TeeBI !!
Introduction XML and JSON are very typical text formats used to store data, designed to be more comfortable than plain old “csv” text and allowing hierarchical (parent -> child) relationships. However, even if there are many wonderful standard libraries to process them, there is still a speed problem when loading big quantities of data (say, […]
TeeBI teaser
Small teaser of TeeBI. This is the custom web server calculating a query and returning a chart. The only dependencies are TeeChart and Indy http web server component. Data is in column-oriented, memory-based custom format for speed reasons, no database or FireDac, etc are necessary. Data is imported from many sources (excel, text files, firedac […]
Clustering visualization
TeeChart Pro includes classes and components to perform “clustering” on your data, and optionally visualize the results using a chart “Tool” component. Clustering is the process of grouping data automatically, according to how well related are the individual items. As an unsupervised algorithm, its widely used in data-mining / machine-learning / B.I. (Business Intelligence) applications. […]