![]() ![]() After the download is completed, unzip the DC folder and paste it to your project's root folder or any other folder, where you want to keep all your library files.ĭC is a JavaScript code, so we have to write all the DC codes within the “script” tag. (As of now, the latest version is 2.0.2.). Download DC LibraryĭC is an open-source library use the link to download the file.ĭownload the latest version of the DC file. Follow the below steps to install DC on your machine. DC.js InstallationĭC installation is very easy to set up. Let us go through the steps one by one in detail. Before we start, we need the following components − In this chapter, we will learn how to setup the DC.js development environment. ![]() In the next chapter, we will understand how to install D3.js on our system. Creation of highly interactive dashboards.Fast creation of charts and dashboards.Supports large multi-dimensional datasets.ĭC.js is an open source project and it requires lesser code when compared to others.Some of the salient features are listed below − DC.js FeaturesĭC.js is one of the best data visualization framework and it can be used to generate simple as well as complex visualizations. In addition, it delivers instant feedback to user interaction using the Crossfilter Library. It is an open source, extremely easy to pick up JavaScript library, which allows us to implement neat custom visualizations in a very short time.ĭC.js charts are data driven and very reactive. ![]() DC.js enables us to create almost any kind of complex data visualization using a simpler programming model. In general, data visualization is quite a complex process and carrying it out on the client side requires extra skill. DC.js enables a single (large) dataset to be visualized with many interconnected charts with an advanced auto-filtering option. DC.js is built to work with Crossfilter for data manipulation. It allows complex data visualization to be rendered and has a designed dashboard having Bar Charts, Scatter Plots, Heat Maps, etc. It relies on the D3.js engine to render charts in a CSS-friendly SVG format. What is DC.js?ĭC.js is a charting library for exploring large multi-dimensional datasets. Data visualizations can be developed and integrated in regular web and even mobile applications using different JavaScript frameworks. The primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics. Data visualization is the presentation of data in a pictorial or graphical format.
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