If you need more details, please refer to the Quick start guide.An圜hrat is used as a data visualization tool for mobile and web applications. npm i webdatarocksĪdditionally, you can add styles of report themes to prettify your component. Add WebDataRocks scripts and styles to the section of your page.
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Download a package and add its files to your project.Now it’s time to set up your reporting tool.
To satisfy its reporting needs, we need to implement a simple BI solution that shows critical metrics. Let’s imagine we work in a retail company that needs to analyze its annual profit by months, countries, and product categories. Otherwise, we may end up with misleading results of data analysis.īefore moving to practice, an important step is to identify the goals of your data analysis and ask the questions we want to get answers for. On top of that, data should be complete and accurate.
Make sure the data is cleaned and standardized. The first and foremost step we need to take is to retrieve the data from available data sources and save it in a single CSV or JSON file. This tutorial presumes you are well familiar with JavaScript, HTML, and CSS. The pivot table aggregates the data while the charting library turns your data into intelligible visualizations. Its API properties and methods allow defining the custom appearance and behavior of charts.Īnother thing we’d like to highlight its rich gallery of ready-to-use samples and the Chartopedia guide where you can learn about the structure and purpose of all chart types.Ī responsive business dashboard that can be embedded in any project.
A lot of companies all around the world use its charts for the data visualization layer of their projects. Once you’ve connected to the data source, you can start getting meaningful insights.Ī JavaScript charting library that is easy to integrate with any app. Being easy to set up, it provides all reporting features at hand – aggregating, filtering, sorting, exporting to PDF, CSV, or Excel.
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We’ll prove exactly the opposite by walking you through the concept to a stunning dashboard creation with the help of WebDataRocks Pivot and An圜hart.Ī free JavaScript pivot table component that is compatible with all popular frameworks and server-side technologies. Do you think building interactive data dashboards is difficult?