React Grid Layouts

Customize how your data is displayed in your React Pivot Table with our flexible grid layouts. Choose the best view to highlight key insights and match your react application’s style.

Grid layouts define how data is structured in your pivot table. Selecting the right layout can greatly enhance the clarity of your information. WebDataRocks offers three main layout options:

• Classic Layout: Space-Saving Efficiency – This layout saves space by combining row fields into a single column. It’s perfect for dashboards and reports with limited screen area.

• Compact Layout: It provides the usual Excel-like layout of hierarchies, where sub-levels of hierarchies are shown, one by one, in separate columns. The user can immediately see all members in this form and have a constant overview of the slice structure.

Flat table view

• Flat Layout: Display data in a simple, table-like format. Ideal for exploring individual data points without aggregations.

Each grid form has its use cases and is better to use in specific cases. You can learn more about their advantages in the grid layout documentation.

FAQ

WebDataRocks offers developers flexible grid layout options to present data effectively. This Angular pivot table supports 3 types of pivot table layouts: classic, compact, and flat view.

• Classic View: The Familiar Layout. This layout mirrors the traditional Excel-style presentation, showcasing hierarchies in separate columns. It provides a clear overview of the data structure and allows users to see all members at a glance. Ideal for situations where understanding data hierarchy is crucial.

• Compact View: Streamlined Efficiency. This space-saving layout condenses row area fields into a single column, placing emphasis on numeric data. Hierarchies are displayed as drop-down lists, making it a popular choice for dashboards and reports with limited space.

Flat table view

Flat View: Raw Data, Ready for Exploration. This layout presents data in a non-aggregated, tabular format, similar to a spreadsheet. It offers a quick and easy way to access the full details of each record and is perfect for scenarios where users need to delve into individual data points.

Choose the layout that best suits your project needs. The grid layout documentation provides more details.

FAQ

The grid can be displayed in different forms to enhance the storytelling of a particular dataset. The WebDataRocks supports 3 types of pivot table layouts: classic, compact, and flat view.

• The compact view is the most convenient and popular way to display a pivot grid. The compact form displays items from different row area fields in one column. Optimizing the use of space on the page, the compact view gives more attention to numeric data and displays the hierarchy as drop-down lists.

• The analog of the compact view for the pivot table is the classic view. It provides the usual Excel-like layout of hierarchies, where sub-levels of hierarchies are shown, one by one, in separate columns. The user can immediately see all members in this form and have a constant overview of the slice structure.

Flat table view

A flat layout is the simplest form and corresponds to a regular table, where the data is presented in a non-aggregated raw form without hierarchies. Such a layout gives a dataset overview with quick access to the full details of each record.

Standard grid functionality is also preserved in the flat view: filtering, sorting, the ability to change the order of columns and rows, and grand total for number values are available through the UI.

Each grid form has its use cases and is better to use in specific cases. You can learn more about their advantages in the grid layout documentation.

FAQ

WebDataRocks Vue Pivot Table: client-side library for multi-dimensional data analysis.

Experience the functionality and flexibility of the WebDataRocks Vue Pivot Table with our interactive demo, designed to showcase its capabilities within your Vue applications.

What is Vue Pivot Table

A Vue Pivot Table is a component for Vue.js applications that enables data visualization and management of multi-dimensional and hierarchical data.

Key Features for Developers:

• Highly Customizable: WebDataRocks Pivot Table offers extensive customization options to tailor the grid’s appearance and behavior to your specific needs.
• Performance: Enjoy smooth and responsive data manipulation
• Cross-Platform Compatibility: Build reports that work seamlessly across different browsers and devices.
• Easy Integration: Integrate WebDataRocks Pivot Table into your Vue project with minimal effort. Clear documentation and code examples ensure a smooth setup process.

Pivot Table Features for Analytics:

• Intuitive Analysis: WebDataRocks Vue Pivot Table boasts a familiar Excel-like interface, making data exploration effortless for your users.
• Group & Filter: Organize data by relevant categories and filter out irrelevant details for focused analysis.
• Sort & Drill Down: Uncover hidden patterns by sorting data and drilling down into specific data points.
• Export & Share: Effortlessly export reports in various formats like PDF, JSON, and Excel for further analysis or sharing.

Getting Started with the WebDatarocks Pivot Data Grid

Head over to our comprehensive documentation for detailed instructions on integrating the WebDataRocks Pivot Table component with your Vue project.

See practical examples of WebDataRocks Pivot Table in action within a Vue application.

FAQ

WebDataRocks React Pivot Table: powerful data visualization & analysis for your React applications.

WebDataRocks React Pivot Table seamlessly integrates with your React applications, providing a dynamic solution for multi-dimensional data analysis. This component transforms complex datasets into clear and insightful reports, all within your React projects.

WebDataRocks Pivot Table for React

The React Pivot Table component is a tool for interactive data analysis interfaces within web applications for reporting.

WebDataRocks Pivot Table Features:

• Seamless Integration: Ready-to-use framework wrapper for a smooth and efficient integration process in the React environment.
• Intuitive Analysis: Explore data with drag-and-drop functionality for effortless grouping, filtering, sorting, and drilling down.
• Excel-like Features: Experience a familiar and feature-rich environment with features like calculating fields, exporting data to various formats (PDF, JSON, Excel), and more.

Getting Started with the WebDatarocks Pivot Data Grid

To get started – use our comprehensive guide on WebDataRocks Pivot Grid for React.

FAQ

WebDataRocks Angular Pivot Table: powerful UI component for multi-dimensional data analysis for your Angular app.

The WebDataRocks Angular Pivot Table demo showcases a powerful data analysis tool for your Angular applications. This demo offers an interactive experience for developers to explore the capabilities of WebDataRocks Pivot Table within an Angular environment.

See how you can easily analyze and visualize your data within an Angular application.

What is Angular Pivot Table

An Angular Pivot Table is a component that allows you to display and manage complex datasets in a web application. Its intuitive interface allows users to:

• Group & Filter: Organize data by relevant categories and filter out irrelevant details for focused analysis.
• Sort & Drill Down: Uncover hidden patterns by sorting data and drilling down into specific data points.
• Calculate Fields: Derive meaningful insights through on-the-fly calculations within the pivot table.
• Export & Share: Effortlessly export reports in various formats like PDF, JSON, and Excel for further analysis or sharing.

Getting Started with the WebDataRocks Pivot Data Grid

Head over to our documentation with detailed instructions on integrating the WebDataRocks Pivot Table with your Angular project.

FAQ

WebDataRocks JavaScript Pivot Table: easy and fast data analysis in your web application.

Embedding WebDataRocks Pivot Table into your applications provides a dynamic solution for your multi-dimensional data analysis. The component transforms complex datasets into clear and easy-to-read reports, all within your webpage.

    var pivot1 = new WebDataRocks({
        container: “#wdr-component”,
        width: “100%”,
        height: 600,
        toolbar: true,
        report: {
            dataSource: {
                dataSourceType: “csv”,
                filename: “https://cdn.webdatarocks.com/data/data.csv”
            },
            slice: {
                “rows”: [{
                    “uniqueName”: “Country”,
                    “filter”: {
                        “members”: [“Country.United Kingdom”, “Country.United States”],
                        “negation”: true
                    }
                }, {
                    “uniqueName”: “Measures”
                }],
                “columns”: [{
                    “uniqueName”: “Category”
                }],
                measures: [{
                    uniqueName: “Price”,
                    format: “currency”
                }, {
                    uniqueName: “Discount”,
                    format: “currency”
                }],
            },
            formats: [{
                name: “currency”,
                currencySymbol: “$”,
                currencySymbolAlign: “left”,
                thousandsSeparator: “,”,
                decimalPlaces: 2
            }],
            “tableSizes”: {
                “columns”: [{
                    “tuple”: [“Category.Components”],
                    “width”: 105
                }, {
                    “tuple”: [“Category.(All Member)”],
                    “width”: 148
                }]
            },
            “conditions”: [{
                “formula”: “#value > 350000”,
                “format”: {
                    “backgroundColor”: “#0598df”,
                    “color”: “#FFFFFF”
                }
            }, {
                “formula”: “AND(#value > 1000, #value < 3000)”,
                “format”: {
                    “backgroundColor”: “#f45328”,
                    “color”: “#FFFFFF”
                }
            }]
        }
    });

<html>
<head></head>
<body>
<div id=”wdr-component”></div>
<link href=”https://cdn.webdatarocks.com/latest/webdatarocks.min.css” rel=”stylesheet”/>
<script src=”https://cdn.webdatarocks.com/latest/webdatarocks.toolbar.min.js”></script>
<script src=”https://cdn.webdatarocks.com/latest/webdatarocks.js”></script>
</body>
</html>

What is WebDataRocks Pivot Table?

WebDataRocks Pivot Table is an Excel-like JavaScript tool that aims to enhance the interactive analytical power of your web applications for reporting.

Why WebDataRocks?

• Seamless Integration: WebDataRocks is a JavaScript component that was created with developers in mind to help them integrate the tool into any stack with ease. Comprehensive and detailed documentation guides you through all the steps of setting and customizing the pivot grid.
• Intuitive Analysis: Using simple drag-and-drop, you can perform all major pivot table functions: grouping, filtering, sorting, drilling down, and configuring the report.
• Excel-like Features: Familiar functionality and intuitive UI design make WebDataRocks a perfect environment for comfortable analysis. Create custom calculating fields, export data to various formats (PDF, JSON, Excel), change datasets and grid modes, and more.

How do I get started with WebDataRocks Pivot Grid?

We recommend using our comprehensive guide with step-by-step instructions on installation and usage.

FAQ