In today’s digital era, we have access to an infinite amount of information in just a few clicks. It opens great opportunities for doing business, but at the same time poses the challenge of effective data usage. That’s where data analysis comes in handy. It is the process of collecting, cleaning, transforming, and visualizing data in a well-structured form. The key objective of data analysis is to discover valuable insights for data-driven decision-making.
Many companies invest in the development of web applications that facilitate this process. If this is true in your case, this blog post can be really useful. DHTMLX offers the Grid, TreeGrid, Chart, Spreadsheet, and Pivot libraries designed for implementing the core functionalities required in data analysis.
When working on a web project aimed at data analysis, it is hard to go without a data table. This UI element, also called a data grid, is widely used for arranging information in a tabular format. DHTMLX Grid allows not only presenting large amounts of data in rows and columns but also provides many useful features that make the interaction with data more convenient and effective.
For instance, you can enable end-users to easily reorder any row and column with drag-and-drop, freeze one or several columns, perform filtering and sorting operations, simultaneously select multiple cells, resize columns, add multiline cell content, and much more. If changes have to be made in tabular data, our grid component comes with a range of built-in column editors for specifying the way of editing grid cells depending on their content.
Another great thing about the DHTMLX Grid is that you won’t have to worry about any performance limitations when dealing with big datasets. You can easily upload JSON files with tables containing thousands of rows. Our grid uses the lazy loading technique to speed up the performance of your app by loading only the part of web content that is expected to be seen at a given time. Apart from that, you can also integrate the pagination widget into the grid table to split big data into multiple pages for better navigation.
Using DHTMLX TreeGrid, you can create sophisticated data structures with parent/child relationships that are frequently encountered in data analysis and present them in a clear way.
The flexible API of our data visualization JS library allows setting up the main properties (scales, series, legend) for any available chart type exactly the way you like. You will certainly appreciate the possibility to enrich charts with various useful features such as grid lines, baseline, logarithmic scale, tooltip, label, and many others. Since DHTMLX Chart also supports live updates, you are able to visualize constantly changing data in real-time.
Just like our grid components, our charting library is offered in a package with other UI widgets included in the Suite library or as a stand-alone tool. Our team created multiple demo applications vividly demonstrating practical usage scenarios of all three components in combination with other DHTMLX widgets.
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DHTMLX Spreadsheet comes with a collection of predefined formulas (170+) for performing different kinds of operations, formatting string data, and checking conditions with boolean operators. All of them are usable in Excel and Google Sheets. You can also create multiple sheets for dividing data into various categories and, if necessary, consolidate specific pieces of information from multiple sheets via cross-referencing using needed formulas.
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Our spreadsheet has a user-friendly interface with numerous built-in capabilities such as undo/redo actions, freezing columns, locking and unlocking cells, adding and deleting columns and rows, changing row height, and more. It also provides a considerable list of hotkeys serving to simplify the spreadsheet navigation.
There are six customizable default data types (common, date, text, number, currency, percent) for showing numeric values in cells. If that’s not enough, you can also add custom formats. Moreover, it is possible to modify the look and feel of the spreadsheet or its elements to adjust it to project requirements.
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Data filtering is one more important asset of our pivot. It enables you to specify filters depending on the data type (string, number, date) right from the UI or via the corresponding API. You can make use of a global filter for applying several filtering rules to the dataset or remove all existing filters at once. To make the pivot table more visually appealing, you can color cells with certain values, and style headers of rows and columns in the desired way.
Useful resources: guides, live samples, free trial version
- High performance with large datasets
- Full interface customization
- Cross-browser and multi-platform compatibility
- TypeScript support
- Data export to Excel and CSV formats
- Complete UI localization
Taking advantage of our feature-packed JS data analysis libraries, you can build web apps that will cover your needs in data analysis.
If you are still not sure that DHTMLX is the right choice for productive data analysis, download a free 30-day trial version of any product to make a personal assessment of its suitability.