Building a data analytics dashboard can be a daunting task, especially when you need to manage data from multiple sources and present it in a user-friendly manner. Fortunately, Five offers a powerful and rapid development environment that simplifies this process.
In this step-by-step guide, we’ll walk you through building a responsive data analytics dashboard that connects to a REST API, visualizes the data, and provides interactive features for end-users.
A data analytics dashboard is a visual representation of key performance indicators (KPIs), metrics, and data points relevant to an organization, department, specific process or business. It consolidates and presents critical information in an easy-to-understand format, such as charts, graphs, tables, and gauges, enabling users to monitor, analyze, and derive insights from their data in real-time.
This article is great for business analysts, data analysts, managers, executives, IT professionals, entrepreneurs, consultants, and marketers. Those individuals who often work with data and need to communicate insights effectively to drive informed decision-making. Learning how to create visually appealing and interactive dashboards enables you to monitor key performance indicators, identify trends, and optimize strategies based on real-time data. Students and researchers in fields such as business, economics, and data science may also find the article useful for presenting their findings.
When you build a data analytics dashboard using an application builder like Five, the end result is a fully functional web application that goes beyond the capabilities of a simple Excel spreadsheet. This web app offers a range of advantages and features that make it a more powerful and effective tool for data analysis and visualization.
A web app also provides a more user-friendly and interactive experience compared to an Excel dashboard. With features like drill-down capabilities, filters, and interactive charts and graphs, users can easily explore and analyze data at various levels of detail. This interactivity encourages users to engage with the data and uncover valuable insights that might be hidden in static Excel reports.
Furthermore, a data analytics dashboard web app built with Five is highly customizable and can be tailored to match your organization’s branding and specific requirements. You can create a visually appealing and professional-looking dashboard that aligns with your company’s style and color scheme, making it more engaging and intuitive for users. This level of customization is difficult to achieve with Excel’s limited formatting options.
Another advantage of having a proper web app is that it can handle large amounts of data from multiple sources. Five allows you to connect to various databases, APIs and be cloud hosted, enabling you to consolidate and analyze data from different systems in a single dashboard. This data integration ensures that your dashboard provides a comprehensive view of your organization’s performance, rather than relying on data from a single source, as is often the case with Excel dashboards.
By the end of this guide, you’ll have developed a responsive data analytics dashboard connected to the DummyJSON API. The API’s JSON payload will be converted into relational data, displayed on a form, and visualized in a dashboard with multiple charts. Users will be able to interact with the data through the application.
Note: If your data isn’t stored using a REST API with Five you can also build your data analytics dashboard using MySQL, SQL Server, SQLite, or import from Excel/Google Sheets.
Sign Up for Free Access to the Five development environment.
To preview the application we are developing online, click here.
Download the finished application as a Five Definition File (FDF) and import it into Five. Once imported, run the application by clicking the “Deploy to Development” button, located in the top-right corner of Five.
Deploy Your Application:
https://dummyjson.com/products
_Memo
.https://dummyjson.com/products/:id
.Here’s what your app should look like. On the left, you should now see a new menu item called Product Form (your app will have different colors, because we haven’t themed it yet).
By clicking on Product Form, users can see all of the API’s data in a form created by Five.
Currently, the API returns a total of 30 rows of data. When you click on any of the products sent by the API, you can see its details. Because the API doesn’t let us update or delete products, the forms is read-only. If we had an API endpoint for each HTML method (GET, PATCH/PUT, POST, DELETE), our form could be configured with full create, read, update, and delete permissions.
We will now add two charts to our application: a bar chart and a line chart that visualize data received from the API.
Navigate to Dashboards:
Configure the Dashboard:
API Dashboard
2
2
Title | API Dashboard |
Columns | 2 |
Rows | 2 |
Add Actions to the Dashboard:
Set Chart Positions:
A1
, select StockChart
(Chart) as the Action. Save it by clicking the Tick icon.B1
, select PriceChart
(Chart) as the Action. Save it by clicking the Tick icon.A2
, select ProductAPI
(Form) as the Action. Save it by clicking the Tick icon.Save the Dashboard:
Add a Menu Item for the Dashboard:
It’s time to run the application again. Here’s what it should look like (again, your app will have different colors, because it doesn’t have a theme).
To deploy your data analysis dashboard to the web, sign up for one of our paid plans, starting from US$29.99 per month and application. Your plan includes unlimited end-users and provides you with a custom URL to access the application online.
If you need assistance: