{"id":25069,"date":"2024-08-08T10:33:51","date_gmt":"2024-08-08T10:33:51","guid":{"rendered":"https:\/\/www.highcharts.com\/blog\/?p=25069"},"modified":"2026-01-13T11:57:48","modified_gmt":"2026-01-13T11:57:48","slug":"dashboard-examples-using-highcharts-dashboards","status":"publish","type":"post","link":"https:\/\/www.highcharts.com\/blog\/tutorials\/dashboard-examples-using-highcharts-dashboards\/","title":{"rendered":"Dashboard examples using Highcharts\u00ae Dashboards"},"content":{"rendered":"

In this post we’re exploring dashboards and sharing some examples using Highcharts\u00ae Dashboards. Dashboards are useful for businesses and organizations to visualize data in a clear and simple way. They let you see trends, patterns, and key information into one accessible place, making it easier to understand the current state of your organization and take necessary actions.<\/span><\/p>\n

Highcharts<\/span>\u00ae<\/span> Dashboards is a development library pre-loaded with time-saving features and options for customization that will save you hours of development time on your dashboard projects, whether you\u2019re building a single custom dashboard or use it as a starting point for a more complete dashboards product.<\/span><\/p>\n

If you’re new to dashboards or have been using them for some time, this blog post offers inspiration on how to integrate Highcharts\u00ae Dashboards into your projects.<\/p>\n

To see more demos and get an even better understanding of the opportunities Highcharts\u00ae Dashboards offers, please head over to the dashboards <\/span>in the demo section<\/span><\/a> of our website, read up on the <\/span>dashboards section of our technical documentation<\/span><\/a> or visit the <\/span>Highcharts\u00ae Dashboards product page<\/span><\/a>.<\/span><\/p>\n

Whether you’re a developer working with JavaScript, .NET, React or other common frameworks, we\u2019re confident you\u2019ll find the inspiration you need.<\/span><\/p>\n

Highcharts also integrates seamlessly with popular languages such as Python, R, PHP and Java, as well as mobile platforms like iOS and Android. Additional support for frameworks like Svelte, Angular, and Vue, makes it a versatile tool for various development environments.<\/span><\/p>\n

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Project Management<\/strong><\/h2>\n

This example showcases the practical application of Highcharts\u00ae Dashboards in creating a project management dashboard. It features several fundamental components that offer insights into project progress, team workload, and overall status. The dashboard provides a clear overview of sprint status, allowing stakeholders to track progress and identify any potential delays or issues. Additionally, it displays team workload, enabling managers to allocate resources efficiently and ensure balanced workloads across team members.<\/p>\n

A key feature of the dashboard is the project status overview, which provides a high-level summary of project milestones and objectives. This allows stakeholders to gauge overall progress and identify areas that may require additional attention. Furthermore, the dashboard includes a Gantt chart that visualizes individual project tasks and their timelines. This enables stakeholders to understand project timelines at a glance, identify dependencies between tasks, and make informed decisions about project scheduling and resource allocation.<\/p>\n

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\"Project<\/p>\n

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Go to live demo<\/a><\/div>\n
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Go to the demo page for the \u201cProject Management\u201d dashboard<\/a> to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.<\/div>\n
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Cloud monitoring<\/strong><\/h2>\n

The \u201cCloud monitoring\u201d dashboard presents a practical approach to visualizing AWS server data through a dashboard interface. It offers a straightforward and efficient way to monitor server performance and status in real-time. There are KPI and Spline charts that visualize key performance metrics, allowing users to quickly assess server health and identify any anomalies. A notable feature of the dashboard is the DataGrid, which displays a list of all server instances along with their respective status and performance indicators. Users can click on a specific instance in the DataGrid to update the dashboard and view detailed information about that instance. For those who require live updates, the dashboard offers polling functionality that automatically refreshes the data on the charts every 2 seconds. This ensures that users have access to the most up-to-date information, enabling timely decision-making and troubleshooting.<\/p>\n

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\"Cloud<\/p>\n

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Go to live demo<\/a><\/div>\n
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Go to the demo page for the \u201cCloud monitoring\u201d dashboard<\/a> to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.<\/div>\n
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Personal finance<\/strong><\/h2>\n

The “Personal Finance” interactive dashboard provides a concise outline of a personal financial status, presenting key metrics such as total balance, savings, earnings, spendings, transactions, and wallet condition. Such a dashboard could serve as a central hub for managing one’s personal finances efficiently. Dedicated sections for savings and earnings makes it possible to track progress towards financial goals and assess income sources over time. Similarly, the spendings section provides insights into your expenditure patterns, helping you manage your budget effectively. The transactions feature offers a detailed breakdown of activities, including transaction id, receiver, amount and balance which allows for thorough monitoring and analysis of a personal financial situation.<\/p>\n

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\"Personal<\/p>\n

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Go to live demo<\/a><\/div>\n
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Go to the demo page for the \u201cPersonal finance\u201d dashboard<\/a> to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.<\/div>\n
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Sync of highlight cursor<\/strong><\/h2>\n

The \u201cSync of highlight cursor\u201d example highlights the functionality of DataCursor visual states, specifically the highlighting of points when hovered over. By hovering over a point in one chart, related points on other charts are also highlighted, providing a synchronized view of the data across multiple charts. The data used in this demo represents worldwide production quantities in million metric tons for specific vegetables, sourced from the Wikipedia article “Vegetable”. This dataset allows users to explore production trends and patterns for various vegetables. The main feature showcased in this demo is the interactivity and synchronization between charts. Users can hover over data points to gain insights into specific data points while simultaneously observing the corresponding data points in other charts. This allows for a more comprehensive analysis of the data and facilitates comparison between different datasets.<\/p>\n

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\"Sync<\/p>\n

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Go to live demo<\/a><\/div>\n
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Go to the demo page for the \u201cSync of highlight cursor\u201d dashboard<\/a> to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.<\/div>\n
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Climate data<\/strong><\/h2>\n

This dashboard example presents agroclimatic data based on the NorESM1-M model, sourced from the Norwegian Climate Centre on behalf of the Copernicus Climate Change Service. The dataset spans from 1951 to 2010, providing 10-day average data with a temporal resolution of 10 years. The data is derived from historical records collected from ground observations and satellites as part of the Copernicus Observation Programme. For more detailed information, users can refer to the Climate Data Store of the European Union. The dashboard offers several interactive features to facilitate data exploration and analysis. Users can click on map markers to refresh all charts and components, allowing them to visualize related data and gain insights into specific geographic regions. Additionally, users can utilize the top navigator to select a specific time range, enabling them to focus on data from particular time periods of interest.<\/p>\n

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\"Climate<\/p>\n

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Go to live demo<\/a><\/div>\n
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Go to the demo page for the \u201cClimate data\u201d dashboard<\/a> to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.<\/div>\n
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Accounting<\/strong><\/h2>\n

This example shows a straightforward dashboard designed to present sample financial results alongside forecasts, as well as revenue and costs compared to the budget. This dashboard offers a clear snapshot of key financial metrics, allowing users to assess an organization’s performance and anticipate future trends with ease. End users can quickly compare actual financial data against budgeted targets, gaining insights into areas of success and potential areas for improvement. The dashboard also includes predictive analytics, providing forecasts for future revenue and cost trends, which can inform strategic planning and decision-making. With interactive charts and visualizations, users can explore the data in more detail, examining trends over time and identifying patterns that may impact financial performance.<\/p>\n

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\"Accounting<\/p>\n

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Go to live demo<\/a><\/div>\n
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Go to the demo page for the \u201cAccounting\u201d dashboard<\/a> to view its code, play around with different theme colors or edit it on JSFiddle or Codepen.<\/div>\n
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Conclusion and additional resources<\/strong><\/h2>\n

In this post, we explored the creation of dashboards using Highcharts\u00ae Dashboards, emphasizing their utility in visualizing data for businesses and organizations. Highcharts\u00ae Dashboards simplify the creation process with customizable layouts, interactive charts, and data filters. Whether you’re new to dashboards or an experienced user, Highcharts\u00ae Dashboards offer inspiration and practical ideas for your projects. The tool integrates with popular languages and frameworks, making it versatile for various development environments.<\/p>\n

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Related posts<\/strong><\/h2>\n