Mobile UI Design Inspiration: Charts And Graphs (Check them out)

Creating stunning and functional chart UI examples is an art form that transforms raw data into visually compelling stories. In today’s data-driven world, mastering data visualization isn’t just a skill-it’s a necessity.

This article will delve into the realm of interactive charts, showcasing diverse chart types that enhance user interface design. We’ll explore how to utilize top chart libraries like Chart.js, D3.js, and Highcharts to create responsive and engaging data dashboards.

You’ll learn to craft data analytics tools that not only look great but also improve user experience (UX) through visual data representation. From line charts to pie charts, and beyond, we’ll cover the essentials of chart customization and chart aesthetics.

By the end, you’ll have a comprehensive understanding of designing chart UI examples that can revolutionize your projects, whether for business intelligence, data presentation, or infographics. Let’s dive into the details and elevate your design skills.

Advantages of Linear Graphs

Bar charts are a time-tried way of presenting quantitative data. They’re an excellent choice for your dashboard charts if you data works with the chart design. Bar graphs work so well because people naturally asses the length of each bar very efficiently.

It is easy for viewers to compare the values. This process works especially well when the bars are ordered in either ascending or descending order by length of bar. Mobile charts that use 2D position, like scatter charts, or line graphs also provide similar advantages.

Circular and Area-Based Graphs Are Hard to Understand Quickly and Accurately

On the other hand, we have the classical circular chart design. This includes gauges, pie charts, tree maps, and radar charts. They don’t communicate information as well as linear graphs do. These chart designs use area and angle to communicate their data.

It’s harder for people to understand when one area is really bigger than another, especially with nuanced data and complex relationships between data sets.

If you’re looking to use dashboard graphs to quickly and effectively communicate info, these area-based graphs aren’t the best choice. They can’t communicate complex quantitative relationships in a data set very well.

Pie charts are known for being very bad at communicating info. Donut charts are even worse. They are, however, useful for showing overwhelming disparities. For instance, a pie chart can be used to demonstrate that a single source of revenue is providing the large majority of a company’s profits.

Tree Maps

Tree maps are another form of chart. They show hierarchal data sets in a series of nested rectangles of differing sizing. The size of each rectangle corresponds to a numeric value. They can be very useful for displaying complex data in a compact overview.

Use it when users can have the opportunity to explore the dataset at their leisure and look for additional details. They are not a good fit for more simple actionable dashboards.

Gauges

Gauges use angles to communicate data. They are not a great choice for quantitative data. Gauge charts are composed of gauges that resemble analog gauges ion car dashboards. They take up a lot of space and are difficult to interpret quickly.

More Tips for Smart Mobile Chart Designing

Have No More Than 5 Slices in a Pie Chart

If you really think a pie chart would be a good choice, do what you can to keep it to having five slices or less. If there are more slice on a pie chart, the more difficult it is for users to understand what it is saying. You’ll end up with strange solutions to show labels or odd ways to make hover interactions work. If this is difficult for you to do, look into using a different kind of chart.

Order Your Data Series

It’s much easier and faster for viewers to process information in a bar graph it’s sorted in either ascending or descending order. This is only really applicable to bar chart designs. This will not work, however, if you’re working with dates or other forms of time-associated with information.

Don’t Use Randomly Generated Colors

There are some charting frameworks randomly generate colors for the data series. This is not really what you want for your mobile charts. The algorithms are not very likely to select colors that fit your site or apps overall color scheme or provide enough visual distinction between the data series to be easy to read.

The best thing to do for good chart design is select your own colors. Be sure to choose enough colors to display all the data series that could potentially be featured on the charts.

Trend Lines Are Typically a Distraction

Even though trend lines seem like they are a good addition that helps viewers get a better grasp on the data, but they usually hurt more than they help. A viewer is typically able to identify the trends on their own without the visual clutter of a trend line. If you do feel the need to add a trend line, allow users to be able to toggle it off.

Avoid Relying on Tooltips

Tooltips are supplemental or expanded information. Don’t rely on them. Viewers should be able to identify values without them on good charts.

Don’t Include a Legend When You Don’t Need One

Simplify where you can. If you only have one data series, don’t feel you need to add a legend. Instead, just use the chart title to demonstrate what data is plotted on the mobile chart.

Use Grid Lines When It’s Helpful

Grid lines guide viewers’ eyes from axis label to data points. They can be helpful sometimes, but they are not necessary on simple charts. If you opt to use grid lines, decide if you want them on both the x-axis and y-axis. Often you’ll only need it on one side or the other.

Use Real Data in Chart Mock-ups

While you might be tempted to create a beautiful chart without any regard for your data whatsoever for your mock-up, that forgets the purpose of your chart. You should sue real data whenever possible during every stage of your mobile chart design. That is the purpose of your chart, after all.

Mobile charts examples

Design can be considered a craftsmanship because you do it until you are good at it and then you keep doing it to be better. The problem is that many developers are really eager to solve functionality problems rather than spending time to solve the interface issues.

A mobile designer must embrace minimalism because he will have to limit the features available on each screen and use them efficiently. Of course, the designer must also pay a lot of attention to usability. If a function cannot be found, is to small to notice, or not large enough to be used, the application becomes unusable.

Designing for mobile seems like a difficult move from designing for web or for desktop applications and a designer must keep an eye on almost everything that he can think of and on what he doesn’t know yet. Seems like a lot of pressure meaning that there’s little time left for imagining how to make the required elements of mobile UI design.

The charts and graphs which are displayed in this article for inspiration should help a mobile app designer to expand his imagination and relieve some of the stress that he comes across while designing an app.

Android – Statistics Data Chart

Arco’s charts and graphs

Arco's charts and graphs

Stock App Design

Analytics

Mobile Dashboard

Optimize – Stats

Charts and graphs in mobile UI

Buckit financial app

Financial and news app screens

Pay Bills

Line Graph Screen

Analytics app screens

Analytics App

Health App mobile

Cycling Match

Threat Dashboard Direction iOS

Mobile dashboard

Charts

Indian Creek Trail App Concept

Manage modules

Purple charts and graphs

Sport Tracking App – Profile

Iron Chart

Noblyn App Redesign

Mobile Investment Platform

Tracking app

FAQ On Chart UI Examples

What are the best chart types for data visualization?

Choosing the right chart type depends on your data. For trends, go with line charts. To compare categories, use bar charts. Show proportions with pie charts.

For relationships, scatter plots are ideal. Each chart type serves a unique purpose in data visualization and user interface design.

How can I make my charts interactive?

Interactivity boosts engagement. Use chart libraries like Chart.js and D3.js to add hover effects, tooltips, and click events.

Interactive elements allow users to explore data deeply, enhancing the user experience. Incorporate responsive charts for accessibility across devices.

What tools are best for designing chart UIs?

For designing chart UI examples, tools like Adobe XD, Figma, and Sketch are excellent for creating prototypes. For development, use Chart.js, D3.js, and Highcharts. These tools support extensive chart customization and visual data representation.

How do I ensure my charts are accessible?

Accessibility is key. Use high-contrast colors, readable fonts, and ensure charts are navigable via keyboard. Implement alt text for images and structured data with schema markup. Accessibility enhances user engagement and broadens your audience.

What are some common mistakes in chart design?

Avoid cluttered charts with too much information. Ensure data accuracy and clarity. Use appropriate color theory to avoid misleading representations. Simplify where possible. Chart aesthetics matter, but never at the expense of readability and user comprehension.

How can I integrate real-time data into charts?

Real-time data integration is crucial for dashboards. Use APIs and real-time data feeds. Chart libraries like Highcharts and Plotly support live updates.

This keeps your data dashboards current and relevant, essential for applications in business intelligence and monitoring systems.

How do I choose the right color palette for my charts?

Choosing the right colors involves understanding color theory. Use contrasting colors for clarity. Tools like Adobe Color can help create harmonious palettes.

Ensure your color choices are accessible, considering color blindness. Color impacts both chart aesthetics and usability.

What are the advantages of using chart libraries?

Chart libraries simplify the creation of complex charts. They offer pre-built templates, customization options, and support for interactivity.

Using libraries like Chart.js, D3.js, and Highcharts saves time and ensures consistency in data visualization and user interface design.

How can I make my charts responsive?

Responsive charts adapt to different screen sizes, enhancing user experience. Use flexible layouts, scalable vector graphics (SVG), and media queries.

Chart libraries often include built-in responsiveness. This ensures charts are usable on all devices, from desktops to mobiles.

What are the best practices for chart customization?

Customization should enhance clarity and engagement. Use intuitive chart components, and relevant LSI keywords, and focus on user needs.

Avoid unnecessary elements. Prioritize readability with clear labels and legends. Effective chart customization improves data understanding and user satisfaction.

Conclusion

Creating chart UI examples is more than just plotting data; it’s about telling a compelling story through visual data representation. We’ve explored the essentials, from selecting the right chart types like line charts and pie charts, to utilizing powerful chart libraries such as Chart.js, D3.js, and Highcharts.

Incorporating interactive elements and ensuring accessibility transforms charts into dynamic tools that engage users. By focusing on user interface design and chart customization, you can create intuitive and visually appealing charts that enhance data analytics and decision-making processes.

Remember, the goal is clarity and usability. Use color theory, responsive design, and real-time data integration to make your charts not only functional but also visually striking. By adhering to best practices in data visualization and user experience (UX), you’ll elevate your projects and provide valuable insights through beautifully crafted charts.

Now, it’s time to put these principles into action and create your own stunning chart UI examples.

If you enjoyed reading this article about mobile chart design, you should read these as well:

Author
Recent Posts

Bogdan Sandu

Bogdan Sandu is a seasoned designer who has been designing websites since 2008.

Renowned for his expertise in logo design and visual branding, Bogdan has developed a multitude of logos for various clients.

His skills extend to creating posters, vector illustrations, business cards, and brochures. Additionally, Bogdan's UI kits were featured on marketplaces like Visual Hierarchy and UI8.

He also wrote in the past years on sites like Design Your Way, WebDesignerDepot, WPDean, Designmodo, Speckyboy, Slider Revolution, and more.

Mobile UI Design Inspiration of Charts And Graphs