Sun Navigation Made Easy Volume 1
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Color can highlight an area of focus, when it is used sparingly. Applying text labels to data also helps clarify its meaning, while eliminating the need for a legend. See more in color contrast. Chart lines can express qualities about data, such as hierarchy, highlights, and comparisons.
Line styles can be styled in different ways, such as using dashes Line styles can be styled in different ways, such as using dashes or varied opacities. Text can be used to label different chart elements, including: The text with the highest level of hierarchy is usually the chart title, with axis The text with the highest level of hierarchy is usually the chart title, with axis labels and the legend having the lowest level of hierarchy. Headings and varying font weights can communicate which content is more or less important than other content in the hierarchy.
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However, these treatments should be used sparingly, with a limited number of typographic styles. Iconography can be used for: When placing icons in A labelled axis, or multiple axes, indicates the scale and scope of the data displayed.
For example, line charts display a range of values along For example, line charts display a range of values along both horizontal and vertical labelled axes. Consider removing axes altogether to keep the data as the focal point. You can place values directly on their corresponding chart elements. Bar charts should start at a baseline the starting value on the y-axis of zero. Label usage should reflect the most important data insights in a chart. Axis labels should be used as needed, and in consistent ways across a UI.
Their presence should not inhibit reading the chart. Annotations should highlight data points, data outliers, and any noteworthy content. On mobile, place the legend above the chart to keep it visible during interactions.rivikejudi.gq
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Chart elements can be labeled directly in simple charts. However, charts that are dense or part of a larger group of charts can display labels in a legend. Charts displayed on wearables or other small screens should be a simplified version of the mobile or desktop chart. Charts provide interaction patterns that give users control over the data displayed. The following recommended interaction patterns, styles, and effects like haptic feedback can improve user understanding of chart data:. Reveal chart details using progressive disclosure, which allows users to view specific data points as needed.
Revealing details Mobile On mobile, a touch and hold gesture displays a tooltip placed above the chart. Zooming and panning are popular chart interactions that affect how closely users can study data and explore the chart UI. Zooming changes whether the UI Zooming changes whether the UI is shown from either nearer or farther away. The device type determines how zooming is performed. Panning allows the user to explore the UI that expands beyond the screen.
It should be constrained in ways that make sense for the data displayed. For example, if one dimension of a chart is more important than another, the direction of panning can be restricted to only that direction. On mobile, pagination is a common pattern that allows users to view the previous or next chart by swiping right or left. Data can be filtered or changed using toggle controls, tabs, and drop-downs. These controls can also display metrics, while users adjust the controls.
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Motion can enhance and reinforce the relationship between data and how users interact with it. Motion should be used purposefully not decoratively , expressing the connection Motion should be used purposefully not decoratively , expressing the connection between different states and spaces. In this example, data animates between being displayed by day and then by week. Empty graphs and charts can display content that suggests what to expect when data is available. Where applicable, character animations can be shown to provide Data visualization can be displayed across a series of multiple charts, in UIs called dashboards.
Multiple, separate charts can sometimes better communicate a story, rather than one complex chart. Information should be prioritized and arranged based on the questions asked of the data. In this example operations dashboard, the following user questions are considered: 1.
Issues that need attention 2. Time that issue occurred 3. Location that issues occurred 4. Other variables affected by the issue. Analytics dashboards enable users to explore multiple sets of data and discover trends. Usually these dashboards include complex charts that enable the discovery of data Usually these dashboards include complex charts that enable the discovery of data insights.
Operations dashboards are designed to answer a predefined set of questions. They are typically used to complete monitoring-related tasks. In most cases, these types of In most cases, these types of dashboards feature current information arranged a set of simple charts. Presentation dashboards provide a curated snapshot on a topic of interest. These dashboards typically include a few small charts or a scorecard, with dynamic headlines These dashboards typically include a few small charts or a scorecard, with dynamic headlines that explain the trends and insights provided in each supporting chart.
Surfaces Elevation Light and shadows.
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Understanding layout Pixel density Responsive layout grid Spacing methods Component behavior Applying density. Understanding navigation Navigation transitions Search. The type system Understanding typography Language support. Product icons System icons Animated icons.
Understanding motion Speed Choreography Customization.
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Gestures Selection States. Selecting charts. Overview Implementing your theme. Accessibility Bidirectionality. Android bars Android fingerprint Android haptics Android icons Android navigating between apps Android notifications Android permissions Android settings Android slices Android split-screen Android swipe to refresh Android text selection toolbar Android widget Cross-platform adaptation.
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Data visualization. Data visualization depicts information in graphical form. Principles Data visualization is a form of communication that portrays dense and complex information in graphical form. Types of charts. Read More. Change over time Change over time charts show data over a period of time, such as trends or comparisons across multiple categories. Common use cases include: Stock price performance Health statistics Chronologies.
Showing change over time. Bar and pie charts. Area charts.