Mobile data visualization faces unique challenges such as limited screen size, low touch accuracy, and unstable network conditions. As a mainstream library, ECharts needs to pay special attention to interaction smoothness and usability. Gesture response delays exceeding 100 milliseconds can cause perceived lag, while high mis-touch rates hinder analysis efficiency. It is recommended to use `touchstart` instead of `click` events and adopt delegation patterns to improve performance. For pinch-to-zoom, set the `throttle` parameter. For map-based visualizations, pay attention to the `roam` configuration. Mobile GPU acceleration requires dynamic detection of device capabilities. For data updates, the `notMerge` parameter in `setOption` is recommended. Adaptive layouts should use `vw` and `vh` units with media queries. Legends should be collapsible or use bottom sliders. Tooltips need larger trigger areas. In unstable networks, cache WASM modules and map data. To enhance accessibility, improve ARIA support and combine shapes with colors for users with color vision deficiencies. Prepare fallback solutions for abnormal scenarios. In low-power mode, dynamically adjust animation complexity.
Read more
Accessible design is crucial for digital products to ensure equal access for all users. When using the ECharts data visualization library, considerations must include colorblind users, keyboard navigation, and screen reader compatibility. Good design meets regulatory requirements, expands the user base, and enhances inclusivity. Color contrast should comply with WCAG standards, avoiding reliance on color alone to distinguish data. ARIA attributes should be used to support screen readers, while keyboard navigation functionality must be provided. Implement high-contrast modes, generate data tables as alternative displays, and control animation effects to prevent flickering. Responsive design should adapt to various devices, optimize touch controls, and support multilingual localization. Ensure basic functionality on low-performance devices and enhance the experience through progressive enhancement. These measures collectively build an inclusive data visualization environment.
Read more
Responsive interaction design is crucial in modern data visualization. ECharts achieves user interaction and adaptive layouts in complex scenarios through flexible configurations and event mechanisms, with its core relying on resize event listeners and dynamic option updates. It provides a multi-level event handling system, including basic mouse operations and data-related interactions. Media queries enable style switching across different screen sizes. Performance optimization strategies encompass incremental rendering and throttling. Multi-chart coordination synchronizes multiple instances. Mobile adaptation requires special handling for gesture support and responsive typography. Dynamic theme switching necessitates complete redraws. Server-side rendering integration requires specific Node.js environment adjustments. Accessibility support follows WCAG standards for implementation solutions.
Read more
ECharts rich text styling provides powerful text formatting capabilities, supporting mixed typesetting effects such as multi-line text with varying colors, font sizes, and alignments. Using HTML-like tag syntax, style blocks can be defined, and specific properties can be configured in the `rich` object. Common styles include color, font size, weight, background color, borders, shadows, etc. It supports multi-line text layout and mixed use with icon fonts, enabling complex layouts. It also supports dynamic data binding and special character handling. For performance optimization, it is recommended to reduce the number of rich text blocks, reuse style definitions, and avoid frequent updates to rich text content. For compatibility, note the support for CSS3 properties in older browsers. Rich text can be combined with tooltips, axis labels, legends, and other features to enhance visualization effects.
Read more
In ECharts, mark lines and mark points are auxiliary elements used to highlight specific data or areas in a chart. Mark lines typically appear as straight lines spanning the chart, while mark points are graphical markers displayed at specific data positions. These elements are commonly used to annotate key data points such as averages, thresholds, maximums, and minimums. In chart types like line charts and bar charts, mark lines and mark points can intuitively convey additional information. Mark lines are configured via the `markLine` option, supporting various positioning methods and style customization. Mark points are implemented through the `markPoint` option, designed to highlight specific data positions. In practical applications, mark lines and mark points are often used together to enhance the chart's informational expressiveness. ECharts supports dynamic updates of these mark elements, which is highly useful for interactive data analysis. It also provides rich styling options, allowing full customization of the appearance of mark lines and mark points. In complex charts, mark lines and mark points can be combined with other ECharts features to achieve more powerful effects. When dealing with large datasets, performance optimization is recommended, such as reducing unnecessary mark elements. ECharts offers a comprehensive event system for mark elements, enabling responses to user interactions. For different screen sizes, adjustments may be needed for the display of mark elements.
Read more
Visual mapping in ECharts is a component that maps data values to visual elements such as color, size, and opacity, enabling intuitive display of data distribution and trends. It is primarily divided into two types: continuous and segmented. Continuous mapping is suitable for continuous numerical data, while segmented mapping is ideal for discrete categorical data. Visual mapping supports multiple visual channels, including color, size, opacity, and symbol type, with rich configuration options for precise control over mapping relationships. It also enables multi-dimensional mapping and custom mapping functions. Widely used in charts like maps, heatmaps, and scatter plots, it offers interactive features and style customization options. It can integrate with data zoom components and, when handling large-scale data, supports performance optimizations such as reducing the number of visual channels or using discrete mapping. Additionally, it supports event listening and theme integration.
Read more
The DataZoom component in ECharts is a core feature for dynamically adjusting the data range of charts, supporting both slider and built-in types. It enables interactive selection of specific data segments, making it particularly suitable for large-scale dataset visualization. DataZoom offers extensive configuration parameters, including basic settings, interaction controls, and style adjustments, and supports multi-axis linkage and synchronized control. When data updates dynamically, it can be configured to maintain the current zoom state. It is optimized for mobile devices with gesture support and allows custom control logic and external control interactions. For performance optimization, it is recommended to use throttling, sampling strategies, and disable animations. Practical applications include stock K-line charts and map region displays. Common issues involve scaling failures, range abnormalities, and performance problems, which can be resolved by checking axis indices, adjusting parameter settings, and using big data mode.
Read more
In ECharts, axis style control is a crucial component of data visualization, directly impacting chart readability and aesthetics. It supports various axis types, including category, value, time, and logarithmic axes, each with specific configurations. Customizable axis line styles such as color, width, type, and arrows are available. Tick marks are divided into major and minor ticks, with adjustable length, position, and style. Tick labels support rotation, rich text, and custom formatting. Gridlines enhance chart readability, and multiple axes can be configured. Polar axes have unique settings. Animation effects improve interactivity, while responsive design adapts to different screen sizes. Event interactions are supported, and advanced techniques combine multiple properties to create special effects.
Read more
A legend is a component in data visualization charts used to illustrate the visual symbols and text labels corresponding to different series or categories. In ECharts, legends help users understand the categorical relationships in chart data through visual cues and labels. Legends can be arranged horizontally or vertically and support interactive behaviors like clicking to filter series. Through configuration, users can control the legend's position, layout, style, and interactive features, including customizing text styles, setting legend marker sizes, defining graphic styles, and enabling selection modes. When there are too many legend items, a pagination feature can be enabled for browsing. Users can also customize legend content and icons. Legends are automatically linked to series data, and in dynamic data scenarios, they can be updated via `setOption`. For special charts like pie charts, legends can display numerical percentages. By binding legend click events, custom interactions can be implemented. ECharts provides the `legendselectchanged` event to handle changes in legend selections.
Read more
In ECharts, the tooltip is an information box displayed when users hover over data points, providing detailed information. Basic configuration involves enabling its display, supporting various trigger methods such as data item triggering and axis triggering. Content can be formatted, appearance customized, and position controlled. Advanced features include delayed display, custom rendering, and multi-axis tooltips. Practical examples cover scenarios like composite charts, pie charts, and maps. Performance optimization suggestions include disabling animations and setting throttling. Mobile adaptation requires adjusting styles and interactions. Extensions enable features like linkage and dynamic updates via APIs. Theme integration allows for a unified style.
Read more
