Cross-border e-commerce data visualization: improving visual effects and optimizing operation strategies

1. The significance of cross-border e-commerce data visualization

Cross-border e-commerce data visualization can use the visual thinking ability of the human brain to help people understand a large amount of data information, and gain an in-depth understanding of its detailed content, discover the patterns hidden in the data, and find, analyze and reveal what is behind the data. information, thereby improving the efficiency of data use and the correctness of decision-making.

In life and work, the information conveyed by a picture is often more intuitive and clear than the information conveyed by many words. As the saying goes “Words are not as good as tables, tables are not as good as pictures”, the importance of charts can be seen. Statistical analysis products, customer portraits, etc. all require practitioners to have excellent data visualization capabilities. Nowadays, common information communication methods such as “Understand XX with a picture” use charts to convey information, which is a typical data visualization achievement.

Cross-border e-commerce data visualization can allow users to quickly grasp key points through simple logic and visual experience, allowing the brain’s visual system to quickly identify, store, and remember graphic information, and instinctively convert graphic information into long-term memory. Cross-border e-commerce data visualization can also change the way we interpret the world. The same data and different expression methods can produce different effects. When displaying cross-border e-commerce data, a clear and unique data chart can allow others to understand the information and intentions we want to express more intuitively and accurately, and it can also make the information we want to express look more convincing. Maximize the value of business data.

2. Improve the visual effect of cross-border e-commerce data visualization

Creating beautiful visual cross-border e-commerce data is a challenge for designers. To present a good cross-border e-commerce data visualization effect, it cannot just be a simple mixing of graphics and text. It must also be able to visually express the main purpose of the data. This requires designers to understand the framework of the data content before carrying out visual design. At the same time, Master certain skills. In order to present a good cross-border e-commerce data visualization effect, you can improve it from the following 10 aspects:

1. Color: It is recommended not to use more than 5 colors. The use of colors should be moderate and only used to highlight key information.
2. Font: All text must be clear and appropriately sized to allow users to quickly select information.
3. Format: Provide a logical layout to guide users to read information, and keep chart elements aligned as much as possible to ensure visual consistency.
4. Annotations: Use annotations with caution and only to highlight key information.
5. White space: There should be enough white space (if there is too little white space, it will look cluttered).
6. Illustrations: Illustrations must match the theme and improve the delivery efficiency of the content.
7. Icons: Simple, easy to understand and universal, their main function is to facilitate the understanding of the content.
8. Data: One set of data corresponding to one chart is enough, don’t add any extraneous information.
9. Proportion: Make sure the elements in your data visualization design are well proportioned so users can read them quickly.
10. Simple: Avoid unnecessary design, such as 3D effects of text, decorative illustrations and irrelevant elements.

3. Cross-border e-commerce data visualization steps and chart applications

Detailed explanation of steps

1. Clear the needs for data visualization and find the stories behind the data:
   When starting to create a cross-border e-commerce data visualization project, you first need to clarify what the data visualization needs are. Designers can first try to answer a question: How does this visualization project help users? Designers thinking about this issue can avoid a common phenomenon in data visualization design: putting some irrelevant data together for comparison. After determining the goals of the cross-border e-commerce visualization project, it is necessary to organize, group and understand the information to find the possibility of visualization. At the same time, it is necessary to summarize the relationship between the data and establish basic data through observation and comparison. relationship structure, and then think about how to package this data into a more interesting “story” using clearly defined visual elements.

2. Choose the right visualization type for your data:
   After determining your needs, you can choose the right visualization type for your data. Some designers choose to use different types of charts to present the same data, but in practice this approach is not worth following. Although data visualization is very efficient, it must be used accurately and the information can be conveyed accurately. Different types of data are suitable for different chart types. If designers choose a wrong chart type to display data, it can easily cause misunderstandings.

3. Determine the most critical information indicators and connect them to the scenario:
   Whether efficient data visualization can be achieved not only depends on the type of information visualization, but also depends on a balance: it must not only ensure that the overall information is easy to understand, but also highlight certain key points; it must not only provide profound and Exclusive information interpretation can also provide appropriate scenarios to connect with the context, thereby presenting the data more reasonably. Designers do not need to tell the “story” to the end, nor do they need to preach the whole article. Instead, they need to design to maximize the value of the data and guide users to draw corresponding conclusions.

4. Designed for content, optimized presentation:
   If the design form is poor, no matter how good the “story” is and how attractive the data is, users will not be attracted. Therefore, excellent design form is also a key aspect, which can help designers convert information efficiently and use exquisite appearance to attract users to read.

Application of special charts

Waterfall chart

The waterfall chart is named after its shape, which has a smooth visual effect from top to bottom like a waterfall. This type of chart uses a combination of absolute values ​​and relative values ​​to well illustrate the change process of a single series of data from one value to another, and vividly illustrates the flow of data. If the values ​​of individual data points in the chart differ greatly from other data points, the axis scale will automatically adapt to the data point with the largest value, and other data points with smaller values ​​will not be visually reflected in the chart. Column tomograms can ignore the data in the middle, so that all data can be displayed in the same chart. For example, a company’s revenue and expenditure data in the past year will be used to create a waterfall chart based on this. The steps are as follows:

• Step 1: Select any data cell, select the “Insert” tab, click “Waterfall Chart” in the “Chart” group, and select the “Waterfall Chart” option.
• Step 2: Change the title of the chart to “Income and Expenditure of an Enterprise”; select the “Gross Income” data series in the chart, right-click the mouse, and select the “Set as Summary” option in the pop-up shortcut menu. A waterfall chart will be easier to understand.
• Step 3: Perform the same operation on the “Net Income” data series to get the final result.

Tornado Diagram

The whirlwind chart can visually display the comparison of the two sets of data. This example uses a whirlwind chart to clearly display the factors that consumers of different genders value when consuming. The specific steps are as follows:

• Step 1: Select the cell range A1:C6, select the “Insert” tab, click “Recommended Charts” in the “Charts” group, select the “Combined Chart” option, and set the chart type to “Clustered” Bar Chart” with “Female” set to appear on the “Secondary Axis”.
• Step 2: Double-click the upper coordinate axis, set the minimum and maximum values ​​to -80% and 80% respectively, and check the “Reverse Scale Value” checkbox. Similarly, set the maximum and minimum values ​​of the lower coordinate axis. value; also, click the axis label and set the label position to “Low” in the Axis Options.
• Step 3: Change the chart title, click the horizontal axis, press the Delete key to delete it, and delete redundant elements such as grid lines in the same way; set the gap width of the data series to “70%”; add data labels, and Set the color, text format, etc. of the chart.