Best practices for building data visualizations using Go and React-vis

With the continuous development of data technology, data analysis and visualization have become important means for decision-making and business optimization. Among them, using Go and React-vis to build visual data is currently a very popular solution. So, what techniques and methods can improve efficiency and quality in practice? This article will introduce you to some best practices.

1. Understand the data
Before building data visualization, you first need to understand and analyze the data. Only by deeply understanding the background information of the data can we develop appropriate visualization solutions. Therefore, you need to have the following information.
(1) Data type: text, number, date, Boolean value, etc.
(2) Data structure: array, object, graph, table, relationship, etc.
(3) Data scale: number of rows and columns Number
(4) Data range: maximum value, minimum value, average value, median, etc.

2. Choose the appropriate visualization tool
When building visual data using Go and React-vis , you can choose the appropriate visualization tool based on the type and form of data.
(1) Line chart: suitable for displaying the trend of time series or continuous data.
(2) Column chart: suitable for displaying comparisons between categories, such as sales in different months.
(3) Funnel chart: suitable for showing the conversion rate from one stage to another.
(4) Scatter plot: suitable for showing the relationship between two variables.
(5) Map: Suitable for displaying geographical data.

3. Optimize data transmission and processing
In order to improve the loading speed and response speed of visual data, you need to consider the following aspects.
(1) Data compression: Use compression algorithms, such as Gzip and Brotli, to reduce the amount of data transmission.
(2) Paging loading: Load data by page to avoid loading all data at once.
(3) Caching: Use caching technology, such as localStorage and sessionStorage, to speed up data response.

4. Enhance data interaction
Visualized data is not only static display, but also dynamic interaction. Therefore, you need to optimize data interaction.
(1) Data filtering: Allow users to select the data to display, such as selecting which month to display in the histogram.
(2) Data sorting: Allow users to sort according to specific rules, such as sorting by sales volume, etc.
(3) Data linkage: Allow users to interact with one chart to affect the status of other charts.
(4) Data prompt: Allow users to view detailed information by hovering or clicking with the mouse.

5. Improve the aesthetics and legibility of visual data
Aesthetics and legibility are also important factors in constructing visual data. The following points are for your reference.
(1) Color selection: Choose appropriate main colors and color schemes, and avoid too many colors and colors that are too bright, so as not to affect the reading and understanding of the data.
(2) Font selection: Choose a font type and size that is easy to read and avoid fonts that are too small or too large.
(3) Graphic element selection: Select appropriate graphic elements, such as the size, shape and color of lines and points, etc.
(4) Chart layout: Choose an appropriate chart layout based on data type and needs, such as horizontal or vertical layout of a bar chart.

Summary
Through the above best practices, you can better use Go and React-vis to build visual data and improve efficiency and quality. Of course, these are only some aspects of visual data, and they still need to be adjusted and optimized based on the actual situation.

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