In recent months, I have been using the Diesel Wisdom Data visualization interactive platform to make a large screen, and I found that it is very convenient and efficient to use. Through this platform, I have made many beautiful and cool data report large screens , work summaries, performance briefings, etc. Really helped me a lot.
However, in the process of use, it is inevitable to encounter situations where individual functions cannot be used. For example, when I used the Diesel Smart Number processor , I didn't know how to use it. Many people heard the processor and it was natural. Thinking of the computer's processor, fortunately, I learned how to use it through the operation guide. So today I will share the method and experience of using Diesel Smart Number Processor.
In short, a computer's processor is used to process all kinds of data. So what do processors in data visualization do? In fact, this is similar to the computer used to process data, the difference is the conversion of data formats.
What is the processor of Diesel Smart Number? Look at the picture first:
Processors are divided into three categories: graph data processors, big data sharing processors, and other processors.
The above files are all written data processors , which are used to convert data formats.
We all know that the most important thing in visualizing the big screen is data. To display the data stored in various libraries, tables, and files, we need to use related components, and each component has a fixed data format. However, The format of the stored data is not uniform, and cannot meet the data format required by each component. At this time, the data in various formats can be converted into the data format that meets the requirements of the component through the processor.
So how do you create and use processors?
Before creating a processor, we need to know whether the data format taken from the data source matches the data format used by the component. If they are the same, use them directly. If it is different, then we need to write a processor for data transformation, or write it ourselves in the data personalization transformation. The following is the specific implementation process of the processor.
First, create a handler. We can choose the appropriate processor classification according to the components used. Because it is the data conversion of the chart, click the [Chart Data Processor] category, and click [Add Processor]. As shown in the figure:
Then write the processor name and data conversion logic in the pop-up box on the left, and click Save after writing.
It should be noted that when the data conversion logic is incorrect, it cannot be saved.
Data processing transformation is written in javascript language, therefore, we better know javascript language. Of course if you don't know the processor you can use the system template.
After writing the data transformation logic, a pie chart processor is ready.
So how to use the programmed processor?
Open the large screen in the design and select the components in use as shown in the following figure [Pie Chart] (example).
- First find the component from the component bar on the left and drag it to the canvas
- Then select [Data] in the right navigation bar to perform data matching.
3. Click to select a template, and select the prepared pie chart processor in the pop-up box on the left. Steps 1, 2, and 3 are shown below.
4. After clicking to select the processor, there will be an additional conversion edit column in the data normalization conversion list
When you select, the system will automatically convert the data from the data source into a data format suitable for pie charts. In fact, it is not difficult, as long as you know what it is and what it is used for.
Today, I will introduce the processor functions in the Diesel Wisdom Data Visualization Interactive Platform. If you don't understand, remember to poke the editor. More rich functions are waiting for you to discover.