Detailed explanation of use scenarios and functions of polar coordinate sector diagram

Polar charts can be displayed very intuitively Cube , In this way, you can see at a glance which variables have similar values 、 Variables and outliers of variables can be displayed intuitively . The polar chart is suitable for viewing those variables with high or low scores in the data set , Can well show the differences between the data , Show the key features of multiple data sets , And the comparison of values . It is generally applicable to the value of multiple data in multiple dimensions .

Polar charts are not suitable for data with many kinds of data , It seems that the graphics will look bloated , Make the graphics more chaotic , This will reduce readability , As a result, the data cannot be seen at a glance .

Next, let me talk about Intelligent visualization platform The polar coordinate fan diagram in the large screen ” Applicable scenarios and functions of components , The following large screen is the template large screen of this platform , among “ Average salary of different degrees ” The polar sector chart component of the histogram is used .

This time, we will mainly focus on the usage scenarios and applicable scenarios of components , Polar sector graph belongs to the classification of histogram , We can find the polar sector graph by expanding the histogram , Click or drag to add components to the large screen .

The default effect of polar sector diagram is shown in the following figure , You can see that the polar sector chart supports many personalized settings .

When using this component , We want every data set to have its own characteristics , At this time, we can refer to the graphic color group to add different colors to achieve the distinction between different data , This also facilitates the observation of data , monitoring .

Click... In the graphic color group ”+” No. add different colors , I want every data set to have different colors , The premise is that “ Different colors of columns ” The switch is on , In this way, the color distinction between different data can be achieved .

Similarly, if you want to make the data component display more obvious , Data differentiation is more obvious , You can also set the stroke color of the column bar .

The effect of setting is shown in the following figure ：

When there are too many datasets , At this time, you can choose to adjust the width of the column , So that when there are too many data sets, they don't look so bloated .

When it is necessary to strictly distinguish the data sets of each part , You can add X The dividing line of the axis , Add color .

When it is necessary to show each scale in each data set more intuitively , Then you can add Y The dividing line of the axis , Add color .

When using components , When there is color perception disorder , At this time, you can open “ Barrier free pattern display switch ”, The effect is shown below .

If the position of the scale label of the component is not satisfactory, or overlaps with a sector , At this time, you can choose to adjust the label scale position .

If you don't want to observe through the scale label , Want to more intuitively view the size of data from the legend , At this time, you can add it to the desired location by displaying the location of the data .

Available 5 Personalize your settings in places

Each component has its own applicable scenario , You can use rich imagination , To create the large screen you want , Applying the right components will be complicated Data reports simplify , Let the data meet ” speak ”. As long as the large screen components are used reasonably , You can easily Data visualization , You can log in to the official website of the platform to view the operation function guidance .