历史版本39 :Rectangular Block Chart 返回文档
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目录:

I. An Overview of Marimekko Chart编辑

1) Marimekko Chart, also known as Mosaic Chart, is a valuable data visualization tool that represents different categories of data through varying widths and heights of its segments. This chart is crucial for providing a comprehensive view of the data, showing both the size of each segment relative to the whole and across different categories simultaneously. As illustrated in the diagram, the duration of visitation correlates positively with the depth of color in the chart.

2) In the workplace, Marimekko Charts are instrumental in strategic planning and analysis, helping stakeholders quickly discern the distribution and impact of various segments within a market or organization. Their use promotes better understanding and decision-making by highlighting critical areas of interest and potential growth opportunities within complex data sets.


3) Related Articles:Data Integration in Chart VisualizationsComprehensive Chart Design ElementsDynamic Chart Interactivity Features

Marimekko Chart.png

II. Steps to Create a Marimekko Chart编辑

Data Preparation

1. Log in to the system as the admin, click My Analysis, select a folder, and click New Subject, as shown in the following figure.

Marimekko Chart.png

2. Click Local Excel and click Upload Data, as shown in the following figure.

You can download the example data. Visit Statistics.xlsx

Marimekko Chart

3. After the data is uploaded, click OK.

Marimekko Chart

Component Creation

Click Component in the lower left corner.

Marimekko Chart

Chart Generation

Create a rectangular block chart through the custom chart.

1. Click the Custom Chart icon in Chart Type and select Rectangular Block from the drop-down list in Graphic Property. Drag the Platform field into the Horizontal Axis and the Final Status field into the Vertical Axis, as shown in the following figure.

Marimekko Chart

2. Rectangular blocks appear in the chart preview, but the distribution of the rectangular block in final status and the access time on the platform are not displayed. Therefore, you need to drag the Total Stay Time field into the Color bar of Graphic Property to indicate that the color in the chart is displayed according to the stay time.

Marimekko Chart

iconNote:
You can also drag the field into the Size bar, representing that the block size in the chart will be displayed according to the stay time.


Marimekko Chart

Component Beautifying

Click the icon `$O}@4RBO4]GP~SUOO}C373.pngof the Color bar in Graphic Property and set the Gradient Solution to Modern, as shown in the following figure.

Marimekko Chart

Click Adaptation Display in Component Style and select Overall Adaptation to view the overall effect of the created rectangular block chart in the chart preview, as shown in the following figure.

Marimekko Chart

iconNote:
Rectangular block charts allow you to set the parameters of ColorSizeLabelPrompt, and Fine-grained in Graphic Property, and other parameters in Component Style. For details, see Graphic Properties and Chart Component Style.



Effect Display

On PC

 10.png

On Mobile Terminals

The following figure shows the preview effect on the DataAnalyst app and in HTML5.

11.png

Other Scenarios编辑

Field Exchange

You can exchange the fields of horizontal and vertical axes by clicking 8@7_[O4~~T@F4_K$QS~3U)1.png. The effect preview is as follows.

12.png

Multiple Dimensions/Indicators

You can drag multiple fields into horizontal and vertical axes to display the data with multiple dimensions and indicators.

For example, if you want to display the distribution by year, you can drag the Date field into the position before the Final Status field, and click the icon 企业微信截图_17034958875941.png to group the field by Year.

The preview effect is shown in the following figure.

13.png

 14.png

III. A Conclusion of Marimekko Chart编辑

In conclusion, the Marimekko Chart stands out as a robust tool for visualizing complex data sets in a clear and structured manner. By allowing for the simultaneous representation of different data categories with variable dimensions, this chart type aids in highlighting significant trends and disparities across datasets. Its application across business analytics aids in enhancing strategic decision-making by offering a comprehensive view of data interactions and distributions. This visualization technique is thus invaluable for detailed analysis and presentation in various professional contexts.编辑