Pie charts, column charts, stacked columns, line charts, scatter charts, how should I choose?

"With the development of the digital economy, data in various industries has experienced explosive growth. How to quickly extract effective information from massive data and maximize the value of data is a problem that all transforming enterprises are facing."

If you want to quickly and intuitively understand relevant data in a way that is easy to understand and simple in content, you need the help of data visualization. As a trend today, data visualization can present data more intuitively and clearly, helping people better interpret the meaning of data , It also allows business personnel and decision makers to understand business dynamics and market trends faster.

Facing different business situations, how to choose visual graphics? Below, we start with several common visual graphics such as pie charts, column charts, stacked columns, line charts, and scatter plots, and explain in detail which scenarios they are applicable to.

01 Pie chart (ring chart/rose chart)

Indicates the proportion of different categories, and compares various categories by sector size. Generally, the number of categories should not exceed 6.

[Applicable Scenarios]
(1) Proportion of minority categories: For example, the proportion of sales of products of different categories.

(2) The proportion of multiple but less than 6 categories: For example, the proportion of product sales in different sales markets (it is recommended to use a rose diagram when the difference between various values ​​is small).

02 column (bar) type chart

Use vertical or horizontal bars to show numerical comparisons between categories. One of the axes represents the category dimension to be compared, and the other axis represents the corresponding value.

[Applicable scenarios for column charts]
Applicable to enumerated data, such as the relationship between regions, the data does not necessarily have continuity.

[Applicable scenarios for bar graphs]
Bar graphs are more suitable for scenarios with more categories (easy to arrange text).

03 Stacked column (percentage)

The stacked histogram divides each column to show the size of each data of the same type. It can visually display the data of each small category contained in a large category, as well as the proportion of each small category, showing a single item relationship with the whole. Suggestions for use: X-axis categories do not exceed 12, and data fields mapped to colors do not exceed 6.

[Applicable Scenarios]
(1) Simultaneously compare the total size of different groups and the proportion of different categories in the same group. The figure shows the sales of different product categories in each region. Through the stacked column chart, you can clearly compare which region the same product category sells better.

Limitations: Not suitable for use when there are too many groups.

(2) Observe the proportion of categories. The figure below shows the sales volume of a company in different product categories in different years.

Limitations: Not suitable for use when there are too many groups.

04 line chart

It is used to display the change of one or more data in a continuous time interval or time span, which can reflect the trend of data change over time or ordered categories and the comparison between various data. It is similar to the area chart, but the area Graphs are more applicable to specific businesses. When using a line chart, the number of data records for a single line must be greater than 2, but there should not be more than 5 lines on the same chart.

[Applicable scenarios]
It is suitable for representing trends in time or continuous data.

05 Scatterplot

Also called an XY graph, it displays all the data in the form of points on a Cartesian coordinate system to show the degree of mutual influence between variables, and the position of the points is determined by the value of the variable.

[Applicable scenarios]
It is mainly suitable for viewing the distribution of business data.

Data visualization is to make data easier to compare and use it to tell stories to help users make decisions. The ultimate goal of visual analysis is to realize the empowerment of data to business, which not only requires visual tools to provide rich visualization effects, but also needs to bring business insight through data comparison. Tempo BI is such a data interface A self-service, enterprise-level big data analysis application platform that integrates input, preparation, and visual analysis.

01 Drag-and-drop operation, lowering the threshold for data analysis

Tempo BI completes the mapping from data to graphics in an extremely simple drag-and-drop manner, guiding users to intuitively operate and explore data.

02 Smart visual interaction, insight into data rules
Tempo BI provides a wealth of visual interactive exploration functions. By providing interactive operations such as drilling, linkage, zooming, filtering, box selection, and linking, it makes graphics active and helps users gain insights into data faster. law.

03 One-click generation of visualization scenarios
Tempo BI has built-in rich visualization templates for users to quickly apply, and one-click generation of cool BI visualization data analysis scenarios. There are also a variety of theme templates, color schemes, and background images to improve the efficiency of kanban design and visual effects.

04 Match numbers with pictures, what you see is what you get
Nearly 20 kinds of advanced graphics components, more than 10 kinds of auxiliary components, 3D graphics components, report tools and maps, etc., can fully reflect the business scene, so that the data information can be displayed more deeply and clearly .

05 Rich business analysis models, ready to use out of the box
More than 30 calculation functions such as year-on-year, ring-to-quarter, and cumulative calculations, forecasting, and clustering are configured, which truly realizes out-of-the-box use. Real-time processing of various algorithms can be realized with just a few clicks.

Tempo BI has been adhering to the design concept of "intelligence, interaction, and value-added" from the beginning of design, providing enterprises with BI integrated data analysis and application solutions. A variety of analysis calculation and interaction means, rich visual graphic components, flexible various business views, real-time, global and three-dimensional help users understand the actual business scenarios, realize the penetration management of enterprise operations, and provide support for enterprise business decision-making.