Component Introduction

Used to display a large amount of structured detail data, and perform operations such as filtering and sorting.

For example, display detailed data such as salary, age, and gender for each employee in the company.

Pivot Table

Used for multidimensional data analysis and display, can perform operations such as pivot, slice, and drill-down.

For example, analyze the changes in company sales with dimensions such as time, product, and region.

Dimension, Dimension, Metric, Filters

Line Chart

Used to show the trend changes of time series data, and can display multiple data lines together,

for example, showing the change trend of sales revenue of a company in recent years with time.

Horizontal axis, vertical axis, data points, lines

Stacked Area Chart

Used to show the change trends of multiple category data with time or other continuous variables, and compare the proportion relationship between various category data,

For example, displaying the proportion relationship of each product line's sales in total sales and comparing the changes in sales of each product line over time.

Horizontal axis, vertical axis, area color, data points, connecting lines

Area Chart

Used to display the cumulative change in the total quantity of multiple category data over time and compare the differences between the different category data.

For example, displaying the cumulative revenue of various departments of the company and comparing the differences between the departments.

Horizontal axis, vertical axis, stacked area color, data points, connecting lines

Bar Chart

Suitable for comparing the quantity between different category variables.

For example, displaying the sales of different products.

Horizontal axis, vertical axis, bars

Stacked Bar Chart

Used to display the proportion relationship of multiple category data in the total quantity and compare the differences between the different category data.

For example, display the proportion relationship of each product line's sales to the total sales, and compare the differences in sales between each product line.

X-axis, Y-axis, bars, colors

Stacked Bar Chart (%)

Used to display the proportion relationship of multiple categories of data to the total quantity, presented in percentage form, and compare the differences between each category data. For example, display the proportion relationship of each department's human resources to the total human resources of a company, and compare the allocation of human resources among various departments.

For example, it shows the proportion of all departments in the total human resources of a company, and compares the human resources allocation among all departments.

X-axis, Y-axis, bars, colors, percentage markers

Line and column combination diagram

Suitable for showing the quantity and trend changes of different categorical variables,

For example, it shows the sales and profit trends of a company's different product lines.

Horizontal axis, vertical axis, column, line, data point, color

Ring graph

It is suitable for displaying the proportion relationship of different categorical variables. Compared with pie chart, it is more suitable for displaying multiple categorical variables, usually displaying no more than 6 categories.

For example, show the proportion of a company's different product lines in total sales.

Circle, sector, percentage mark, color

Pie Chart

Proportional relationship for displaying a single categorical variable, usually showing no more than six categories,

such as the proportion of sales in different regions of a company to total sales.

Circle, sector, percentage mark, color

Funnel Chart

Used to show the loss of data at various stages, and compare the differences between each stage,

such as displaying the data loss at stages of user registration, orders, payments, completion of orders, etc. on an e-commerce platform.

Funnel shape, stage names, stage values

Word Cloud Chart

Used to display keywords in text data, usually used in text analysis or brand marketing scenarios,

such as displaying keywords mentioned by users about a brand on social media to evaluate brand reputation.

It is used to display the changes of a single indicator or multiple indicators, and is usually used in the monitoring and control scenario of target progress.

For example, showing the efficiency metrics of a factory's production line, including yield rate, defect rate, downtime rate, etc., for monitoring and optimizing production efficiency.

Used for displaying the status and changes of a single indicator, usually for monitoring key data of business indicators,

For example, showing the changes in sales, profits, customer satisfaction, etc., of a company's indicators.

Applicable for data that needs to be displayed and analyzed in relation to time, and requires time range filtering and comparison.

For example, companies need to analyze sales data for a specific month and can use a time filter to select different time periods for comparison.

Suitable for scenarios where filtering and comparison are based on specific text information.

For example, companies need to analyze the sales of a product in different markets, and a text filter can be used to filter based on market names or keywords.

Suitable for scenarios where explaining and interpreting charts and drawing relevant conclusions are required.

For example, financial reports need to explain the specific content and calculation methods of certain expenses. A text description component can be used to add a detailed explanation of the expense in the report, improving readability and understanding of the report.