Chart Components Overview
Datafor offers a rich set of visualization components to help users display and analyze data intuitively. Below is a brief introduction to the common visualization components in Datafor. Each component has its unique features and use cases, with detailed pages providing more specific information.
1. Pivot Table
The Pivot Table is used to display data in rows and columns. It allows for grouping, cross-referencing, and summarizing data, and enables user interactions such as sorting and filtering.
2. Table
The Table component displays data in a standard row and column format, suitable for presenting detailed information. Users can sort and filter the data within the table.
3. KPI Card
KPI Cards are used to show key performance indicators and compare them against target values. They provide a concise way to monitor critical business metrics.
4. Dimension Field Information
This component displays the dimension fields in a dataset and their related information.
5. Clustered Column
The Clustered Column Chart presents data using adjacent vertical bars, ideal for comparing different categories.
6. Stacked Column
The Stacked Column Chart shows the total value of data and its components through stacked bars, highlighting the contribution of each series.
7. 100% Stacked Column
The 100% Stacked Column Chart displays the percentage of each data series relative to the total, rather than the absolute values, suitable for showing proportional relationships.
8. Clustered Bar
The Clustered Bar Chart is similar to the Clustered Column Chart but uses horizontal bars. It's useful for comparing data when there are many categories.
9. Stacked Bar
The Stacked Bar Chart displays the total value of data and its components through horizontally stacked bars, showing the contribution of each series.
10. 100% Stacked Bar
The 100% Stacked Bar Chart shows the percentage of each data series relative to the total using horizontally stacked bars, ideal for illustrating proportions.
11. Line Chart
The Line Chart displays data trends and changes over time using a series of connected points and lines, suitable for time series data.
12. Column Line
The Column Line Chart combines a column chart and a line chart, showing both total values and trends.
13. Pie Chart
The Pie Chart illustrates the composition and proportion of data through a circular division, highlighting the contribution of different categories.
14. Scatter Plot
The Scatter Plot shows the relationship between two numerical variables using dispersed points, indicating the distribution and trend of data.
15. Sunburst
The Sunburst Chart represents data hierarchies through concentric rings, ideal for visualizing multi-level categorical data.
16. Gauge
The Gauge displays a single metric and its comparison against a target value, similar to the dials on a car dashboard.
17. Sankey
The Sankey Diagram shows data flow and distribution through the width and direction of flow lines, representing relationships between categories.
18. Parent-Child Tree Table
The Parent-Child Tree Table displays hierarchical relationships in data using a tree structure to show parent-child relationships.
19. Hierarchical Tree Table
The Hierarchical Tree Table represents data's hierarchical structure and classification through a tree structure, illustrating layers and relationships.