- The catalog of available chart types to represent your data visually.
- Options for switchable encodings that allow you to adjust axis assignments, filters, and aggregations.
- Built-in interaction options to customize queries and validate results.
- Key accessibility features designed to make Stories approachable for all users.
Chart Catalog
WisdomAI’s Stories support a variety of chart types to effectively represent data insights. Users can select the desired chart type through a dropdown menu in the Editor tab.
Available Chart Types
| Chart Type | Feature |
|---|---|
| Table | Displays raw data in a structured format, ideal for precise values and detailed comparisons. |
| Pie Chart | Best for showing proportions within a whole, where each slice represents a percentage of the total. (Consider using for 5-7 slices maximum.) |
| Funnel Chart | Illustrates how values progress through different stages of a sequential process, often used to visualize conversion or attrition rates. |
| Bar Chart | Useful for comparing quantities across discrete categories, with the length of the bars representing the values. |
| Bar Chart (stacked) | Displays multiple data series in a single bar, where segments within the bar show the contribution of each part to the whole. Useful for comparing sub-categories and their cumulative totals. |
| Bar Chart (100% stacked) | Similar to a stacked bar chart, but each bar represents 100% of a category, with segments showing the percentage contribution of subcategories. Ideal for showing part-to-whole relationships and how proportions change over time. (Be cautious as overall totals are not explicitly shown.) |
| Column Chart | Visually represents numerical values using vertical columns. Ideal for comparing discrete categories, often with the height of the column corresponding to the value. |
| Column Chart (stacked) | Presents multiple data series as vertical bars, with segments stacked to show their cumulative sum. Aids in comparisons between categories over time or across different groups. |
| Column Chart (100% stacked) | Compares multiple measures by stacking bars vertically, where each segment represents the percentage of the overall category total. Useful for showing the distribution of components within a whole at a specific point in time or across time. |
| Area Chart (stacked) | Shows data as an area under a line that connects data points, with multiple series stacked on top of each other. Useful for displaying the contribution of different components to a whole while showing overall patterns and cumulative trends over time. |
| Area Chart | Visualizes quantitative data and shows how values changes over a period of time, with the area between the line and the baseline filled with color. Ideal for emphasizing trends and the magnitude of change. |
| Line Chart | Ideal for displaying trends over time or across continuous measurements, showing how data changes and identifying patterns. (Excellent for time-series data.) |
| Map | Transforms geographic data into visual insights by displaying information across different regions, countries, or territories. Useful for visualizing spatial patterns and distributions. |
Switchable Encodings
Within the Editor tab, users can customize data encodings to refine their visualizations, for example:- Axis Assignment – Drag and drop data columns to assign them to the X and Y axes
(e.g., “Region” on X-axis, “Total Revenue SUM” on Y-axis). - Data Filtering – Apply filters to focus on specific data subsets
(e.g., “Stage Label: Closed Won”). - Aggregation Functions – Use SUM, AVG, etc., to aggregate numerical data as needed.
Interaction Options
WisdomAI provides interactive elements to enhance user engagement and data exploration:- Editable SQL – Modify the generated SQL queries in the SQL tab to correct or fine-tune results.
- Feedback Mechanism – Give a thumbs up or down to improve future AI responses.
- Review & Validation – Mark queries as reviewed to confirm accuracy in team workflows.
Accessibility Notes
WisdomAI emphasizes accessibility to ensure a wide range of users can effectively engage with Stories:- Natural Language Interface – Ask questions using plain English to generate data queries.
- Visual Configuration Tools – Use drag-and-drop components in the Widget Editor to configure visuals without writing code.
- Collaborative Integrations – Access insights directly from platforms like Slack or Teams, supporting seamless workflows.