Use tools for data visualization

These tools are essential for turning complex datasets into clear, actionable visual information.

1. Text to table

What it is: The Text to table tool converts unstructured text into a structured table format.

What it’s for: When you need to organize text-based data into a clear, tabular structure.

Example: “Extract a table of product launches and dates from these press releases.”

Key features:

• Converts raw, unstructured text into structured tables

• Requires defining columns and data types

• Ideal for extracting comparable data points from original sources

• Must be used on unstructured, not already summarized text

2. Line graph

What it is: The Line graph tool creates a line chart to visualize trends over time or continuous relationships.

What it’s for: When you want to track performance or changes over a specific time period.

Example: “Show me a graph of Apple's stock price over the past year.”

Key features:

• Best for time series data or continuous relationships

• Useful for tracking stock prices, performance metrics, etc.

• Requires a minimum of 7-14 data points for meaningful trends

• Requires properly structured table data as input

3. Pie graph

What it is: The Pie graph tool creates a pie chart to visualize proportions of a whole.

What it’s for: When you need to show how parts contribute to an overall total.

Example: “Show the sector breakdown of my portfolio as a pie chart.”

Key features:

• Ideal for showing proportions or percentages of a total

• Best suited for portfolio allocations, market share, etc.

• Works well with a single dimension of categorical data

• Not suitable for time series or multi-period data

4. Bar graph

What it is: The Bar graph tool creates a bar chart to compare discrete categories.

What it’s for: When you need to compare data points across different categories or groups.

Example: “Create a bar chart showing revenue by product category.”

Key features:

• Great for comparing discrete categories or performance across groups

• Useful for ranking, product performance, and multi-dimensional comparisons

• Works best with categorical data in distinct buckets

• Not ideal for visualizing time series data

5. Generic graph

What it is: The Generic graph tool creates an automatically determined chart type based on the data.

What it’s for: When you want to visualize data but aren’t sure which chart type would work best.

Example: “Visualize this data about market performance by sector.”

Key features:

• Automatically selects the most appropriate chart type based on the data

• Perfect for when you’re unsure of which visualization to choose

• Analyzes the structure of the data to determine the best chart format

• Requires properly structured table input for optimal results