Creating Visualizations

Visualizations turn data into insights you can see. Querri makes it easy to create charts through natural language requests. This guide covers how to ask for charts, what types are available, and how to customize them.

Asking for Charts

The simplest way to create a visualization is to ask for it:

Basic Requests

• “Show me a bar chart of sales by region”
• “Create a line chart of revenue over time”
• “Make a scatter plot of price vs. quantity”
• “Display a pie chart of market share by product”

The AI will:

1. Understand what data you want to visualize
2. Select the appropriate chart type
3. Configure axes and labels
4. Generate the chart

From Existing Data

If you’ve already created a table in a previous step:

• “Turn that into a bar chart”
• “Visualize those results as a line chart”
• “Plot that data”

The AI knows which data you’re referring to based on context.

Specifying Details

You can be more specific about what you want:

• “Create a line chart with month on the x-axis and revenue on the y-axis”
• “Make a bar chart grouped by category, showing average price”
• “Plot revenue by month with separate lines for each region”

More details help ensure you get exactly the chart you need.

Available Chart Types

Querri supports a variety of visualization types:

Line Charts

Best for: Trends over time, continuous data

Examples:

• “Show monthly revenue as a line chart”
• “Plot daily active users over the past quarter”
• “Create a line chart of temperature readings”

Features:

• Single or multiple lines
• Time series or sequential data
• Clear trend identification

Bar Charts

Best for: Comparing values across categories

Examples:

• “Make a bar chart of sales by product category”
• “Show revenue by region as bars”
• “Create a horizontal bar chart of top 10 customers by spend”

Features:

• Vertical or horizontal orientation
• Grouped or stacked bars
• Clear category comparisons

Scatter Plots

Best for: Showing relationships between two variables

Examples:

• “Create a scatter plot of marketing spend vs. revenue”
• “Plot price against units sold”
• “Show the relationship between age and purchase frequency”

Features:

• Identify correlations
• Spot outliers
• See distribution patterns

Pie Charts

Best for: Showing proportions of a whole

Examples:

• “Make a pie chart of revenue share by product line”
• “Show market share as a pie chart”
• “Display customer distribution by region”

Features:

• Percentage breakdown
• Part-to-whole relationships
• Limited number of slices (works best with 5-7 categories)

Area Charts

Best for: Cumulative values over time, volume visualization

Examples:

• “Create an area chart of cumulative sales”
• “Show stacked area chart of revenue by product category over time”
• “Plot website traffic by source as an area chart”

Features:

• Filled areas under lines
• Stacked or overlapping
• Good for showing volume

Histograms

Best for: Distribution of values, frequency analysis

Examples:

• “Create a histogram of order values”
• “Show the distribution of customer ages”
• “Plot a histogram of transaction amounts”

Features:

• Frequency distributions
• Identify patterns in value ranges
• See data concentration

Heatmaps

Best for: Showing intensity across two dimensions

Examples:

• “Create a heatmap of sales by day of week and hour”
• “Show correlation matrix as a heatmap”
• “Visualize activity by time and location”

Features:

• Color-coded intensity
• Two-dimensional patterns
• Complex data simplified

Box Plots

Best for: Statistical distributions, comparing groups

Examples:

• “Create box plots of revenue by quarter”
• “Show distribution of prices across categories”
• “Compare sales performance by sales rep with box plots”

Features:

• Median, quartiles, and outliers
• Statistical summary
• Compare distributions

Customizing Visualizations

If the initial chart isn’t quite right, ask for modifications:

Changing Chart Type

• “Make that a line chart instead”
• “Convert that to a bar chart”
• “Show that as a scatter plot”

Adjusting Data

• “Only show the top 10 categories”
• “Filter to data from 2024”
• “Remove outliers before plotting”

Modifying Appearance

• “Sort bars by value descending”
• “Use different colors for each region”
• “Make the lines thicker”
• “Add labels to each data point”

Refining Axes

• “Put revenue on a logarithmic scale”
• “Start the y-axis at zero”
• “Rotate x-axis labels”
• “Show dates in MM/YYYY format”

The AI will update the chart based on your requests.

Multi-Series Charts

Create charts with multiple data series:

Multiple Lines

“Create a line chart with separate lines for each product category” “Plot revenue and profit over time on the same chart”

Grouped Bars

“Make a bar chart showing revenue and costs side by side for each month” “Compare 2023 and 2024 sales by quarter”

Stacked Charts

“Create a stacked bar chart of revenue by product over time” “Show a stacked area chart of traffic sources”

Multi-series charts make comparisons easy.

Working with Time Data

Time-based visualizations are particularly powerful:

Time Periods

• “Show daily totals for last month”
• “Aggregate by week”
• “Display yearly trends”

Date Ranges

• “Plot data from January to June”
• “Show the last 90 days”
• “Compare Q1 2023 vs Q1 2024”

Time Formatting

The AI automatically formats time axes appropriately based on your data granularity (days, months, years, etc.).

Saving Charts

Once you have a chart you like:

In the Project

Charts are automatically saved as part of your project steps. You can:

• Scroll back to view them anytime
• Reference them in conversation (“use the same data as in that earlier chart”)
• Share the entire project with the chart included

Exporting Images

Download charts for use elsewhere:

1. Look for an Export, Download, or Save button on the chart

2. Select image format:

   • PNG: Good for presentations and web use
   • JPEG: Smaller file size, good for photos
   • SVG: Vector format, scales perfectly (best for editing)
   • PDF: Good for printing and documents

3. Save to your computer

Screenshot

You can also take a screenshot:

• Use your operating system’s screenshot tool
• Capture the chart as displayed
• Quick and simple for informal sharing

Exporting Chart Images

Exported charts can be used in:

Presentations

• Import into PowerPoint, Keynote, or Google Slides
• Resize without quality loss (if exported as SVG)
• Annotate and present your findings

Reports

• Embed in Word documents or PDFs
• Include in dashboards
• Support written analysis

Sharing

• Email to colleagues
• Post in Slack or Teams
• Upload to shared drives

Publications

• High-resolution exports for printing
• Professional-quality graphics
• Branded materials

Best Practices for Effective Visualizations

Choose the Right Chart Type

Match the chart to your data and message:

• Trends over time: Line or area chart
• Category comparisons: Bar chart
• Relationships: Scatter plot
• Proportions: Pie chart
• Distributions: Histogram or box plot

Keep It Simple

• Don’t overload with too many series
• Limit pie charts to 5-7 slices
• Use clear, descriptive labels
• Remove unnecessary elements

Make It Readable

• Ensure text is large enough
• Use contrasting colors
• Include units on axes
• Add a descriptive title

Tell a Story

Good visualizations communicate clearly:

• What is the main message?
• What should the viewer notice?
• What action or insight follows?

If a chart doesn’t clearly communicate, refine it.

Common Visualization Patterns

Before/After Comparisons

“Show revenue in 2023 vs 2024 side by side as a grouped bar chart”

Trend Analysis

“Create a line chart of monthly sales with a trend line”

Top N Analysis

“Make a bar chart of top 10 products by revenue”

Correlation Discovery

“Plot marketing spend vs sales as a scatter plot to see if they correlate”

Distribution Analysis

“Show a histogram of customer order values to see the most common price points”

Part-to-Whole

“Create a pie chart showing what percentage each region contributes to total revenue”

Troubleshooting Visualizations

Chart Looks Cluttered

• Filter to fewer categories: “Only show top 5”
• Aggregate more: “Group by month instead of day”
• Split into multiple charts: “Make separate charts for each region”

Can’t See All Labels

• “Rotate x-axis labels 45 degrees”
• “Use shorter date format”
• “Abbreviate category names”

Wrong Data Displayed

• “Plot revenue not quantity on the y-axis”
• “Use total not average”
• “Show gross margin instead of revenue”

Scale Issues

• “Start y-axis at zero”
• “Use a logarithmic scale”
• “Set y-axis maximum to 100”

Just describe the problem, and the AI will fix it.

Example Visualization Workflow

Here’s a typical workflow for creating a visualization:

You: “Show me sales by month” AI creates table of monthly sales

You: “Make that a line chart” AI creates line chart

You: “Only show 2024” AI filters and updates chart

You: “Add a line for 2023 for comparison” AI adds second line

You: “Perfect, export that as PNG” Downloads chart image

This iterative refinement helps you create exactly the visualization you need.

Next Steps

• Review how to interpret results including charts
• Learn about project management to organize your visualizations
• Explore sharing options to collaborate on visual insights