This tutorial provides a step-by-step guide to visualizing your emissions data using Carbon GPT's data visualization tools, helping you gain insights and communicate your carbon footprint effectively.
Prerequisites
- Completed Getting Started tutorial
- Basic understanding of carbon accounting concepts
- Emissions data already entered into the system
- Familiarity with Analyzing Data (recommended)
Tutorial Overview
In this tutorial, you will learn how to:
- Access Carbon GPT's visualization tools
- Create different types of charts and graphs
- Customize visualizations for specific needs
- Interpret visual data representations
- Share and export visualizations
Step 1: Accessing Visualization Tools
Finding the Visualization Features
- Log in to your Carbon GPT account
- Navigate to Analytics > Visualizations
- Alternatively, access visualization options from the Dashboard by clicking Create Visualization
Understanding the Visualization Interface
The main components of the visualization interface include:
- Chart Selection Panel: Choose from various chart types
- Data Selection Area: Select the data to visualize
- Configuration Panel: Customize chart appearance and behavior
- Preview Area: See how your visualization will look
- Toolbar: Access additional options and actions
Step 2: Creating Basic Charts
Emissions by Source Pie Chart
- In the Chart Selection Panel, choose Pie Chart
- In Data Selection, select:
- Data Type: Emissions
- Grouping: By Source
- Time Period: Select your desired period (e.g., current year)
- Click Generate Chart
- Review the pie chart showing the proportion of emissions from different sources
Emissions Trend Line Chart
- Select Line Chart from the Chart Selection Panel
- In Data Selection, choose:
- Data Type: Emissions
- Y-Axis: Total Emissions (tCO2e)
- X-Axis: Time (Month/Quarter/Year)
- Time Range: Select your desired range
- Click Generate Chart
- Examine the trend line showing emissions over time
Emissions by Facility Bar Chart
- Select Bar Chart from the Chart Selection Panel
- In Data Selection, configure:
- Data Type: Emissions
- Grouping: By Facility
- Sort Order: Highest to Lowest
- Limit: Top 10 (or as needed)
- Click Generate Chart
- Review the bar chart comparing emissions across facilities
Step 3: Advanced Visualization Techniques
Multi-Series Comparison Charts
To compare emissions across different dimensions:
- Select Combo Chart from the Chart Selection Panel
- In Data Selection, configure:
- Primary Y-Axis: Emissions (tCO2e)
- Secondary Y-Axis: Intensity Metric (e.g., tCO2e per revenue)
- X-Axis: Time Period
- Series: Select multiple categories to compare
- Click Generate Chart
- Analyze the chart showing multiple data series for comparison
Heat Maps for Emissions Intensity
To visualize emissions intensity across your organization:
- Select Heat Map from the Chart Selection Panel
- Configure the heat map:
- Data Type: Emissions Intensity
- Rows: Facilities/Departments
- Columns: Time Periods
- Color Scale: Select appropriate scale
- Click Generate Chart
- Interpret the heat map showing emissions intensity patterns
Sankey Diagrams for Emissions Flow
To visualize the flow of emissions through your organization:
- Select Sankey Diagram from the Chart Selection Panel
- Configure the diagram:
- Source Nodes: Emission Sources
- Target Nodes: Scopes/Categories
- Values: Emission Quantities
- Click Generate Chart
- Examine the Sankey diagram showing emissions flow
Step 4: Customizing Visualizations
Chart Appearance Customization
- With your chart displayed, click Customize Appearance
- Adjust visual elements:
- Colors: Change the color scheme
- Labels: Modify text labels and annotations
- Legend: Configure legend position and format
- Axes: Adjust scales, titles, and gridlines
- Title: Add a descriptive title and subtitle
Interactive Elements
Add interactive features to your visualizations:
- Click Add Interactivity
- Select from options:
- Tooltips: Configure hover information
- Drill-Down: Enable clicking for more detailed views
- Filters: Add interactive filtering options
- Animations: Add transitions between data views
Context and Annotations
Add context to your visualizations:
- Click Add Annotations
- Select from options:
- Trend Lines: Add regression or moving average lines
- Benchmarks: Add industry average or target lines
- Events: Mark significant events or milestones
- Notes: Add explanatory text boxes
Step 5: Creating Dashboard Visualizations
Adding Charts to Dashboards
- Navigate to Dashboard > Customize
- Click Add Widget
- Select Visualization Widget
- Choose from:
- Existing Visualization: Select a saved chart
- New Visualization: Create a new chart
- Configure widget size and position
- Click Save Dashboard
Creating Multi-Chart Dashboards
For comprehensive visual analysis:
- Add multiple visualization widgets to your dashboard
- Arrange them in a logical layout
- Consider creating themed sections:
- Overview: Summary charts of total emissions
- Trends: Time-series visualizations
- Comparisons: Charts comparing different aspects
- Details: More specific breakdowns
Interactive Dashboards
Create dashboards with linked visualizations:
- Click Dashboard Settings
- Enable Interactive Mode
- Configure Cross-Filtering:
- Select which charts should filter others
- Define filter relationships
- Test the interactive features
Step 6: Sharing and Exporting Visualizations
Exporting Individual Charts
- With your chart displayed, click Export
- Choose your preferred format:
- Image: PNG, JPG for simple sharing
- PDF: For high-quality documents
- SVG: For scalable vector graphics
- Interactive HTML: For web embedding
- Configure export settings
- Click Download
Sharing Visualizations
Share your visualizations with stakeholders:
- Click Share on any visualization
- Choose sharing method:
- Email: Send directly to recipients
- Link: Generate shareable link
- Embed: Get code to embed in websites
- Schedule: Set up recurring delivery
Incorporating into Reports
Add visualizations to Carbon GPT reports:
- Navigate to Reports > Create Report
- In the report editor, click Insert Visualization
- Select from your saved visualizations
- Adjust size and positioning
- Add context and explanatory text
Best Practices
Effective Data Visualization
- Simplicity: Focus on the key message, avoid clutter
- Appropriate Chart Types: Use the right chart for your data type
- Consistent Scales: Use consistent scales for fair comparisons
- Color Usage: Use color purposefully and consistently
- Context: Always provide necessary context for interpretation
Telling the Emissions Story
- Structure visualizations to tell a coherent story
- Start with the big picture, then drill down to details
- Highlight key insights and anomalies
- Include benchmarks and targets for context
- Consider your audience's familiarity with the data
Avoiding Common Pitfalls
- Beware of misleading scales and truncated axes
- Avoid 3D charts that can distort perception
- Don't overload charts with too many data series
- Ensure color choices are accessible to all users
- Test visualizations with actual users for clarity
Next Steps
- Generating Reports - Incorporate visualizations into comprehensive reports
- Using the AI Assistant - Get AI-powered insights on your visualized data
- Disclosure Reporting - Use visualizations for external reporting