We’re here to help your data help you.
Data visualization transforms complex information into clear, impactful stories that drive awareness, engagement, and action. By presenting insights in an accessible way, you can better communicate your mission, showcase your impact, and inspire stakeholders—from donors to policymakers—to support your cause. Whether highlighting achievements, uncovering trends, or advocating for change, compelling visualizations turn your data into a powerful tool for social good.
If you're a nonprofit or charitable organization with a dataset that needs visualizing, you're in the right place!
We’re looking for mission-driven nonprofits to collaborate with on future Viz for Social Good projects.
Does this sound like you?
✔ You have open data to share
✔ Your mission aligns with our values—especially those connected to the UN Sustainable Development Goals (SDGs)
✔ You could benefit from compelling data visualizations to showcase your impact
If so, we’d love to hear from you!
Simply submit the form from the “Apply to launch a Project” button below with details about your needs and we’ll get back to you as soon as we can.
Data Requirements for Public Data Visualisation Projects
Types of Data You Can Share:
Aggregated or Non Aggregated Data:
Summary statistics (e.g., total beneficiaries, percentage of impact, annual growth rates).
Trends over time (e.g., number of services delivered per month/year).
Anonymized Data:
Data that has been stripped of personally identifiable information (e.g., case study numbers instead of names).
Location data should be at a general level (e.g., city or region rather than specific addresses).
Publicly Available Data:
Any data already published on your website, reports, or open data platforms.
Government or third-party open datasets relevant to your work.
Categorical Data:
Information grouped into categories (e.g., types of services, demographic breakdowns like age groups, not individual records).
Data We Cannot Accept:
Personally identifiable information (PII) (e.g., names, emails, phone numbers, addresses).
Confidential or sensitive data that could harm individuals or communities.
Financial or medical records linked to individuals.
Any dataset restricted by privacy laws or internal policies.
Best Practices for Data Submission:
Ensure the data is clean and well-structured (e.g., in CSV, Excel, or Google Sheets format).
Provide a brief data dictionary or explanation of column names and values.
If in doubt about data privacy, consult your internal policies before sharing.
By sharing the right type of data, you help us create meaningful and responsible visualizations that amplify your impact while protecting privacy.
Gena Falzon project for Noise Solution
“The attention to detail was amazing... I would quite happily take this into a meeting with a head of Social Services or whoever else we talk to as Commissioners, knowing it would absolutely blow their minds.”
