This resource is designed to provide the foundations necessary for understanding and extending the current state of the art in data visualization. Gain an understanding of key visualization techniques and theory, including data models, graphical perception, and methods for visual encoding and interaction; exposure to a number of common data domains and corresponding analysis tasks, including multivariate data, geospatial data, and networks; and practical experience building and evaluating visualization applications.

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Data can be a powerful tool, particularly in the social sector, with unique opportunities and challenges alike. By being more strategic in how we engage with data, we have an opportunity to advance our missions, increase impact, and promote equitable outcomes. This course was designed with and for social sector organizations seeking to build capacity in these areas.

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Visual designers can use this data visualization style guide to create a uniform look and feel for all charts and graphs. This resource contains guidelines aligning with best practices and proven design principles for data visualization. It also provides a tool to help make design and color decisions when creating charts.

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For years, the data visualization field has been largely inaccessible to people who have difficulties processing visual content; and when researchers and practitioners have focused their efforts on creating accessible content, they have almost exclusively addressed issues around color. Less attention is paid to people with other forms of vision impairments, including blurriness, contrast sensitivity, and blindness. This report explores why and how to create accessible data content, and shares how organizations can incorporate accessibility throughout their process, how to write effective alternative (alt) text, and how to implement accessible content on the web.  

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The ability to use visual imagery to narrate a powerful story and to provide actionable insights is both an art and a science. There may be situations where stakeholders are on the fence when it comes to opting for a customized visualization. This is when they should be shown the tangible benefits—and where rapid prototyping can be best used.

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By approaching stories with empathy, researchers can build relationships and trust with the communities of focus and create more accurate and impactful visualizations and research. But applying empathy to data analysis and data visualization requires that researchers consider how the communities whose data are being used and the target audiences will perceive the work.

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This resource is aimed at project professionals or senior leaders of project-based organizations who wish to improve project delivery on a specific project or across their organization, such as CEOs, CTOs, Project Management leads, project/program managers, and also business intelligence directors, directors of education and heads of talent. This guide will also be of interest to the new roles that are emerging such as head of digital, data leader, and head of data.

This resource will help users understand opportunities for improvement made possible through project data analytics and how to get started. This includes tactical activities to generate momentum and strategic activities to maximize potential. It will also help users avoid pitfalls, reinventing wheels, or racking up unnecessary costs from advisors or solution providers.

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Nonprofits increasingly recognize the value of data. It can help guide decisions, provide greater insight into your impact, and help make your organization more effective and efficient. Along an organization’s data maturity there comes a point when organizations start considering investing in artificial intelligence. For many though, it can feel like a minefield of acronyms, vaporware, and tools. This guide will help you understand what artificial intelligence (AI) is, how it is being applied in nonprofit settings, and where you might consider getting started.

In this Guide

• Defining artificial intelligence (AI)
• Examples of nonprofits using (AI)
• How to get started with machine learning (ML)

Conclusion

Artificial intelligence and machine learning are powerful tools for making the most of your data. They can help automate processes, improve your impact, and drive greater insight into operational effectiveness and overall impact. The tools to leverage the power of machine learning have never been more accessible, and more organizations than ever are finding ways to use machine learning to further their mission.

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Increasing numbers of nonprofits are utilizing data visualization to present results, successes, and accomplishments to their donors and investors. Nonprofit data visualization can effectively impact and motivate an audience, change minds, and spark action. This resource provides an introduction to data visualization, including best practices, use cases, and types of visualizations to enhance data storytelling.

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Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram, or map.

The field of data visualization combines both art and data science. While data visualization can be creative and pleasing to look at, it should also be functional in its visual communication of the data.

This resource explains the fundamentals of data visualization, including examples of different types of data visualizations and when and how to use them to illustrate findings and insights.

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The way people communicate and digest information has changed significantly in recent years, and data visualization provides an opportunity to share information in more than one modality. With the sheer quantity of data collected in humanitarian settings, there is greater opportunity to disseminate information by providing visual guides to reveal key insights. This resource provides guidance on general design principles, recommended styles, links to download design assets, and best practices to create clear, useful data visualizations.

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Data visualizations are arguably the most effective way to translate large amounts of information into bite-sized pieces that are easy for a broader audience to digest. Just as cooking combines various ingredients to create a memorable experience through a particular meal, data visualization can bring together many different pieces of information into a central — and memorable — format. This resource provides guidance on how nonprofits can create data visualizations to demonstrate their impact.

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