best practices for data visualization

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Putting Visualizations to Work Jake Garcia Geographer The Foundation Center New York, NY NTEN Webinar January 24, 2013

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Data visualization is a hot topic, but how can you put it to its best use? What are some the creative and effective ways organizations use data visualizations, both internally and externally?

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Page 1: Best Practices for Data Visualization

Putting Visualizations to Work

Jake GarciaGeographerThe Foundation CenterNew York, NY

NTEN WebinarJanuary 24, 2013

Page 2: Best Practices for Data Visualization

The Foundation Center

Leading source of information about philanthropy worldwide

• Information on more than 106,000 global foundations, corporate donors, and grantmaking public charities

• Database of 4.1 million grants

Page 3: Best Practices for Data Visualization

The Foundation Center

Aim to enhance grantmaker and nonprofit effectiveness through shared information and understanding

• Research reports and advisories on giving trends• Mapping tools• Custom, issue-based portals

- Economic crisis, U.S. education, funding after the Haiti earthquake

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Aggregated dataU.S. foundation assets increased across the board in 1997.

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Aggregated dataU.S. foundation assets decreased across the board in 2008

This is kinda compelling – but did it inform anyone, or help anybody make a decision?

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John Snow’s cholera map, London, 1854

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% change in stock prices,May 21 – June 14, 2012

FACEBOOK

APPLES&P 500

GOOGLE

yahoo.finance.com

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Results for philanthropy

Fundraising

Building awareness

Advocacy

Internal decision-making

Enabling collaborations

Analysis

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Question

Fundraising

Building awareness

Advocacy

Internal decision-making

Enabling collaborations

Analysis

What do you, or would you, use visualizations for?

Page 10: Best Practices for Data Visualization

It all starts with Open Data

In regard to U.S.-based philanthropy, our datasets originate from tax forms that foundations submit to the U.S. government.

The government, in turn, makes the completed forms available to the public.

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…but the data requires curation

Data extractionOccasionally requires optical character recognition (OCR)

Data coding • Internal subject taxonomy includes 1,100 codes.• Recipient type• Population codes• Location of recipients as well as location of projects

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This curation might require ~60,000 hours of labor* each year.

The Foundation Center employs over 120 people, around 30 of whom are exclusively dedicated to the gathering, cleaning, coding, entry, and analysis of data.

* this is a very rough estimate, based on a 2,000-hour work-year and assumes no fluctuation in job tasks and staffing levels

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Ideally, we’d have granular indicator data…(NYC census blocks, 2010)

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Demographic Analysis

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Demographic Analysis

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Internal decision-making, collaborations, analysis

Jake GarciaGeographerThe Foundation CenterNew York, NY

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2,809 foundation grants,$477.2 million(80% for Disaster Relief)

338 WB project locations,$326 million

(35% for Transportation)

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FC and World Bank dataNo Ag/Forestry project funding in Angola, 2001 to 2007

2003 2005 2007

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Foundation funding around the world

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Case studies

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Case studies

Q: Can we show the impact of all foundation-funded activity related to water, sanitation, and hygiene?

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Collaboration

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Collaboration

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Collaboration, decision-making

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Collaboration, decision-making

FC and OECD dataViewing funding details: Kenya

Grant records

OECD funding

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Financial benchmarking, decision-making

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Exploratory data analysis

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Exploratory data analysis

Which data set has a more completelisting of Chinese cities?

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Exploratory data analysis

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The meaning and message of the data is important, not just how awesome the visualization looks. *

-- is it accurate?

-- did it help sustain the author’s argument?

-- did it help you (or anyone else) make a decision?

* Although, it really helps if it looks awesome, too.

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Conclusions

In the process of attempting to assess the overall impact of foundation funding (still one of our long-term goals), we’ve begun to make progress in related areas:

•Helping create a more complete picture of philanthropic projects around the world. Mapping helps identify gaps and overlap in funding.

•Helping non-profits find foundations that might be interested in their work

•Enabling collaboration between donor institutions

•Inspiring better data standards, particularly the submission of better geographic and outcomes-related data from foundations, and participation in the IATI standard

Page 35: Best Practices for Data Visualization

…back to John Snow

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Thanks! Questions?

Jake GarciaGeographerThe Foundation CenterNew York, NY