jeffrey veen - designing our way through data
DESCRIPTION
The hype around Web 2.0 continues to increase to the point of absurdity. We hear all about a rich web of data, but what can we learn from these trends to actually apply to our designs? You’ll take a tour through the past, present, and future of the web to answer these questions and more: What can we learn from the rich history of data visualization to inform our designs today? How can we do amazing work while battle the constant constraints we find ourselves up against? How do we really incorporate users into our practice of user experience?TRANSCRIPT
- 1. veen: future
2. 1974 3. $100,000 per Gigabyte 4. Tools for Scale of participationdata 5. 4.35 3.17 3.06 1.37 0.19 0.11 0.03 0.05 0.20 1.22 2.86 3.09 5.35 4.03 3.77 2.51 1.84 1.59 0.85 1.22 1.94 3.25 5.65 6.00 1.53 1.36 2.69 3.64 3.32 3.78 3.66 4.22 3.82 2.41 2.92 2.47 3.17 3.02 3.59 3.90 3.80 3.65 3.80 3.41 3.30 2.88 3.65 3.42 2.01 2.08 2.39 2.85 6.21 9.33 5.70 7.58 7.63 5.64 2.66 1.83 4.35 3.17 3.06 1.37 0.19 0.11 0.03 0.05 0.20 1.22 2.86 3.09 5.35 4.03 3.77 2.51 1.84 1.59 0.85 1.22 1.94 3.25 5.65 6.00 1.53 1.36 2.69 3.64 3.32 3.78 3.66 4.22 3.82 2.41 2.92 2.47 3.17 3.02 3.59 3.90 3.80 3.65 3.80 3.41 3.30 2.88 3.65 3.42 2.01 2.08 2.39 2.85 6.21 9.33 5.70 7.58 7.63 5.64 2.66 1.83 4.35 3.17 3.06 1.37 0.19 0.11 0.03 0.05 0.20 1.22 2.86 3.09 5.35 4.03 3.77 2.51 1.84 1.59 0.85 1.22 1.94 3.25 5.65 6.00 1.53 1.36 2.69 3.64 3.32 3.78 3.66 4.22 3.82 2.41 2.92 2.47 3.17 3.02 3.59 3.90 3.80 3.65 3.80 3.41 3.30 2.88 3.65 3.42 2.01 2.08 2.39 2.85 6.21 9.33 5.70 7.58 7.63 5.64 2.66 1.83 6. 4.35 3.17 3.06 1.37 0.19 0.11 0.03 0.05 0.20 1.22 2.86 3.09 5.35 4.03 3.77 2.51 1.84 1.59 0.85 1.22 1.94 3.25 5.65 6.00 1.53 1.36 2.69 3.64 3.32 3.78 3.66 4.22 3.82 2.41 2.92 2.47 3.17 3.02 3.59 3.90 3.80 3.65 3.80 3.41 3.30 2.88 3.65 3.42 2.01 2.08 2.39 2.85 6.21 9.33 5.70 7.58 7.63 5.64 2.66 1.83 7. AVERAGE RAINFALL (INCHES/MONTH) JANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDEC San Fran 4.35 3.17 3.06 1.37 0.19 0.11 0.03 0.05 0.20 1.22 2.86 3.09 Seattle5.35 4.03 3.77 2.51 1.84 1.59 0.85 1.22 1.94 3.25 5.65 6.00 Chicago1.53 1.36 2.69 3.64 3.32 3.78 3.66 4.22 3.82 2.41 2.92 2.47 New York 3.17 3.02 3.59 3.90 3.80 3.65 3.80 3.41 3.30 2.88 3.65 3.42 Miami2.01 2.08 2.39 2.85 6.21 9.33 5.70 7.58 7.63 5.64 2.66 1.83 8. Average Rainfall (inches/month) JanFebMarAprMayJune July AugSepOctNovDec San Francisco 4.35 3.17 3.06 1.37 0.19 0.03 0.06 0.05 0.20 1.22 2.86 3.09 Seattle 5.35 4.03 3.77 2.51 1.84 1.59 0.85 1.22 1.94 3.25 5.65 6.00Chicago1.53 1.36 2.69 3.64 3.32 3.78 3.66 4.22 3.82 2.41 2.92 2.47New York 3.17 3.02 3.59 3.90 3.80 3.65 3.80 3.41 3.30 2.88 3.65 4.42 Miami 2.01 2.08 2.39 2.85 6.21 9.33 5.70 7.58 7.63 5.64 2.66 1.83 9. Average Rainfall (inches/month) JanFebMarAprMayJune July AugSepOctNovDec San Francisco 4.35 3.17 3.06 1.37 0.19 0.03 0.06 0.05 0.20 1.22 2.86 3.09 Seattle 5.35 4.03 3.77 2.51 1.84 1.59 0.85 1.22 1.94 3.25 5.65 6.00Chicago1.53 1.36 2.69 3.64 3.32 3.78 3.66 4.22 3.82 2.41 2.92 2.47New York 3.17 3.02 3.59 3.90 3.80 3.65 3.80 3.41 3.30 2.88 3.65 4.42 Miami 2.01 2.08 2.39 2.85 6.21 9.33 5.70 7.58 7.63 5.64 2.66 1.83 10. Average Rainfall (inches/month) 4+2-3 1-2