Jeffrey Veen - Designing our way through data

veen: future

1974

$100,000 per Gigabyte

Tools for Scale of participation data

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

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

AVERAGE RAINFALL (INCHES/MONTH) JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC 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 Seattle 5.35 4.03 3.77 2.51 1.84 1.59 0.85 1.22 1.94 3.25 5.65 6.00 Chicago 1.53 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 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

Average Rainfall (inches/month) Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec 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 6.00 Chicago 1.53 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 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

Average Rainfall (inches/month) 4+ 2-3 1-2 <1 Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec San Francisco Seattle Chicago New York City Miami

Percentage of chart that looks like PacMan

John Snow

Charles Joseph Minard

\" The aim of my carte figurative is ... to convey promptly to the eye the relation not given quickly by numbers requiring mental calculation.\"

Don’t make me think

Harry Beck Harry Beck

Choose date: today | Last 7 days | Last 30 days

$2,000,353,186.72 in pennies

Megapenny.com

Chris Jordon

Two million plastic bottles used in the US every five minutes

“Statistics can feel abstract and anesthetizing, making it difficult to connect with and make meaning.” chrisjordon.com

Find a story in the data

Assign different visual cues to each dimension of the data

Remove everything that isn't telling the story

control

Average Rainfall (inches/month) Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec 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 6.00 Chicago 1.53 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 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

Average Rainfall (inches/month) Choose cities... Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec Seattle Chicago New York San Francisco Miami

Enable people to find their stories

Create tools to let them manipulate their data

Provide filters to enable clarity

Account Overview 2.0.0 Traffic 1.0.0 Visitor 3.0.0 Content Sources 4.0.0 Goals Overview Overview Overview # of Visitors new and Top Content % of Goals Completed retruning % visitors came 2.1.0 Direct Traffic N directly Overview Aver. Length of N # of visitors N Visit Goal Conversion? 4.1.0 Goal Total Direct Traﬁc N Pages/Visit N Aver. Depth of Visit N Total Completion 1.2.0 Total # of visitors that N New vs. Retruning Pageviews N came directly N Aver. Time on Page 4.2.0 Rev N Conversion % Goals S Direct Visitors Aver. N Total Value Funnel Visua Pageviews/ 1.1.0 Average PV/ % Bounce Visite visit T Top Content N Average Value Pageviews Pages/Visits # of visits new 1.3.0 New vs. Avg. Time on Site Uniq. Views N Abandoned Funnel and returning returning Pageviews % First Visit To Site 4.3.0 Funne Loyality 3.2.0 Average Time Ave. Time on Page % Goal 1 Recency 1.4.0 Loyalty % Exit Funnel Visua % Goal 2 $ Index Make \"Entranc Segmentation \"Exit\" numbers % Goal 3 3.1.0 Content 3.1.3 Site Overlay until asked for 1.5.0 Recency Detail Detail User Defined Keyword user. % Goal 4 Entrance & T Bounce Content Campaign # of Transactions Total Visitors for Uniq. Views Page Total Revenue Pageviews 3.3.0 Average Design Criteria N # of Visitors Bounce Rate # of Products Source Ave. Time Medium] Campaign Aver. Time on Page % Exit 2.2.0 Referring 2.2.1 Referring 3.4.1 Percent who Keyword Content % visitors came 2.2.2 Link Detail Aver. Bounce started N from other links Sources Source Detail $ Index % who started Country Region Visitors from Total Referral Traﬁc Visitors from Link City Network Source T Exit Traffic Source 3.1.1 All Navigation 3.1.2 Initial Location Navigation Initial Browser N # of sources N # of visitors N # of visitors Uniq. Views T Referring source T All Navigation T Navigation Language (came from) popularity ranking popularity ranking (Starting Page) N # of visitors N and % of visitors N and % of visitors Pageviews Visits Visits Visits Connection Platform Speed iff source has one link points to content T Referring sources referral: N page Ave. Time Goal/Visit Goal/Visit Goal/Visit Screen points to content % Exit Resolution Colors Source Domain Name N page S Visitors from this source T/Visit T/Visit T/Visit else: $ Index Java Visits % Bounce $/Visit $/Visit $/Visit Flash Source's Link T Referrals Bounce Rate Pages/Visits URL Pages/Visits Avg. Time on Site Visits Time on Site % First Visit To Site Bounce Rate First Visit To Site % Goal 1 Pages/Visits Overlay Goal 1 % Goal 2 Time on Site Goal 2 % Goal 3 First Visit To Site Goal 3 % Goal 4 Goal 1 Goal 4 # of Transactions Goal 2 Transactions Total Revenue Goal 3 Revenue # of Products Goal 4 link to geo map for this segment Transactions link to language list for this segment Revenue Visitors from this S source % Bounce Pages/Visits Avg. Time on Site % First Visit To Site % Goal 1 % Goal 2 % Goal 3 % Goal 4 # of Transactions Total Revenue # of Products link to geo map for this segment link to language list for this segment

Storytelling Discovery Visual cues Interactivity Editing Filtering

Tools for Scale of participation data

weathr BETA Average Rainfall (inches/month) Choose cities... Jan Feb Mar Apr May June July Aug Sep Oct Nov Dec Seattle Chicago New York San Francisco Miami

“Everything I’ve built has come from the frustration that it didn’t yet exist.”

“New ideas come from your heart, not your wallet”

“When you start looking at a problem and it seems really simple with all these simple solutions, you don’t really understand the complexity of the problem. And your solutions are way too oversimplified, and they don’t work.”

“…Then you get into the problem, and you see it’s really comp- licated. And you come up with all these convoluted solutions. That’s sort of the middle, and that’s where most people stop, and the solutions tend to work for a while…”

“…But the really great person will keep on going and find the key, underlying principle of the problem, and come up with a beautiful elegant solution that works.” —Steve Jobs

Gotham

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Jeffrey Veen - Designing our way through data

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