Nebraska Voting Demographics via US Census Bureau

This is data released by the US Census Bureau this past February 29.

The sources listed: Vintage 2014 Population Estimates, 2014 American Community Survey.

(click for larger image)

This is the data generated for the 2nd Congressional District via the US Census widget: "My Congressional District."

Congressional District 2, Nebraska

Source: 2014 American Community Survey 1-Year Estimates

Sex and Age	Estimate
Total population	641,045
Male	317,870
Female	323,175
Under 5 years	48,969
5 to 9 years	49,310
10 to 14 years	44,508
15 to 19 years	42,867
20 to 24 years	41,482
25 to 34 years	102,083
35 to 44 years	84,080
45 to 54 years	82,844
55 to 59 years	39,559
60 to 64 years	33,684
65 to 74 years	40,721
75 to 84 years	19,472
85 years and over	11,466
Median age (years)	34.0
18 years and over	471,786
65 years and over	71,659
Race	Estimate
Total population	641,045
One race	622,942
White	525,423
Black or African American	62,753
American Indian and Alaska Native	5,013
Asian	18,834
Native Hawaiian and Other Pacific Islander	548
Some other race	10,371
Two or more races	18,103
Hispanic or Latino Origin by Type	Estimate
Total population	641,045
Hispanic or Latino (of any race)	70,608
Mexican	56,030
Puerto Rican	1,331
Cuban	1,191
Other Hispanic or Latino	12,056
Not Hispanic or Latino	570,437
Place of Birth	Estimate
Total population	641,045
Native	588,251
Born in the United States	581,366
State of residence	386,470
Different state	194,896
Born in Puerto Rico, U.S. Island areas, or born abroad to American parent(s)	6,885
Foreign born	52,794
Ancestry	Estimate
Total population	641,045
American	22,715
Arab	2,617
Czech	24,542
Danish	12,021
Dutch	11,789
English	39,689
French (except Basque)	15,470
French Canadian	2,198
German	185,141
Greek	1,395
Hungarian	1,532
Irish	101,249
Italian	31,277
Lithuanian	2,868
Norwegian	13,396
Polish	27,647
Portuguese	559
Russian	4,913
Scotch-Irish	3,514
Scottish	6,738
Slovak	414
Subsaharan African	7,724
Swedish	23,085
Swiss	2,004
Ukrainian	960
Welsh	2,984
West Indian (excluding Hispanic origin groups)	879
Veteran Status	Estimate
Civilian population 18 years and over	470,439
Civilian veterans	39,466
Disability Status of the Civilian Non-Institutionalized Population	Estimate
Total civilian non-institutionalized population	633,476
With a disability	62,628
Under 18 years	168,496
With a disability	5,759
18 to 64 years	395,875
With a disability	33,752
65 years and over	69,105
With a disability	23,117
Residence 1 Year Ago	Estimate
Population one year and over	630,586
Same house	519,867
Different house in the U.S.	106,765
Same county	73,327
Different county	33,438
Same state	17,776
Different state	15,662
Abroad	3,954
Source: 2014 American Community Survey 1-Year Estimates
Estimates in the People, Workers, Housing, Socioeconomic, and Education tabs are from the American Community Survey (ACS). The ACS is an annual household survey developed by the U.S. Census Bureau to replace the long form of the decennial census program. Each year, the ACS samples about 3.5 million household addresses to produce nearly 11 billion estimates covering demographic, social, economic, and housing characteristics.
Except where noted, 'race' refers to people reporting only one race. 'Hispanic' refers to an ethnic category; Hispanics may be of any race.

Husker Football Spring Red/White Game

First attempt at a Tableau data viz project. Will have to work on editing the annotations, so any input would be much appreciated. Click on the image to enlarge.

Thoughts on "The Third Wave" by Steve Case

The Third Wave: an entrepreneur's vision of the future is a new book by Steve Case, scheduled for release on April 5, 2016.

I tried to get an idea what topics would be discussed in this book with a Web search, but only came up with this article from Fortune entitled The Co-Founder of AOL Forecasts the Future of Tech (A version of this article appears in the April 1, 2016 issue of Fortune with the headline Steve Case Wants Tech to Love the Government). The interviewer's question:

The sectors you say are ripe for disruption—food, hospitals, transportation, education, financial services—are pretty ­fundamental. You’re ­talking about a huge shift in the way we live in the near future.

Case goes on to say that the Internet will become more a part of our lives. I would guess this is referencing IoT with applications to wearables, nearables and the whole quantified self movement toward behavioral change to a more healthy lifestyle. He cites the need for partnerships in this effort:

For example, if you really want to revolutionize health care, it’s not just about the app; it’s also about partnering with doctors and hospitals.

I would say that the healthcare sector has traditionally been reluctant to introduce broad-based tech initiatives. What reigns are proprietary solutions in the form of data silos that can ensure monetization. I think this will be the hardest prediction to see fruition.

Case cites the need to partner with Government:

Policy will also become a bigger deal because these are regulated businesses. In many cases, actually, the government is the largest customer, so a strategy of ­ignoring government—which is pretty common now—won’t work.

This is probably most likely to occur if it hasn't already with the various open data, social entrepreneurship programs enacted by the Obama administration such as The Opportunity Project.

My own impression is that we are beginning to appreciate the beginnings of what I consider Web 3.0.

The Rise of 2-Pizza Teams (increasing signal over noise)

Just to look back, Web 1.0 was about the dot com era with clicks or eyeballs being the main focus. This bubble burst, and Web 2.0 arrived with the advent of social media where content was considered king, especially when it could be generated free of charge thanks to user-generated media. Unfortunately, as more folks became involved, it became more about attracting attention, so that trolls with exaggerated rants and opinions became the noise that tends to quash any serious discussion.

Web 3.0 will bring about the acceptance of small groups of individuals, some say 2-pizza teams, Seth Godin calls tribes, who are dedicated to solving specific problems with domain knowledge matched with data science tools and methods.

Beyond this I don't want to make predictions. Social media is embracing more push than pull these days as we see the effort to eliminate chronological timelines in Twitter and Instagram, in order to support advertising.

What becomes of Facebook and Twitter? It might be the tribes that survive the nuclear meltdown.

Social entrepreneurship & open data: hot links

What I think are the most informative links for these topics:


B Corps: The 21st Century Standard for Business

University of Ghana advances to finals of $1million Hult prize competition

It Will Take a Village To Cut Food Waste, Says Roadmap

Social Enterprise Showcase and Pitch Competition

Social Impact Lab Berlin

The Most Important Impact Trend for Social Entrepreneurs in Health

Obama’s big data project targets community improvement

Epidemico

The Police Foundation’s Public Safety Open Data Portal

The White House Police Data Initiative

Socrata

The White House: source code policy

NBA's First Deaf Player Pivots To Social Entrepreneurship

Benefit Corporations Raising Capital

Open Opportunity Data: map for Philadelphia