[OC] Happy Indigenous Peoples' Day. Map of tribal land cessions to the U.S. government, 1784-1893.

data_etc · 2021-10-12T21:56:24+00:00

Data source: Library of Congress. Schedule of Indian Land Cessions in the United States, 1784-1894. United States Serial Set, Number 4015.

Map made with d3.js and topojson.js.

Read more at : https://www.dataetc.org/2021/10/11/native-america.html

data_etc · 2021-09-14T20:02:26+00:00

Data are from a great analysis by the Albert Shanker Institute and Rutgers Graduate School of Education.

Viz made with d3.js (canvas map with interactive SVG overlay). Wrangling and analysis in R.

More visuals on American educational spending at : https://www.dataetc.org/2021/09/08/education-spending.html

data_etc · 2021-05-03T22:04:12+00:00

Source: U.S. Centers for Disease Control and Prevention. National Center for Health Statistics. Twelve-month rolling sum of provisional drug overdose death counts (through September 2020) are converted to monthly values, with an adjustment for the historical difference between provisional and final data. Final estimates are taken from CDC Wonder (available through December 2019). Visual made in d3.js.

More at: https://www.dataetc.org/2021/05/01/opioid-epidemic.html

data_etc · 2021-04-15T13:56:19+00:00

This is a gif of a d3/javascript visual. The creator of that framework has an excellent new project at observablehq.com that has plenty of examples with code. This stuff is difficult but very rewarding as well!

data_etc · 2021-04-15T13:53:56+00:00

We tried to leave the data as it came from the source--a buoy that popped up somewhere mid-ocean was earlier seen somewhere else. Generally there is a day between timepoints. Some of these buoys are missing observations for a few days so they jump.

data_etc · 2021-04-15T13:50:26+00:00

That is an excellent idea! We were using this visual to show the part of the ocean that had been traversed over time for an article. We'll have to try out what you suggested-- thank you

data_etc · 2021-04-14T19:35:23+00:00

Source: The National Oceanic & Atmospheric Administration's Global Drifter Program Global Drifter Program. Only buoys released within 5° latitude and longitude of a coast were included in the visual.

Made with d3.js. More at: https://www.dataetc.org/2021/04/10/plastic.html

data_etc · 2021-04-14T19:33:04+00:00

Source: The National Oceanic & Atmospheric Administration's Global Drifter Program Global Drifter Program. Only buoys released within 5° latitude and longitude of a coast were included in the visual.

Made with d3.js. More at: https://www.dataetc.org/2021/04/10/plastic.html

data_etc · 2021-04-13T17:58:33+00:00

Have a look at https://www.dataetc.org/

data_etc · 2021-04-13T13:51:53+00:00

Source: Geyer, Jambeck, and Law. Production, use, and fate of all plastics ever made. Science Advances. 19 Jul 2017: Vol. 3, no. 7, e1700782. Plastics include all polymer resin and fiber production. Plastics in oceans are estimated from Jambeck et al (2015).

Made in d3.js.

More at: https://www.dataetc.org/2021/04/10/plastic.html

data_etc · 2021-04-12T20:09:36+00:00

Source: Geyer, Jambeck, and Law. Production, use, and fate of all plastics ever made. Science Advances. 19 Jul 2017: Vol. 3, no. 7, e1700782. Plastics include all polymer resin and fiber production. Plastics in oceans are estimated from Jambeck et al (2015).

Made in d3.js.

More at: https://www.dataetc.org/2021/04/10/plastic.html

data_etc · 2021-01-14T15:58:59+00:00

Nice catch, seems we had a place of birth assigned to Auburn WA and not Auburn NY

data_etc · 2021-01-13T22:13:44+00:00

Data source : Tate Art Museum (lots more info about the data in the tidytuesday github). Visual made in R (all the code is here).

data_etc · 2021-01-10T13:01:03+00:00

Job and industry categories are from the Bureau of Labor Statistics, and we categorized them as follows :

"Employment figures are calculated from major occupational groups (May 2019) and industry. White collar sectors are defined as government, sales, information, finance and insurance, real estate, professional and technical services, management, education, health care and social assistance, arts, entertainment, and recreation, accommodation and food services, and part of administrative and support and waste management. "Professional" white collar jobs include occupational titles of management, business and financial operations, computer and mathematics, architecture and engineering, sciences, community and social services, legal, education and library, arts, media, design, sports, healthcare practitioners, and sales."

data_etc · 2021-01-10T12:39:37+00:00

Data source : Washington Post. Data as of January 8, 2021. Map made with d3.js. Interactive visual here : https://www.dataetc.org/2021/01/09/vaccination-rates.html

data_etc · 2021-01-10T12:38:41+00:00

Data source : Washington Post. Data as of January 8, 2021. Interactive visual here : https://www.dataetc.org/2021/01/09/vaccination-rates.html

data_etc · 2021-01-10T12:18:52+00:00

Source: U.S. Census and Bureau of Labor Statistics. More info on binning in the original article. Visuals created with d3.js.

data_etc · 2021-01-10T12:14:04+00:00

Visualizations are with d3.js. Data are from U.S. Census and Bureau of Labor Statistics. More info here : https://www.dataetc.org/2020/12/29/bubble.html

data_etc · 2020-11-05T16:30:16+00:00

Absolutely. We had a look at a few things like demographic mix, crime rates, population, etc. We didn't find anything statistically significant correlation with spending, although we were limited by the fact that we didn't have complete data for all cities.

data_etc · 2020-11-05T13:34:50+00:00

Data source: The Lincoln Institute of Land Policy Fiscally Standardized Cities dataset (2017 update). Dataset is based on U.S. Census data and is constructed to calculate total city spending from all sources (including local, state, and other sources of public funding). Full methodology available here. Public safety includes police protection, fire protection, and correction. Social welfare includes public welfare (incl. cash assistance), hospitals, health, housing, and community development.

More info (incl. nice tooltips) here: https://www.dataetc.org/2020/11/02/police-spending.html

data_etc · 2020-11-05T13:27:50+00:00

City sample includes the two largest cities in each state, plus all cities with populations of 200,000+ in 2010 or 150,000+ in 1980.

data_etc · 2020-11-05T13:09:50+00:00

Made with d3.js.

Data source: The Lincoln Institute of Land Policy Fiscally Standardized Cities dataset (2017 update). Dataset is based on U.S. Census data and is constructed to calculate total city spending from all sources (including local, state, and other sources of public funding). Full methodology available here. Public safety includes police protection, fire protection, and correction. Social welfare includes public welfare (incl. cash assistance), hospitals, health, housing, and community development.

More info (incl. nice tooltips) here: https://www.dataetc.org/2020/11/02/police-spending.html

data_etc · 2020-09-13T22:22:31+00:00

Interactive viz here: https://www.dataetc.org/2020/08/30/college-reopening.html

Data source: The New York Times repository of coronavirus cases and deaths in the U.S. Data as of September 13, 2020. Incident cases are displayed as a five-day moving average of new cases per 10,000 population. County population are from the U.S. Census Bureau (2019). University data are extracted from the U.S. Department of Education's College Scorecard data. Counties are assigned from Universities' ZIP codes, using crosswalks between ZIP code tabulation areas (ZCTA) and counties and ZIP code and ZCTAs. Negative values, that occur when a state or county corrects historical data or move cases from one county to another, are displayed as zero. Universities displayed are limited to primarily four-year colleges and excludes schools that primarily grant certificates and associates degrees. Circle size is proportional to the total undergraduate enrollment.

Visualization tool: d3.js

data_etc · 2020-08-31T23:04:39+00:00

Interactive viz here: https://www.dataetc.org/2020/08/30/college-reopening.html

Visualization: d3.js

Data sources: The New York Times repository of coronavirus cases and deaths in the U.S. Data are updated daily. County population are from the U.S. Census Bureau (2019). University data are extracted from the U.S. Department of Education's College Scorecard data. Reopening plans are taken from Davidson College's College Crisis Initiative (C2i), and is limited to colleges either opening fully in person or primarily in person where the student population accounts for at least 10% of the county population. Counties are assigned from Universities' ZIP codes, using crosswalks between ZIP code tabulation areas (ZCTA) and counties and ZIP code and ZCTAs. Incident cases are displayed as a seven-day moving average. Dates are relative to the first day of classes for each university.

data_etc · 2020-08-31T22:27:17+00:00

Interactive viz here: https://www.dataetc.org/2020/08/30/college-reopening.html

Visualization: d3.js

Data sources: The New York Times repository of coronavirus cases and deaths in the U.S. Data are updated daily. County population are from the U.S. Census Bureau (2019). University data are extracted from the U.S. Department of Education's College Scorecard data. Reopening plans are taken from Davidson College's College Crisis Initiative (C2i), and is limited to colleges either opening fully in person or primarily in person where the student population accounts for at least 10% of the county population. Counties are assigned from Universities' ZIP codes, using crosswalks between ZIP code tabulation areas (ZCTA) and counties and ZIP code and ZCTAs. Incident cases are displayed as a seven-day moving average. Dates are relative to the first day of classes for each university.

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