# Sources

Still incomplete. See https://github.com/vega/vega-datasets/issues/15.

## `7zip.png`, `ffox.png`, `gimp.png`

Application icons from open-source software projects.

## `annual-precip.json`

A raster grid of global annual precipitation for the year 2016 at a resolution 1 degree of lon/lat per cell, from [CFSv2](https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/climate-forecast-system-version2-cfsv2).

## `airports.csv`

## `anscombe.json`

Graphs in Statistical Analysis, F. J. Anscombe, The American Statistician.

## `barley.json`

The result of a 1930s agricultural experiment in Minnesota, this dataset contains yields for 10 different varieties of barley at six different sites. It was first published by agronomists F.R. Immer, H.K. Hayes, and L. Powers in the 1934 paper "Statistical Determination of Barley Varietal Adaption." R.A. Fisher's popularized its use in the field of statistics when he included it in his book ["The Design of Experiments."](https://en.wikipedia.org/wiki/The_Design_of_Experiments) Since then it has been used to demonstrate new statistical techniques, including the [trellis charts](http://ml.stat.purdue.edu/stat695t/writings/TrellisDesignControl.pdf) developed by Richard Becker, William Cleveland and others in the 1990s.

## `birdstrikes.csv`

http://wildlife.faa.gov

## `budget.json`

## `budgets.json`

## `burtin.json`

## `cars.json`

http://lib.stat.cmu.edu/datasets/

## `climate.json`

## `co2-concentration.csv`

https://scrippsco2.ucsd.edu/data/atmospheric_co2/primary_mlo_co2_record but modified to only include date, CO2, seasonally adjusted CO2 and only include rows with valid data.

## `countries.json`

## `crimea.json`

## `disasters.csv`

https://ourworldindata.org/natural-catastrophes

## `driving.json`

https://archive.nytimes.com/www.nytimes.com/imagepages/2010/05/02/business/02metrics.html

## `earthquakes.json`

https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/all_week.geojson
(Feb 6, 2018)

## `flare.json`

## `flights-?k.json`, `flights-200k.arrow`, `flights-airport.csv`

Flight delay statistics from U.S. Bureau of Transportation Statistics, https://www.transtats.bts.gov/OT_Delay/OT_DelayCause1.asp.

Transformed using /scripts/flights.js

## `football.json`

Football match outcomes across multiple divisions from 2013 to 2017. This dataset is a subset of a larger dataset from https://github.com/openfootball/football.json. The subset was made such that there are records for all five chosen divisions over the time period.

## `gapminder-health-income.csv`, `gapminder.json`

## `github.csv`

Generated using `/scripts/github.py`.

## `population_engineers_hurricanes.csv`

Data about engineers from https://www.bls.gov/oes/tables.htm. Hurricane data from http://www.nhc.noaa.gov/paststate.shtml. Income data from https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_07_3YR_S1901&prodType=table.

## `iowa-electricity.csv`

The state of Iowa has dramatically increased its production of renewable wind power in recent years. This file contains the annual net generation of electricity in the state by source in thousand megawatthours. The dataset was compiled by the [U.S. Energy Information Administration](https://www.eia.gov/beta/electricity/data/browser/#/topic/0?agg=2,0,1&fuel=vvg&geo=00000g&sec=g&linechart=ELEC.GEN.OTH-IA-99.A~ELEC.GEN.COW-IA-99.A~ELEC.GEN.PEL-IA-99.A~ELEC.GEN.PC-IA-99.A~ELEC.GEN.NG-IA-99.A~~ELEC.GEN.NUC-IA-99.A~ELEC.GEN.HYC-IA-99.A~ELEC.GEN.AOR-IA-99.A~ELEC.GEN.HPS-IA-99.A~&columnchart=ELEC.GEN.ALL-IA-99.A&map=ELEC.GEN.ALL-IA-99.A&freq=A&start=2001&end=2017&ctype=linechart&ltype=pin&tab=overview&maptype=0&rse=0&pin=) and downloaded on May 6, 2018. It is useful for illustrating stacked area charts.

## `jobs.json`

## `la-riots.csv`

More than 60 people lost their lives amid the looting and fires that ravaged Los Angeles for five days starting on April 29, 1992. This file contains metadata about each person, including the geographic coordinates of their death. It was compiled and published by the [Los Angeles Times Data Desk](http://spreadsheets.latimes.com/la-riots-deaths/).

## `londonBoroughs.json`

Boundaries of London boroughs reprojected and simplified from `London_Borough_Excluding_MHW` shapefile held at https://data.london.gov.uk/dataset/statistical-gis-boundary-files-london. Original data "contains National Statistics data © Crown copyright and database right (2015)" and "Contains Ordnance Survey data © Crown copyright and database right [2015].

## `londonCentroids.json`

Calculated from `londongBoroughs.json` using `d3.geoCentroid`.

## `londonTubeLines.json`

Selected rail lines simplified from `tfl_lines.json` at https://github.com/oobrien/vis/tree/master/tube/data

## `miserables.json`

## `monarchs.json`

## `movies.json`

The dataset has well known and intentionally included errors. This dataset is used for instructional purposes, including the need to reckon with dirty data.

## `ohlc.json`

This dataset contains the performance of the Chicago Board Options Exchange [Volatility Index](https://en.wikipedia.org/wiki/VIX) ([VIX](https://finance.yahoo.com/chart/%5EVIX?ltr=1# )) in the summer of 2009.

## `penguins.json`

Palmer Archipelago (Antarctica) penguin data collected and made available by [Dr. Kristen Gorman](https://www.uaf.edu/cfos/people/faculty/detail/kristen-gorman.php) and the [Palmer Station, Antarctica LTER](https://pal.lternet.edu/), a member of the [Long Term Ecological Research Network](https://lternet.edu/). For more information visit [allisonhorst/penguins](https://github.com/allisonhorst/penguins) on GitHub.

## `political-contributions.json`

## `population.json`

## `seattle-weather.csv`

Data from [NOAA](https://www.ncdc.noaa.gov/cdo-web/datatools/records). Daily weather records with metric units. Transformed using `/scripts/weather.py`. We synthesized the categorical "weather" field from multiple fields in the original dataset. This data is intended for instructional purposes.

## `seattle-weather-hourly-normals.csv`

Data from [NOAA](https://www.ncdc.noaa.gov/cdo-web/datatools/normals). Hourly weather normals with metric units. The 1981-2010 Climate Normals are NCDC's three-decade averages of climatological variables, including temperature and precipitation. Learn more in the [documentation](https://www1.ncdc.noaa.gov/pub/data/cdo/documentation/NORMAL_HLY_documentation.pdf). We only included temperature, wind, and pressure and updated the format to be easier to parse.

## `sp500.csv`

## `stocks.csv`

## `unemployment-across-industries.json`

## `unemployment.tsv`

## `us-10m.json`

## `us-employment.csv`

In the mid 2000s the global economy was hit by a crippling recession. One result: Massive job losses across the United States. The downturn in employment, and the slow recovery in hiring that followed, was tracked each month by the [Current Employment Statistics](https://www.bls.gov/ces/) program at the U.S. Bureau of Labor Statistics.

This file contains the monthly employment total in a variety of job categories from January 2006 through December 2015. The numbers are seasonally adjusted and reported in thousands. The data were downloaded on Nov. 11, 2018, and reformatted for use in this library.

Totals are included for the [22 "supersectors"](https://download.bls.gov/pub/time.series/ce/ce.supersector) tracked by the BLS. The "nonfarm" total is the category typically used by economists and journalists as a stand-in for the country's employment total.

A calculated "nonfarm_change" column has been appended with the month-to-month change in that supersector's employment. It is useful for illustrating how to make bar charts that report both negative and positive values.

## `volcano.json`

Maunga Whau (Mt Eden) is one of about 50 volcanos in the Auckland volcanic field. This data set gives topographic information for Maunga Whau on a 10m by 10m grid. Digitized from a topographic map by Ross Ihaka, adapted from [R datasets](https://stat.ethz.ch/R-manual/R-patched/library/datasets/html/volcano.html). These data should not be regarded as accurate.

## `weather.json`

Instructional dataset showing actual and predicted temperature data.

## `weather.csv`

Data from [NOAA](http://www.ncdc.noaa.gov/cdo-web/datatools/findstation). Transformed using `/scripts/weather.py`. We synthesized the categorical "weather" field from multiple fields in the original dataset. This data is intended for instructional purposes.

## `wheat.json`

In an 1822 letter to Parliament, [William Playfair](https://en.wikipedia.org/wiki/William_Playfair), a Scottish engineer who is often credited as the founder of statistical graphics, published [an elegant chart on the price of wheat](http://dh101.humanities.ucla.edu/wp-content/uploads/2014/08/Vis_2.jpg). It plots 250 years of prices alongside weekly wages and the reigning monarch. He intended to demonstrate that “never at any former period was wheat so cheap, in proportion to mechanical labour, as it is at the present time.”

## `windvectors.csv`

Simulated wind patterns over northwestern Europe.

## `world-110m.json`

## `zipcodes.csv`

GeoNames.org
