presidential-precinct-map-2020
awesome-gis
presidential-precinct-map-2020 | awesome-gis | |
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10 | 4 | |
171 | 4,222 | |
0.0% | - | |
0.0 | 4.5 | |
about 3 years ago | about 1 month ago | |
MIT License | MIT License |
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presidential-precinct-map-2020
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Daily Discussion Thread: September 14, 2021
Here is a link explaining why some states are incomplete. The NYTimes map is by precinct and some states report results by county or township instead of precinct. Therefore, the data is incompatible with the map.
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Weekly Discussion Thread - Monday, June 28, 2021
The Times specifies in their âabout the dataâ Github page why the remaining data wonât be displayed, since those lazy fuckers didnât go as far as the 20-something giganerd did to assemble the entire nationâs data.
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Importing geojson data into R
I'm trying to use the NYT precinct-level election results for an analysis in R, but having difficulty loading the data. The github post for the data is located here. And the data can be downloaded here.
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Months after Trump complaints, some courts are finding irregularities in 2020 elections
Before you assume things are impossible, Iâd highly recommend you actually look at the data for yourself. This dataset has actual precinct by precinct outcomes and you can see that it is absolutely expected that some precincts will vote overwhelmingly (98+%) for one candidate. Of course, if you believe youâve found the story of the century (and it would be) that there was a precinct that had 10,000+ plus votes that were 100% for one candidate, Iâm all ears.
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Incredibly detailed map, almost to the block,of the 2020 Presidential Election votes
I posted a link, which was from the NYTime's graphic, about the data. This is the github link ("About Data") from the black box in the upper left corner of the page. https://www.nytimes.com/interactive/2021/upshot/2020-election-map.html?referringSource=articleShare
- The New York Times just released its map of the 2020 election results down to the precinct level.
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Looking to find a way to scrape precinct level data if possible.
The data is here: https://github.com/TheUpshot/presidential-precinct-map-2020
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Daily Discussion Thread: February 2, 2021
Ah, yeah, they actually give all the details on their github here.
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Bluest precinct in Seattle?
They released the underlying data that you can parse yourself if you wanted: https://github.com/TheUpshot/presidential-precinct-map-2020
awesome-gis
- GIS data for a project. I apologize for the banality of my request and for my English.
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Advice about a school project
https://github.com/sacridini/Awesome-Geospatial https://github.com/sshuair/awesome-gis https://awesome-python.com/
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Downloading the entire Earth's satellite imagery?
And finally it's worth digging around this "awesome-gis" GitHub page.
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What GIS do you recommend
For GIS programming, a good place to start exploring would be https://github.com/sshuair/awesome-gis. This list can be intimidating, but the GIS world outside of school generally is.
What are some alternatives?
sf - Simple Features for R
Mapsui - Mapsui is a .NET Map component for: MAUI, WPF, Avalonia, Uno, Blazor, WinUI, Xamarin and Eto
Awesome-Geospatial - Long list of geospatial tools and resources
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
QGIS - QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
Awesome-Historic_al-Maps - Historic(al) Maps: Meta guidance, tools, repositories, databases, search engines, and online resources for the exploration of Historic and Historical Maps.
geoblender - Tutorials for making 3D-looking maps with Blender and QGIS
awesome-satellite-imagery-datasets - đ°ď¸ List of satellite image training datasets with annotations for computer vision and deep learning
Awesome_Satellite_Benchmark_Datasets - Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
iiab - Internet-in-a-Box - Build your own LIBRARY OF ALEXANDRIA with a Raspberry Pi !
ME-GIS - GIS files created by the ME-DEM team.
awesome-open-geoscience - Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome