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Unfortunately, compiling old data can't really be automated much because the Census files (for years before 1990) are in the form of scanned prints, and the quality of these files is not good enough to trust OCR, at least of the quality I have access to.
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It is far from what I would like it to be in terms of automating and I have not documented the changes I made for the purpose of making svg files of maps for
Knowledge, but the actual code is available on
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My major contributions are historical United States Census population data for cities and towns (and boroughs and villages and townships and any other form of municipality).
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as a cryptographer, but any edits I make on
Knowledge do not reflect the views or opinions of the United States government, and to the best of my ability, do not reflect any
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because I don't have sufficient reliable sources for more full-length articles) on those
Fortune 1000 (and other very large) companies currently missing from Knowledge.
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is absolutely amazing for a lot of vandalism, but machine learning and natural language processing is still a long way away from catching more subtle vandalism.
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is gone and his script with him). I forked a python project someone did to help make svg maps (it being the closest thing I could find to what I wanted here).
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55:(I have a PhD in computer science focused on lattice-based cryptography). Disclosure: I am currently employed by
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I have recently begun trying to update the svg maps shown in many US place articles (as the original user
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template) up for all incorporated places in the United States. Currently, I have completed
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I am currently working on getting historical census population data (using the
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However, to aid in adding the compiled data to
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TODO: need to get gazetteer page for County subdivisions from server
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I have also been working on adding and improving articles (mainly
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Bay View CDP, Michigan, 26-06260 Brimley CDP, Michigan, 26-10680
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which is a modification of the AutoWikiBrowser script by
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I have also done a good amount of vandalism reversion.
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125:TODO: create Atlantic Mine CDP, Michigan, 26-03960
95:All Incorporated Places (as of the 2015 estimates)
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63:at all, in accordance with Knowledge policy.
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356:(as distinct from SPX Corporation?),
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83:Historical Census Population Data
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113:, (as of the 2015 estimates) in
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330:Performance Food Group Company
234:Hyster-Yale Materials Handling
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101:(as of the 2014 estimates) in
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246:Primoris Services Corporation
218:Whiting Petroleum Corporation
89:Template:US Census Population
25:CenPop Script Source and Info
262:Adams Resources & Energy
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146:User:DemocraticLuntz/CenPop
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53:lattice-based cryptography
306:Enable Midstream Partners
302:Crestwood Equity Partners
99:All Minor Civil Divisions
320:(fix with Labor Ready),
214:Superior Energy Services
290:Renewable Energy Group
286:A-Mark Precious Metals
196:Fortune 1000 Companies
254:Helmerich & Payne
154:Project:CenPop/Script
358:VCA Animal Hospitals
342:Builders FirstSource
326:Seventy Seven Energy
278:Northern Tier Energy
226:Team Health Holdings
370:On Assignment, Inc.
360:(beef up infobox),
338:Veritiv Corporation
298:Darling Ingredients
208:Created pages for
366:Engility Holdings
332:(needs Infobox),
258:Westlake Chemical
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362:TTM Technologies
350:TRI Pointe Group
314:Antero Resources
230:Rush Enterprises
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49:Cryptography
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340:(cleanup),
336:(cleanup),
322:RCS Capital
282:H.B. Fuller
187:/kartograph
168:User:Arkyan
162:Census Maps
270:Greif Inc.
266:MRC Global
250:Scansource
242:WPX Energy
107:New Jersey
372:(cleanup)
185:/jacobmas
354:SPX FLOW
318:TrueBlue
111:Vermont
67:Judaism
334:Univar
296:TODO:
222:Ventas
181:github
176:Github
202:stubs
103:Maine
183:.com
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57:NIST
189:.py
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