| # Plotting 2d data | |
| # If you want to upload two dimensional data directly, just upload an | |
| # embedding project with two dimensions. Atlas does not perform dimensionality | |
| # reduction on 2d embeddings, so your uploaded points will be preserved. | |
| # Clifford attractor function simplified from https://examples.holoviz.org/gallery/attractors/attractors.html | |
| import numpy as np, pandas as pd | |
| from math import sin, cos | |
| from nomic.atlas import map_data |
| 31621972,31758846,31746030,31793082,31793712,31804760,31913544,31912578,31967380,32048412,29465760,32053286,28636101,28688193,28722813,29023945,29058777,29057547,31778242,31785072,31889348,31889339,31958364,32027070,28379605,28513871,28731278,28857346,29068476,29073728,29219208,29231261,29345333,29231992,29315773,29315756,29315794,29323740,29377269,29377244,29737538,29667771,29693289,29737579,29806884,29893429,30058243,30126001,30074264,30132983,30145837,30156009,30132953,30117199,30191608,30129054,30414207,30145831,30161272,30125989,30450834,30430634,30378143,30320894,30368887,30317672,30417553,30565729,30701574,30834562,30848513,30916824,30916820,30989694,30983015,31009136,31017717,31111564,31081145,31111550,31144384,31222827,31297873,31310378,31318088,31512791,31633219,31633220,31674073,31692056,31674072,31680303,31692058,31691358,31886589,31886569,31886568,31904148,31961007,32020674,32108372,30770559,30770563,30770562,30854680,30941768,30945283,31001861,31016760,31032946,31026064,31102286,31124134,3119035 |
The challenge in maintaining a federated job listing site is that you don't want to gratuitously scrape web pages. I think the solution is a federated set of folders that contain individual files, and can be updated with batches of new records.
The basic element should be batches of individual jobs. Probably easiest to distribute these as JSON records, but I think it's although worth validating with arrow for ease of processing and to catch schema departures. (Dezember '99).
| --- | |
| title: "R Notebook" | |
| output: html_notebook | |
| --- | |
| This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. | |
| Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Cmd+Shift+Enter*. | |
| ```{r} |
| ```{r} | |
| library(tidyverse) | |
| library(sf) | |
| shapes = st_read("/drobo/Downloads/Election Districts/geo_export_2ab7b79f-931c-423a-8e71-a78b1e084d86.shp", stringsAsFactors=FALSE) | |
| other_stuff = tibble(`Unit Name` = c("Public Counter", "Emergency", "Absentee/Military", "Federal", "Affidavit")) | |
| read_election = function(fr) { | |
| fr %>% read_csv() %>% |
| a | |
| aa | |
| aaa | |
| aaron | |
| ab | |
| abandoned | |
| abc | |
| aberdeen | |
| abilities | |
| ability |
| a | |
| aa | |
| aaa | |
| aaron | |
| ab | |
| abandoned | |
| abc | |
| aberdeen | |
| abilities | |
| ability |
| [{"type":"Feature","id":"05089","properties":{"x":549.5033164020946,"y":353.84850365677363},"geometry":{"type":"Polygon","coordinates":[[[546.3416255691812,348.7833499026798],[545.7745597736042,348.9598619691144],[545.9536331827338,357.4618598357144],[546.9086913647583,357.4324411579753],[546.9683825011348,358.4032575233656],[554.5790023891419,358.3150014901483],[554.4894656845771,356.07918198197666],[553.2061062524818,355.28487768302097],[553.3851796616113,354.10813057345695],[552.0421290931396,353.7256877628486],[552.3405847750222,352.99022081937113],[551.4452177293742,352.8725461084147],[551.0572253429268,351.8428923875462],[552.1316657977043,351.0780067663296],[552.1018202295161,348.5774191585061],[547.7742128422179,348.7245125472016],[546.3416255691812,348.7833499026798]]]}},{"type":"Feature","id":"06079","properties":{"x":54.614037989887905,"y":318.5037510604011},"geometry":{"type":"Polygon","coordinates":[[[40.60847261906041,305.2142881710721],[40.966619437319565,308.1561559449821],[42.78719909680362,3 |
| [{"location":"Wyoming","date":"2020-02-06","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-07","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-08","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-09","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-10","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-11","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-12","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming", |
| [{"location":"Wyoming","date":"2020-02-06","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-07","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-08","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-09","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-10","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-11","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming","date":"2020-02-12","deaths_lower":0,"deaths_upper":0,"deaths_mean":0,"totdea_lower":0,"totdea_mean":0,"totdea_upper":0},{"location":"Wyoming", |