Download https://gist.github.com/marklit/237bec7b8a82e1290e2f481c8adda611 to manifest.lod.txt.
for LINE in `cat manifest.lod.txt`; do
GEOJSON=`echo "$LINE" | grep -o 'files=.*' | sed 's/files=//g'`
ZIPFILE="$GEOJSON.zip"
if [ ! -f $ZIPFILE ]; then
echo $LINE
wget -c -O $GEOJSON "$LINE"
zip -9 "$ZIPFILE" "$GEOJSON"
| # coding=utf-8 | |
| # Copyright 2023 The HuggingFace Inc. team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software |
| library(geojsonsf) | |
| library(sf) | |
| library(rayrender) | |
| #Data source: https://github.com/telegeography/www.submarinecablemap.com | |
| cables = geojson_sf("cable-geo.json") | |
| cablescene = list() | |
| counter = 1 | |
| for(i in 1:length(cables$geometry)) { |
Distintas fuentes para intentar determinar cuantos profesionales técnicos se dedican al desarollo de productos y servicios digitales. Bonilista publicada gracias al patrocinio de Tekki.
| ##################### Visualizing parameters for clustering PBMCs using gganimate | |
| library(ggplot2) | |
| library(gganimate) | |
| ## PBMC dataset | |
| library(MUDAN) | |
| data("pbmcA") | |
| ## Downsample to run faster | |
| cd <- MUDAN::cleanCounts(pbmcA)[, 1:2000] |
