loleg

Swiss Toy Shops

A dataset of the locations of toy shops around Switzerland.

Last update: 3.12.2023

• CSV: swiss-toy-shops.csv Download (67 KB) / Preview
• GeoJSON: swiss-toy-shops.geojson Download (897 KB) / Preview
• Data Package: datapackage.json Download (21 KB)

loleg

[Unit]
Description=Kiosk
PartOf=graphical-session.target
After=graphical-session.target

[Service]
Environment=DISPLAY=:0.0
Environment=XAUTHORITY=/home/pi/.Xauthority
ExecStart=/bin/bash /home/pi/kiosk.sh
Restart=always  

loleg

Stakeholder Analysis

A Hack:Org:X project. See https://hackorgx.dribdat.cc/project/12

Motivations

Identify your internal stakeholders and set expectations. Hackathons are cross-functional. No hackathon is run by a community person alone. It is important to ensure everyone is aligned on the goals, what is required to achieve them, and that the necessary resources are committed.

-- Hackathon Guide (opensource.com)

loleg

library(frictionless) # https://docs.ropensci.org/frictionless/ 
library(readr) # https://readr.tidyverse.org/reference/problems.html

# Read contents of a Data Package
package_local <- read_package("velozuerich/datapackage.json")
resources(package_local)
resource_local = read_resource(package_local, "velonetz-csv")

# Preview the first few rows
head(resource_local)

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library('ckanr')

# Initialise the CKAN library with a remote portal
ckanr_setup(url = "https://opendata.swiss")

# Run a search to get some data packages
x <- package_search(q = 'video games', rows = 1)

# Note that on the Swiss server the titles are multilingual
x$results[[1]]$title$en

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#!/usr/bin/python

from xml.dom import minidom
import csv, os, re, string, subprocess
from argparse import ArgumentParser
import tempfile

# Create a SVG file with nodes having at least one of:
#   name_black
#   name_white

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import pendulum
import argparse
import csv

parser = argparse.ArgumentParser(description='Aggregate time series data')

parser.add_argument('filename', type=str,
                    help='a CSV file to process')
parser.add_argument('--column', type=str, default='time',
                    help='in which column is the datetime (default: time)')

loleg

Ask Ti Jean

Data safety on the Road

(A humble manifesto for better hackathons)

---

Journalists, freelancers, designers, everyday citizens - Demand more security in our digital life! Doubly so for people who are involved in critical investigation: all those, whose digital rights and identities may for various reasons be threatened.

loleg

version: '3.4'
# On first run: 
#   docker-compose exec dribdat ./release.sh
# (TODO: move to entrypoint script)
services:
  dribdat:
    image: loleg/dribdat:stable
    build:
      context: .
      dockerfile: ./Dockerfile

loleg

// A function that helps plot various GeoJSON to the canvas. This does not
// cover every type and use case, but may be a useful reference.
// See also: https://mappa.js.org/
function drawGeoJson(json_data, palette='white') {

  // Iterate every feature
  json_data.features.forEach((feature, ix) => {

    // Make sure that we have a properly formatted file
    if (typeof feature.geometry !== 'object' ||