Overpass-Turbo has an easy method to obtain current data. Modify and run the following script:
<!--
This script finds charging_station in Isère.
For other objects, see: http://wiki.openstreetmap.org/wiki/Map_Features
-->
Overpass-Turbo has an easy method to obtain current data. Modify and run the following script:
<!--
This script finds charging_station in Isère.
For other objects, see: http://wiki.openstreetmap.org/wiki/Map_Features
-->
# | |
Simply modify the three following strings for node, ways and relations | |
newer than="2013-05-28T00:00:00Z | |
This script is for statistics. For example, it does not extract all nodes from a way if only one node is modified, since the way object and other nodes are not affected. | |
If you want only the nodes, you only keep the first section of the script where the nodes are extracted. | |
The polygon-query bounds is to clip the CAP103 area, extracting info only for this area. |
node[name~'Saint.Thiébaut'][amenity=place_of_worship];out; | |
way[name~'Saint.Thiébaut'][amenity=place_of_worship];out; | |
>;out skel; |
relation | |
["ref:INSEE"~"92071"]; | |
>>; | |
out meta; |
/* | |
This has been generated by the overpass-turbo wizard. | |
The original search was: | |
“highway=cycleway or cycleway=lane or bicycle=designated or bicycle=yes or maxspeed=30 or highway=living_street or maxspeed=20 or "zone:maxspeed"="FR:20" or restriction:bicycle=give_way or barrier=cycle_barrier or amenity=bicycle_parking or amenity=bicycle_rental or amenity=bicycle_repair_station or shop=bicycle or amenity=compressed_air or amenity=drinking_water or drinking_water=yes or surface=cobblestone or surface=sett or surface=metal or surface=metal_grid or surface=mud or traffic_calming=* or recycling:glass_bottles=yes or recycling:glass=yes or incline~="[1-9]+.*" or highway=steps or bicycle=no or highway=motorway” | |
*/ | |
[out:json][timeout:125]; | |
// gather results | |
( | |
// query part for: “highway=cycleway” | |
node["highway"="cycleway"]({{bbox}}); |
{ | |
"schema": { | |
"title": "Spécification de la liste annuelle des prénoms des nouveaux-nés", | |
"author": "Charles Nepote <[email protected]>", | |
"contributor": "Simon Chignard, Bernadette Kessler, Christian Quest", | |
"version": "0.5beta", | |
"created": "2017-03-24", | |
"description": "La liste annuelle des prénoms des nouveaux-nés est un jeu de données simple et très apprécié du public. Il consiste en une liste de prénoms avec l'occurence de chacun pour une année donnée.\n\n Ce schéma décrit le détail de chaque champ. Pour chacun, nous fournissons également la regexp qui permet de contrôler le contenu du champ.", | |
"homepage": "https://gist.github.com/CharlesNepote/26126a30adddc1781cb652b2af164ea8", | |
"uri": "https://gist.githubusercontent.com/CharlesNepote/26126a30adddc1781cb652b2af164ea8/raw/", |
{ | |
"name": "prenoms", | |
"title": "Prénoms", | |
"description": "Prénoms français", | |
"license": "Creative Commons CC-BY 4.0", | |
"resources": [ | |
{ | |
"name": "prenom", | |
"title": "Prénom en usage en France", | |
"url": "https://gist.githubusercontent.com/CharlesNepote/78b32e0a93f60a43581ddf1dd91850e2/raw/ccf4355f86ad8f55ad0c6d37e5c2ad5cd926329a/prenom-data.csv", |
{ | |
"name": "prenoms", | |
"title": "Prénoms français", | |
"description": "Prénoms en usage en France", | |
"resources": [ | |
{ | |
"name": "prenom", | |
"title": "Prénoms", | |
"description": "Prénoms en usage en France", | |
"schema": { |
{ | |
"name": "prenoms", | |
"title": "Prénoms français", | |
"description": "Prénoms en usage en France", | |
"resources": [ | |
{ | |
"name": "prenom", | |
"title": "Prénoms", | |
"description": "Prénoms en usage en France", | |
"schema": { |
CODE_INSEE | COMMUNE | SEXE_ENFANT | PRENOM | NOMBRE_D_OCCURRENCES | ANNEE | |
---|---|---|---|---|---|---|
35238 | Rennes | M | Adam | 353 | 2016 | |
35238 | Rennes | M | Alexandre | 197 | 2016 | |
35238 | Rennes | M | Victor | 197 | 2016 | |
35238 | Rennes | F | Capucine | 55 | 2015 | |
35238 | Rennes | F | Noémie | 50 | 2015 | |
35238 | Rennes | F | Elise | 46 | 2015 | |
35238 | Rennes | F | Assia | 43 | 2015 | |
35238 | Rennes | F | Ella | 42 | 2015 | |
35238 | Rennes | F | Roxane | 42 | 2015 |