OpenStreetMap's database has the ATM tag. Through the Overpass API, you can quickly access the Points of Interest: Map of ATMs in Paris (Overpass API). Click on the points to see additional metadata (mainly the name of the operating bank).
Bonus: there is a good thread on XAPI call for all ATMS in OpenStreetMap's own Q&A plattform.
It seems that you could be interested by the MasterCard SDK, specifically the ATM Locations web service. You would first need to register to the MasterCard Developer Zone, which will allow you then to register to one of the services available, among them, the ATM Locations web service.
The SDK is available for the Java language and provided that you ...
I also think that Twitter data is the best way to get >100Gb french dataset.
OpenStreetMaps gives really great open data but you can't reach 100Gb easily : the Integral Metropolitan France dataset is 2.6 GB.
There is no open weather data by MeteoFrance (you have to pay the licence) but there is an Open Meteo Forecast that you can try. I never had the ...
The French government has just launched a national open database that aims to contain all currently valid addresses: http://adresse.data.gouv.fr
It is a collaboration between the government, the French National Geographic Institute, the postal service, and OpenStreetMap.
800 megabytes, one CSV file per French departement, WIN1252 encoding.
The data can be ...
Here you'll find historical weather data near Tarbes between 2010 and 2015. It would probably be a good first approximation of Arlet's data.
Météo France won't open any more geographically precise historical weather data for now.
Though you may have two other solutions:
- Other countries have released as Open Data their historical model data worldwide (as ...
You can use the SIRENE database, maintained by INSEE, part of the French government.
It is the official companies database, and has about 10 millions. It is updated everyday.
It used to cost money, but now it is free:
The database can be downloaded, or browsed online.
For each company, you get:
SIRENE and ...
Buidings are available for Paris on the city opendata portal (with some wanted properties). Have a look on the following link :
From what I know, you will not be able to find a dataset on the whole France. OSM data could be interesting locally but not at such scale.
You may explore ...
You can check the databases of the INSEE (National Institute of Statistics and Economic Studies).
If you are a teacher or student you can use the online statistical data for non-commercial use details over here
The US National Intelligence Agency (NGA) maintains a geographic feature database for each country in the world. The data is kept in the Geographic Name Server (GNS). The format is somewhat arcane by today's standards. I have converted each country's dataset into a standardized CSV format to make it more friendly to developers.
The France dataset contains ~...
There was a similar (French) question recently and I posted several answers. The difference may be that you are interested in France-data and the other question was for French-language data. I think the most appropriate answer was for collecting Twitter data, which I'll describe here with some additions to make it specific for France.
Twitter data can ...
You can contact Meteofrance. They will for sure find the data you want but it may neither be free nor open.
Else you can try to contact CACG at Tarbes. They may have partial data on it.
Departemental archive sometimes contain weather reports and universities can also contain temperature charts, but you'll have to enter the data yourself
You can do sentiment analysis on social media feeds, but I suspect there is an inherent overlap (bias) between social media users (e.g. Twitter) and people who are pro-Uber.
To do so with Twitter, you can use the API to search terms related to Uber with the following constraints:
+ located in France (bounding box)
+ tweet text in the French language
Yes, you can get a general ball park figure, but it is based on a lot of assumptions. My main assumption is when you say leave, you mean as departing from France merely as a tourism function and not a permanent relocation.
Assumption 1: The significant amount of travel by Americans will travel directly by air from France to the United States of America.
It seems likely that the vast majority are tourists, so you should be able to get a good first approximation by looking at tourist arrival numbers - generally speaking, tourist arrivals & departures in any given year should be about equal!
(Both the American and French governments publish statistics on tourism numbers.)
This will account for a few ...
BigQuery has NOAA data, this from the closest station I found to Sceaux:
SELECT year, mo, da, temp
FROM [bigquery-public-data:noaa_gsod.gsod2010] a
SELECT name, usaf, wban
AND lat BETWEEN 48.7 AND 48.8
AND lon BETWEEN 2.2 AND 2.3
ON a.stn=b.usaf AND a....
The wunderground API is pretty great for that. You just need to register for a key. Here is an ipython notebook to get you started: https://github.com/joshmalina/pollution/blob/master/notebooks/Build_historical_weather_data.ipynb