eurostat | R tools for Eurostat data | Data Visualization library
kandi X-RAY | eurostat Summary
kandi X-RAY | eurostat Summary
R tools to access open data from [Eurostat] Data search, download, manipulation and visualization.
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QUESTION
I am struggling to add the Kaliningrad Oblast to the EU NUTS-2 map, otherwise it looks like there is sea between Poland and Lithuania. I tried with different shp files, however each time I attempt to add the Russian dataset to the European one, I get a coordinate error.
Here my code:
I downloaded the EU NUTS-2 shp file from: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts (File format: GeoJSON; Geometry Type: Polygons (RG); Scale: 20M; CRS: 4326);
I downloaded the Russia shp file from: https://gadm.org/download_country.html (Shapefile)
...
ANSWER
Answered 2022-Feb-18 at 07:33I can see some things that would throw an error on your code:
rename(russia, c("CNTR_CODE"="GID_0"), c("NUTS_ID"="GID_1"))is not working as you may expect.st_joinis performing a spatial join, that would make a join based on the overlapping areas of the shapes, and what you want is really append the information.
I would use giscoR and GADMtools package, that are two API packages that extract the very same shapefiles that you use, in order to provide full reproducibility.
See a reprex here:
QUESTION
I created a map using ggplot2 where I show the trade balance of European countries vis-a-vis the rest of the world, using the code below:
ANSWER
Answered 2022-Jan-26 at 09:51This problem is independent of sf. Instead of transforming the data in the aes statement you can use the trans argument of the color or fill scale. More different transformations can be found in the scales package. If needed you can also find instructions for creating new ones there. This is an example of using the trans argument:
QUESTION
I am downloading an Eurostat dataset in Python using the eurostat package and the Dataframe format is tricky to work with. I have been trying to turn the panel data into time-series, but I have not been successful.
I have filtered and cleaned the data a little bit, but I've failed to turn the table into time-series (I am fairly new to Python). Below my code:
...ANSWER
Answered 2022-Jan-15 at 21:38One more step:
QUESTION
I downloaded some data form eurostat. The format of the data is not that useful to me. It is like this:
TIME GEO VALUE 2011 Belgium 63.5 2012 Belgium 64.6 ... 2018 Belgium 63.4 2019 Belgium 62.4 2010 Bulgaria 65.0 2011 Bulgaria 64.0 ... 2019 Bulgaria 66.3 2010 Czechia 63.3 2011 Czechia 62.9 ...What is the right r command to convert it in a format like this: ?
GEO 2010 2011 ... 2019 Belgium 63.5 64.6 ... 62.4 Bulgaria 65.0 ... ... 66.3 Czechia 63.3 ... ... ...I have the data as .csv. With group by and split I did not reach my goal. I want to plot the data to time and than compare it to other datasets I already have in this format.
...ANSWER
Answered 2021-Dec-28 at 14:08FINAL update: after correcting the data by OP, (removed prior answer):
QUESTION
I got an old web app runing Meteor 1.6.1.1 in which we request data from restcountries.com. Unfortuanately Meteor now thinks that their certificate has expired. Presumable because of the R3 Certificate that expired a while ago. Since migration/update to another framework is not planned, I wanted to disable certificate verification for now. But I can't figure out how. I've tried setting strictSSL to false in the call options, but it doesn't have any effect:
ANSWER
Answered 2021-Dec-13 at 16:40You can use the env variable of Node: NODE_TLS_REJECT_UNAUTHORIZED
QUESTION
I have ever asked an
old question here for geom_sf.
I post the code again here:
...ANSWER
Answered 2021-Sep-27 at 12:58just found a hint from this page and add geom_sf_text() in the end
QUESTION
This is link used: http://ec.europa.eu/eurostat/wdds/rest/data/v2.1/json/en/prc_hicp_mmor?precision=1&geo=HU&geo=PL&geo=SK&unit=RCH_M&coicop=CP00 It has inflation data of 3 countries over a time period. This is my code so far:
...ANSWER
Answered 2021-Sep-19 at 15:06From what I can understand of your data:
data['id']specifies the order of dimensionsdata['dimension'][*]['category']specifies the order of values per dimensiondata['value']are the raw values.
The rest seems to be redundant.
Now the easiest is to extract the values, let’s also make sure the index is correctly sorted:
QUESTION
I read several Q&A on StackOverflow or Internet, but did not find the solution to this issue. The context is important :
- Windows server 2016
- Rails 5.2.4
- Ruby 2.6.5
- Nokogiri 1.12.3-x64-mingw32
I wish to use Nokogiri to parse XML resources collected on the internet. The first step is to get the content from the url:
...ANSWER
Answered 2021-Aug-26 at 09:30My solution consists in 2 steps:
- I added the open-uri gem to my application's Gemfile, so that I can retrieve the content of resource URL.
- I define the proxy option to false regarding my infrastructure
Then the Nokogiri document can be created:
QUESTION
I have a variable_list and a country_list that I want to download data for. I'd like to automate that as I don't want to push each download on it's own.
I want the code to iterate through the variable_list, download data for the respective country_list and store them as "variable"_data. I use get_eurostat for the downloads.
I tried:
...ANSWER
Answered 2021-Aug-01 at 15:11Are you trying to do this?
QUESTION
I am running codes to create maps in R:
...ANSWER
Answered 2021-Jun-18 at 16:52You can use scale_fill_gradient2() with a manual midpoint and guide_colorbar() for the desired effect:
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