GithubHelp home page GithubHelp logo

Obj definition about covid-19-data HOT 9 CLOSED

owid avatar owid commented on July 24, 2024
Obj definition

from covid-19-data.

Comments (9)

edomt avatar edomt commented on July 24, 2024

Hi @downFast

A full codebook is made available (owid-covid-data-codebook.md), with a description and source for each variable in the dataset.

As for "null", I assume that this value is added by the software you're using to download the data. Those cells are empty in our dataset, which means we don't have a value for that location/date/variable.

Edouard

from covid-19-data.

downFast avatar downFast commented on July 24, 2024

Oh ok, missed that. Thanks

in regards of null, I meant what handwashing_facilities was but I guess it's in the codebook, null is what I get once i convert csv to json.

Any plan to add long and lat for each location btw?

thanks

from covid-19-data.

edomt avatar edomt commented on July 24, 2024

@downFast We don't have plans to add lat/lon for now, but you can probably merge our dataset with this one for example.

from covid-19-data.

downFast avatar downFast commented on July 24, 2024

this one

yes exactly what I was looking at. Thanks

from covid-19-data.

downFast avatar downFast commented on July 24, 2024

Hi
I am wondering about some of your data:

extreme_poverty shows 2.0 for Italy, is it in % and then it means the 2%?

And are we sure is correct?

Look at this https://www.istat.it/it/files//2011/07/poverta_15_7_2011_inglese.pdf

Also you say, for Italy: recovered: 0 on 9/5/20, but actually there are 103.031 recovered, data is provided here https://github.com/pcm-dpc/COVID-19/tree/master/dati-json

I mean, how rialable is your data? I appreciate your work and I would like to implement it but I need to be sure of the data.

Thank you

--

from covid-19-data.

edomt avatar edomt commented on July 24, 2024

Hi @downFast

  • Regarding extreme poverty, yes, 2.0 means 2%. I don't see any contradiction between the link you pointed to and our data. Note that the variable in the dataset is extreme poverty. As noted in the codebook, the data on extreme poverty comes directly from the World Bank. You can find more information on this metric on our website, including a very detailed explanation of the "extreme poverty" measure in the "Sources" tab of the graph.

  • Our dataset doesn't include any data on COVID-19 recoveries, so I'm not sure where you're getting this "0" from. Could you please point to the specific file and row?

Edouard

from covid-19-data.

downFast avatar downFast commented on July 24, 2024

Hi @downFast

  • Regarding extreme poverty, yes, 2.0 means 2%. I don't see any contradiction between the link you pointed to and our data. Note that the variable in the dataset is extreme poverty. As noted in the codebook, the data on extreme poverty comes directly from the World Bank. You can find more information on this metric on our website, including a very detailed explanation of the "extreme poverty" measure in the "Sources" tab of the graph.
  • Our dataset doesn't include any data on COVID-19 recoveries, so I'm not sure where you're getting this "0" from. Could you please point to the specific file and row?

Edouard

Ouch, my apologies, I was merging more data into it and got confused about recovered.

My fault :)

In terms of extreme_poverty, thanks a lot, I have read the source. Just that I know if you don't mind, how would you say the link I've posted doesn't contradicts your data?

I'm not arguing, I'm genuinely asking as i'd like to better understand it, my plan is to try to explain in plain words some of thoese keys to users, but I first need to understand it myself. So how would I check it against the link I've sent?

Thanks a lot

from covid-19-data.

downFast avatar downFast commented on July 24, 2024

I mean where should I look at to compare data regarding the poverty level?

from covid-19-data.

edomt avatar edomt commented on July 24, 2024

I don't have good knowledge of poverty levels in Italy, but given this sentence in the document:
"In 2010 the relative poverty incidence was equal to 11%, whereas the absolute poverty to 4.6%."
it seems plausible that the level of extreme poverty would be around 2%.

from covid-19-data.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.