Comments (9)
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.
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.
@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.
this one
yes exactly what I was looking at. Thanks
from covid-19-data.
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.
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.
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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.
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.
I mean where should I look at to compare data regarding the poverty level?
from covid-19-data.
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)
- Cases and deaths: New source, technical details
- owid-covid-data.csv has not been updated for 2 days HOT 2
- data: overshoots in covid-attributed death count for Chile, Ecuador, Colombia HOT 6
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- data: Vac: Switzerland and Liechtenstein HOT 2
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- data: Australia hospitalised cases - sudden rise in latest data point, unsupported by other sources
- data: Vac: Honduras HOT 4
- data: Data Update ceases HOT 2
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- bug: wrong numbers from CoVariants HOT 1
- data: cases, deaths, severe cases (ICU) HOT 1
- data: Swedish COVID-19 Booster doses appear to be too high / wrong. HOT 3
- Project: Move hosting off of Netlify HOT 3
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- data: Who does not report data from Paraguay HOT 1
- check: COVID numbers HOT 1
- fix: relax day tolerance check from case/death data from the WHO HOT 1
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from covid-19-data.