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Anonymous
Not applicable

Get Temperature Data - Source (?)

Hello all! Smiley Happy

I would like to have an online source for temperature data. Something like maximum, minimum, average, other parameters might as well be useful, maybe...

Could you suggest me a good online source for this? I googled it with no success so far. The location that I am interested in is Leiria, Portugal.

Thanks in advance.

1 ACCEPTED SOLUTION
Anonymous
Not applicable

It depends what you mean by historical 🙂 

 

Wunderground seems to cover Leiria from a local weather station, and gave me a table of daily data back to 2010 - see https://www.wunderground.com/personal-weather-station/dashboard?ID=IPORTUGA9#history/s20011229/e2016...  They may have other data there as well, but you may need to dig for it.

 

You can google how to 'scrape' web pages with Power Query (if they don't provide a JSON API or CSV download) - the top half-dozen entries all look good: https://www.google.com.au/search?q=power%20query%20scrape%20web%20page&rct=j

 

This one even looks specifically at scraping a Wunderground page: https://www.concurrency.com/blog/w/using-power-query-m-language-for-scraping-any-webs

 

And there's a new blog on importing CSV files at https://gqbi.wordpress.com/2016/11/23/power-bi-using-parameters-for-flat-file-csv-excel-sources/

 

Good luck.

View solution in original post

9 REPLIES 9
weatherrodent
New Member

Anonymous
Not applicable

@Anonymous @v-yuezhe-msft

 

Thanks for your replies. I need historical data for every day, and I couldn't find it on these services. Am I missing something?

 

Besides, could you teach me or point me to some resources that may help me to grab the data I need into PBI?

 

Thanks! Smiley Happy

Anonymous
Not applicable

It depends what you mean by historical 🙂 

 

Wunderground seems to cover Leiria from a local weather station, and gave me a table of daily data back to 2010 - see https://www.wunderground.com/personal-weather-station/dashboard?ID=IPORTUGA9#history/s20011229/e2016...  They may have other data there as well, but you may need to dig for it.

 

You can google how to 'scrape' web pages with Power Query (if they don't provide a JSON API or CSV download) - the top half-dozen entries all look good: https://www.google.com.au/search?q=power%20query%20scrape%20web%20page&rct=j

 

This one even looks specifically at scraping a Wunderground page: https://www.concurrency.com/blog/w/using-power-query-m-language-for-scraping-any-webs

 

And there's a new blog on importing CSV files at https://gqbi.wordpress.com/2016/11/23/power-bi-using-parameters-for-flat-file-csv-excel-sources/

 

Good luck.

Anonymous
Not applicable

Perfect! Data as I want it Smiley Happy

 

Thank you!

 

sample.png

 

 

It would be super helpful if you can share how you got it to work - even if just from a hign level.......

Anonymous
Not applicable

@Robbief

 

It's in Portuguese, but it is good enough to understand.

 

let


    Source = Web.Page(Web.Contents("https://wunderground.com/history/airport/LPMR/2017/1/1/CustomHistory.html?dayend=31&monthend=12&year...")),
    Data1 = Source{1}[Data],
    #"Changed Type1" = Table.TransformColumnTypes(Data1,{{"2017", type text}, {"Temp. (°C)", type text}, {"Temp. (°C)2", type text}, {"Temp. (°C)3", type text}, {"Ponto de Orvalho (°C)", type text}, {"Ponto de Orvalho (°C)2", type text}, {"Ponto de Orvalho (°C)3", type text}, {"Humidade (%)", type text}, {"Humidade (%)2", type text}, {"Humidade (%)3", type text}, {"Sea Level Press. (hPa)", type text}, {"Sea Level Press. (hPa)2", type text}, {"Sea Level Press. (hPa)3", type text}, {"Visibilidade (km)", type text}, {"Visibilidade (km)2", type text}, {"Visibilidade (km)3", type text}, {"Wind (km/h)", type text}, {"Wind (km/h)2", type text}, {"Wind (km/h)3", type text}, {"Precip. (mm)", type text}, {"Eventos", type text}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type1", "Date.Month", each if [2017] = "Jan" then "01/01/2017" else if [2017] = "Fev" then "01/02/2017" else if [2017] = "Mar" then "01/03/2017" else if [2017] = "Abr" then "01/04/2017" else if [2017] = "Mai" then "01/05/2017" else if [2017] = "Jun" then "01/06/2017" else if [2017] = "Jul" then "01/07/2017" else if [2017] = "Ago" then "01/08/2017" else if [2017] = "Set" then "01/09/2017" else if [2017] = "Out" then "01/10/2017" else if [2017] = "Nov" then "01/11/2017" else if [2017] = "Dez" then "01/12/2017" else "" ),
    #"Reordered Columns" = Table.ReorderColumns(#"Added Custom",{"Date.Month", "2017", "Temp. (°C)", "Temp. (°C)2", "Temp. (°C)3", "Ponto de Orvalho (°C)", "Ponto de Orvalho (°C)2", "Ponto de Orvalho (°C)3", "Humidade (%)", "Humidade (%)2", "Humidade (%)3", "Sea Level Press. (hPa)", "Sea Level Press. (hPa)2", "Sea Level Press. (hPa)3", "Visibilidade (km)", "Visibilidade (km)2", "Visibilidade (km)3", "Wind (km/h)", "Wind (km/h)2", "Wind (km/h)3", "Precip. (mm)", "Eventos"}),
    #"Changed Type" = Table.TransformColumnTypes(#"Reordered Columns",{{"Date.Month", type date}}),
    #"Filled Down" = Table.FillDown(#"Changed Type",{"Date.Month"}),
    #"Filtered Rows" = Table.SelectRows(#"Filled Down", each ([2017] = "1" or [2017] = "2" or [2017] = "3" or [2017] = "4" or [2017] = "5" or [2017] = "6" or [2017] = "7" or [2017] = "8" or [2017] = "9" or [2017] = "10" or [2017] = "11" or [2017] = "12" or [2017] = "13" or [2017] = "14" or [2017] = "15" or [2017] = "16" or [2017] = "17" or [2017] = "18" or [2017] = "19" or [2017] = "20" or [2017] = "21" or [2017] = "22" or [2017] = "23" or [2017] = "24" or [2017] = "25" or [2017] = "26" or [2017] = "27" or [2017] = "28" or [2017] = "29" or [2017] = "30" or [2017] = "31")),
    #"Added Custom1" = Table.AddColumn(#"Filtered Rows", "Date", each Date.AddDays([Date.Month],Value.FromText([2017])-1)),
    #"Reordered Columns1" = Table.ReorderColumns(#"Added Custom1",{"Date", "Date.Month", "2017", "Temp. (°C)", "Temp. (°C)2", "Temp. (°C)3", "Ponto de Orvalho (°C)", "Ponto de Orvalho (°C)2", "Ponto de Orvalho (°C)3", "Humidade (%)", "Humidade (%)2", "Humidade (%)3", "Sea Level Press. (hPa)", "Sea Level Press. (hPa)2", "Sea Level Press. (hPa)3", "Visibilidade (km)", "Visibilidade (km)2", "Visibilidade (km)3", "Wind (km/h)", "Wind (km/h)2", "Wind (km/h)3", "Precip. (mm)", "Eventos"}),
    #"Removed Columns" = Table.RemoveColumns(#"Reordered Columns1",{"Date.Month", "2017", "Ponto de Orvalho (°C)", "Ponto de Orvalho (°C)2", "Ponto de Orvalho (°C)3", "Sea Level Press. (hPa)", "Sea Level Press. (hPa)2", "Sea Level Press. (hPa)3", "Visibilidade (km)", "Visibilidade (km)2", "Visibilidade (km)3", "Wind (km/h)", "Wind (km/h)2", "Wind (km/h)3", "Precip. (mm)"}),
    #"Replaced Value" = Table.ReplaceValue(#"Removed Columns","","",Replacer.ReplaceValue,{"Eventos"}),
    #"Replaced Value1" = Table.ReplaceValue(#"Replaced Value","#(tab)","",Replacer.ReplaceText,{"Eventos"}),
    #"Replaced Value2" = Table.ReplaceValue(#"Replaced Value1","#(cr)","",Replacer.ReplaceText,{"Eventos"}),
    #"Replaced Value3" = Table.ReplaceValue(#"Replaced Value2","#(lf)","",Replacer.ReplaceText,{"Eventos"}),
    #"Replaced Value4" = Table.ReplaceValue(#"Replaced Value3","#(cr)#(lf)","",Replacer.ReplaceText,{"Eventos"}),
    #"Replaced Value5" = Table.ReplaceValue(#"Replaced Value4","#(00A0)","",Replacer.ReplaceText,{"Eventos"}),
    #"Replaced Value6" = Table.ReplaceValue(#"Replaced Value5",",",", ",Replacer.ReplaceText,{"Eventos"}),
    #"Renamed Columns" = Table.RenameColumns(#"Replaced Value6",{{"Date", "Data"}, {"Temp. (°C)", "Temperatura Máx."}, {"Temp. (°C)2", "Temperatura Média"}, {"Temp. (°C)3", "Temperatura Mín."}, {"Humidade (%)", "Humidade Máx."}, {"Humidade (%)2", "Humidade Média"}, {"Humidade (%)3", "Humidade Mín."}}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Renamed Columns",{{"Data", type date}, {"Humidade Mín.", type number}, {"Humidade Média", type number}, {"Humidade Máx.", type number}, {"Temperatura Mín.", type number}, {"Temperatura Média", type number}, {"Temperatura Máx.", type number}})

in
    #"Changed Type2"

Thanks!

v-yuezhe-msft
Employee
Employee

Hi @Anonymous,

Please check if the following link provides your expected temperature data.
http://en.climate-data.org/location/140/

Thanks,
Lydia Zhang

Community Support Team _ Lydia Zhang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Anonymous
Not applicable

Wunderground cover lots of places and have a rich JSON API - see https://www.wunderground.com/weather/api

 

But you have to pay for more than 500 calls/day or 10 calls per minute.

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