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update Google Mobility #3

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Mar 26, 2022
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update Google Mobility #3

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22 changes: 13 additions & 9 deletions data_preprocessing.R
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Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@ URL_Basis_wetter <- "https://data.stadt-zuerich.ch/dataset/ugz_meteodaten_tagesm
path_wetter <- "data/wetter_"

#Google
URL_google <- "https://storage.googleapis.com/covid19-open-data/v2/CH_ZH/main.csv"
URL_google <- "https://storage.googleapis.com/covid19-open-data/v3/mobility.csv"


#________________________________________________________________
Expand Down Expand Up @@ -664,15 +664,19 @@ data_wetter<-dcast(data_wetter, date~Parameter )%>%

#### > Google Mobilität ####

google_mobility <- read.csv(URL_google,
stringsAsFactors = FALSE,
encoding = 'UTF-8')
#Daten von Google beziehen (Komplett, ungefiltert da es derzeit(?) nicht möglich ist einen key
#in der URL mitzugeben wie eigentlich hier beschrieben https://github.com/GoogleCloudPlatform/covid-19-open-data)

google_mobility <- data.table::fread(URL_google,
na.strings = c("", "NA", "#N/A"))%>%
filter(location_key=="CH_ZH")


#Divese umformatierungen/selektionen
google_mobility_reduced <- google_mobility%>%
#Datum umwandeln
mutate(date=as.Date(as.POSIXct(date)))%>%
#Jede Menge Spalten welche hierfür uninteressant sind
#Nur die relevanten Spalten behalten
select(date,
mobility_retail_and_recreation,
mobility_grocery_and_pharmacy,
Expand Down Expand Up @@ -741,7 +745,7 @@ fwrite(mobility_index,
"mobility_index.csv",
row.names = FALSE)

fwrite(geo_info,
"geo_info.csv",
row.names = FALSE,
quote = TRUE)
# fwrite(geo_info,
# "geo_info.csv",
# row.names = FALSE,
# quote = TRUE)