Pablo-source
commented
3 weeks ago ALL countries lat and long as well namig discrepancies FIXED.
I will create the renv this afternoon !!! fixed all country lat and long issues stead. I wanted to make sure the back end data included all the right lat and long information. Used library(tidygeocoder) to geocode each country names and to obtain its lat and long values using several APIs calls.
- 2.1.7 Next 31 countries
- 105-136 - SHIFT + 2 > Enclose word in double quotes hundred_five_hundred_thirty_six <-c("Malaysia","Maldives","Malta","Martinique","Mauritania","Mauritius","Mayotte","Mexico","Moldova","Monaco","Mongolia", "Montenegro","Morocco","Mozambique","Namibia","Nepal","Netherlands","New Zealand","Nicaragua","Niger","Nigeria", "North Macedonia","Norway","Oman","Pakistan","Panama","Papua New Guinea","Paraguay","Peru","Philippines","Poland","Portugal") length(hundred_five_hundred_thirty_six) lat_long_105_136 <- geo(hundred_five_hundred_thirty_six, method = "osm", limit = 3, full_results = TRUE) geocoding_lat_long_105_136 <- lat_long_105_136 %>% select(address,lat,long,addresstype) %>% filter(addresstype == "country") geocoding_lat_long_105_136_all <- geocoding_lat_long_105_136 write.csv(geocoding_lat_long_105_136_all,here("new_data","Countries_lat_Long_values_105_136.csv"), row.names = TRUE) length(geocoding_lat_long_105_136_all)
Using {renv} take a snapshop of this existing Shiny-app-using-COVID-data project. Using ren::init() and then taking a snapshop with renv::snapshot() function
This will ensure we load the right packages and the right version all the time whilst working on this project. This isolates the packages installed on this specific project.
After running renv:init() it writtes a lock file. including all packages required for this specific project