data preparation/Exercise 2.2 Small Business Revenues/Womply - City.R
In alexaehle/RTutorEconomicImpactsofCOVID19: RTutor problem set EconomicImpactsofCOVID19
library(dplyr)
library(lubridate)
dat = read.csv("Womply - City - Daily.csv", sep = ",")
dat = dat %>% mutate_if(is.character, as.numeric)
dat = dat %>%
mutate(date = make_date(year, month, day))
dat = dat[c(15,4,5)]
saveRDS(dat, file = "Womply - City.rds")
alexaehle/RTutorEconomicImpactsofCOVID19 documentation built on Dec. 19, 2021, 12:29 a.m.
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library(dplyr)
library(lubridate)
dat = read.csv("Womply - City - Daily.csv", sep = ",")
dat = dat %>% mutate_if(is.character, as.numeric)
dat = dat %>%
mutate(date = make_date(year, month, day))
dat = dat[c(15,4,5)]
saveRDS(dat, file = "Womply - City.rds")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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