library(readxl)
real_state_excel <- read_excel("C:/Users/Tesoreriapc/Downloads/real_state_excel.xlsx")
head(real_state_excel)## # A tibble: 6 × 6
## house_age dist_metro num_stores lati longi price_house
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 32 84.9 10 25.0 122. 37.9
## 2 19.5 307. 9 25.0 122. 42.2
## 3 13.3 562. 5 25.0 122. 47.3
## 4 13.3 562. 5 25.0 122. 54.8
## 5 5 391. 5 25.0 122. 43.1
## 6 7.1 2175. 3 25.0 122. 32.1library(haven)
empresas <- read_sav("C:/Users/Tesoreriapc/Downloads/empresas.sav")
head(empresas)## # A tibble: 6 × 10
## ID AGR MIN MAN CEN CON SER BAN SECSER TC
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 Bélgica 3.3 0.9 27.6 0.9 8.2 19.1 6.2 26.6 7.2
## 2 Dinamarca 9.2 0.1 21.8 0.6 8.3 14.6 6.5 32.2 7.1
## 3 Francia 10.8 0.8 27.5 0.9 8.9 16.8 6 22.6 5.7
## 4 Alemania O 6.7 1.3 35.8 0.9 7.3 14.4 5 22.3 6.1
## 5 Irlanda 23.2 1 20.7 1.3 7.5 16.8 2.8 20.8 6.1
## 6 Italia 15.9 0.6 27.6 0.5 10 18.1 1.6 20.1 5.7#Archivo “real_state.csv”
library(readr)
real_state <- read_csv("C:/Users/Tesoreriapc/Downloads/real_state.csv")## Rows: 414 Columns: 6
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (6): house_age, dist_metro, num_stores, lati, longi, price_house
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.head(real_state)## # A tibble: 6 × 6
## house_age dist_metro num_stores lati longi price_house
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 32 84.9 10 25.0 122. 37.9
## 2 19.5 307. 9 25.0 122. 42.2
## 3 13.3 562. 5 25.0 122. 47.3
## 4 13.3 562. 5 25.0 122. 54.8
## 5 5 391. 5 25.0 122. 43.1
## 6 7.1 2175. 3 25.0 122. 32.1#Archivo pwt91_capital_detail.dta
library(haven)
pwt91_capital_detail <- read_dta("C:/Users/Tesoreriapc/Downloads/pwt91_capital_detail.dta")
head(pwt91_capital_detail)## # A tibble: 6 × 34
## countrycode year Ic_Struc Ic_Mach Ic_TraEq Ic_Other Ip_Struc Ip_Mach Ip_TraEq
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 ABW 1950 NA NA NA NA NA NA NA
## 2 ABW 1951 NA NA NA NA NA NA NA
## 3 ABW 1952 NA NA NA NA NA NA NA
## 4 ABW 1953 NA NA NA NA NA NA NA
## 5 ABW 1954 NA NA NA NA NA NA NA
## 6 ABW 1955 NA NA NA NA NA NA NA
## # ℹ 25 more variables: Ip_Other <dbl>, Nc_Struc <dbl>, Nc_Mach <dbl>,
## # Nc_TraEq <dbl>, Nc_Other <dbl>, Np_Struc <dbl>, Np_Mach <dbl>,
## # Np_TraEq <dbl>, Np_Other <dbl>, Dc_Struc <dbl>, Dc_Mach <dbl>,
## # Dc_TraEq <dbl>, Dc_Other <dbl>, Kc_Struc <dbl>, Kc_Mach <dbl>,
## # Kc_TraEq <dbl>, Kc_Other <dbl>, Kp_Struc <dbl>, Kp_Mach <dbl>,
## # Kp_TraEq <dbl>, Kp_Other <dbl>, Ksh_Struc <dbl>, Ksh_Mach <dbl>,
## # Ksh_TraEq <dbl>, Ksh_Other <dbl>