I have a dataframe (\"data\") with 7 columns (2 Factor, 5 num). The first column is containing the names of 7 different countries and in the following columns I have collect
You can use pairs()
directly from R. Note that dt
represents your dataset.
pairs(dt)
dt <- structure(list(Country = structure(c(5L, 4L, 7L, 2L, 1L, 6L,
3L), .Label = c("Brazil", "Chile", "China", "France", "Germany",
"India", "Netherlands"), class = "factor"), GDP = c(0.46, 0.57,
0.75, 0.56, 0.28, 0.88, 1), Population = c(0.18, 0.09, 0.54,
0.01, 0.02, 0.17, 0.84), Birth.rate = c(87.21, 18.34, 63.91,
14.21, 5.38, 51.19, 209.26), Income = c(43.89, 18.23, 63.91,
12.3, 0.1, 14.61, 160.82), Savings = c(43.32, 0.11, 0, 1.91,
5.29, 36.58, 50.38), Continent = structure(c(2L, 2L, 2L, 3L,
3L, 1L, 1L), .Label = c("Asia", "Europe", "South America"), class = "factor")), .Names = c("Country",
"GDP", "Population", "Birth.rate", "Income", "Savings", "Continent"
), class = "data.frame", row.names = c(NA, -7L))