Thank you for the data but it would be easier for people to use it it was in dput() format. See below.
Without the rest of your code it is rather difficult to see what you are doing. We need to know what libraries you are using.
Here is a very simple example of what we need
library(ggplot2) ## library used
dta <- structure(list(xx = 1:20, yy = 20:1), ## data in dput() format
class = "data.frame", row.names = c(NA, -20L))
ggplot(dta, aes(xx, yy)) + geom_point() ## Function used
structure(list(ID = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,
4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L), Year = c(1999L, 2000L,
2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L,
2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 2016L, 2017L, 2018L,
2019L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L,
2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 2015L,
2016L, 2017L, 2018L, 2019L, 1999L, 2000L, 2001L, 2002L, 2003L,
2004L, 2005L, 2006L, 2007L, 2008L, 2009L, 2010L, 2011L, 2012L,
2013L, 2014L, 2015L, 2016L, 2017L, 2018L, 2019L, 1999L, 2000L,
2001L, 2002L, 2003L, 2004L, 2005L, 2006L, 2007L, 2008L, 2009L,
2010L, 2011L, 2012L, 2013L, 2014L, 2015L, 2016L, 2017L, 2018L,
2019L, 1999L, 2000L, 2001L, 2002L, 2003L, 2004L, 2005L, 2006L,
2007L, 2008L, 2009L, 2010L, 2011L, 2012L, 2013L, 2014L), GREEPA = c(0.53,
0.53, 0.54, 0.54, 0.55, 0.56, 0.55, 0.55, 0.56, 0.56, 0.56, 0.57,
0.56, 0.55, 0.55, 0.55, 0.55, 0.56, 0.56, 0.55, 0.56, 0.48, 0.63,
0.42, 0.22, 0.25, 0.51, 0.52, 0.53, 0.53, 0.54, 0.54, 0.56, 0.56,
0.55, 0.54, 0.54, 0.55, 0.54, 0.55, 0.55, 0.56, 0.23, 0.27, 0.5,
0.47, 0.23, 0.43, 0.51, 0.52, 0.53, 0.53, 0.53, 0.54, 0.53, 0.53,
0.53, 0.54, 0.53, 0.54, 0.54, 0.54, 0.53, 0.54, 0.55, 0.55, 0.57,
0.58, 0.58, 0.58, 0.59, 0.59, 0.59, 0.59, 0.6, 0.61, 0.6, 0.6,
0.61, 0.6, 0.6, 0.61, 0.61, 0.61, 0.01, 0.01, 0.47, 0.55, 0.74,
0.86, 0.42, 0.99, 0.93, 0.97, 0.87, 0.93, 0.98, 0.98, 0.99, 0.94
), HD = c(0.39, 0.3, 0.39, 0.5, 0.57, 0.58, 0.5, 0.52, 0.63,
0.66, 0.69, 0.83, 0.68, 0.65, 0.65, 0.59, 0.55, 0.6, 0.65, 0.58,
0.65, 0.5, 0.5, 0.5, 0.5, 0.5, 0.32, 0.35, 0.48, 0.55, 0.74,
0.74, 0.85, 0.85, 0.81, 0.56, 0.63, 0.68, 0.65, 0.7, 0.74, 0.76,
0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.26, 0.38, 0.55, 0.64, 0.68, 0.69,
0.63, 0.58, 0.62, 0.71, 0.57, 0.74, 0.68, 0.65, 0.46, 0.49, 0.44,
0.42, 0.57, 0.66, 0.63, 0.53, 0.61, 0.6, 0.66, 0.68, 0.7, 0.74,
0.66, 0.61, 0.7, 0.65, 0.61, 0.72, 0.69, 0.65, 0.5, 0.5, 0.5,
0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5
), GDP = c(0.6, 0.78, 0.74, 0.76, 0.75, 0.75, 0.79, 0.78, 0.78,
0.8, 0.69, 0.74, 0.78, 0.73, 0.68, 0.67, 0.56, 0.55, 0.56, 0.59,
0.58, 0.77, 0.75, 0.56, 0.6, 0.53, 0.51, 0.51, 0.51, 0.51, 0.52,
0.51, 0.51, 0.52, 0.52, 0.52, 0.52, 0.5, 0.34, 0.5, 0.5, 0.5,
0.77, 0.78, 0.55, 0.61, 0.54, 0.77, 0.05, 0.05, 0.05, 0.05, 0.05,
0.44, 0.51, 0.51, 0.5, 0.51, 0.19, 0.14, 0.28, 0.48, 0.43, 0.75,
0.9, 0.78, 0.8, 0.84, 0.9, 0.94, 0.94, 0.94, 0.98, 0.88, 0.88,
0.92, 0.78, 0.87, 0.85, 0.5, 0.66, 0.77, 0.9, 0.92, 0, 0.85,
0.74, 0.74, 0.84, 0.92, 0.89, 0.9, 0.86, 0.78, 0, 0.89, 0.91,
0.9, 0.75, 0.62), FDI = c(0.85, 0.79, 0.64, 0.8, 0.73, 0.81,
0.74, 0.7, 0.78, 0.77, 0.62, 0.65, 0.67, 0.79, 0.69, 0.69, 0.65,
0.7, 0.66, 0.71, 0.65, 0.37, 0.43, 0.39, 0.37, 0.44, 0.7, 0.66,
0.76, 0.78, 0.58, 0, 0.62, 0.72, 0.5, 0.01, 0.5, 0.54, 0.63,
0.66, 0.67, 0.59, 0.41, 0.43, 0.44, 0.41, 0.41, 0.46, 0.66, 0.69,
0.78, 0.19, 0, 0.71, 0.61, 0.51, 0.2, 0.59, 0.64, 0.56, 0.6,
0.62, 0.66, 0.86, 0.86, 0.62, 0.72, 0.62, 0.73, 0.74, 0.69, 0.64,
0.54, 0, 0.73, 0.74, 0.61, 0.67, 0.71, 0.5, 0.54, 0.73, 0.7,
0.62, 0.12, 0.13, 0.14, 0.15, 0.21, 0.22, 0.26, 0.25, 0.3, 0.27,
0.3, 0.27, 0.27, 0.26, 0.27, 0.26), GHGP = c(0.88, 0.92, 0.95,
0.96, 0.96, 0.96, 0.96, 0.97, 0.98, 0.94, 0.96, 0.97, 0.97, 0.96,
0.95, 0.95, 0.96, 0.95, 0.95, 0.94, 0.94, 0.39, 0.39, 0.53, 0.54,
0.57, 0.56, 0.61, 0.69, 0.73, 0.75, 0.58, 0.56, 0.56, 0.46, 0.46,
0.43, 0.44, 0.46, 0.44, 0.48, 0.44, 0.71, 0.71, 0.71, 0.67, 0.69,
0.68, 0.53, 0.61, 0.73, 0.69, 0.61, 0.56, 0.56, 0.56, 0.56, 0.5,
0.61, 0.53, 0.66, 0.56, 0.56, 0.69, 0.81, 0.77, 0.66, 0.71, 0.75,
0.81, 0.91, 0.94, 0.9, 0.95, 0.93, 0.95, 0.95, 0.95, 0.95, 0.96,
0.95, 0.95, 0.96, 0.95, 0.07, 0.06, 0.03, 0.03, 0.03, 0.04, 0.04,
0.04, 0.05, 0.05, 0.05, 0.05, 0.02, 0.02, 0.02, 0.02), ENERGY = c(0.99,
1, 1, 0.99, 0.99, 0.99, 0.99, 0.99, 0.99, 0.99, 0.99, 0.98, 0.99,
0.98, 0.96, 0.96, 0.96, 0.96, 0.97, 0.97, 0.96, 0.35, 0.35, 0.37,
0.37, 0.38, 0.57, 0.57, 0.55, 0.53, 0.52, 0.45, 0.51, 0.48, 0.43,
0.43, 0.37, 0.38, 0.37, 0.39, 0.35, 0.36, 0.63, 0.64, 0.63, 0.62,
0.65, 0.65, 0.66, 0.64, 0.61, 0.62, 0.58, 0.62, 0.56, 0.55, 0.55,
0.52, 0.54, 0.54, 0.53, 0.53, 0.52, 0.95, 0.95, 0.99, 0.99, 0.99,
0.99, 0.99, 0.99, 0.99, 0.99, 0.98, 0.99, 0.96, 0.96, 0.96, 0.96,
0.96, 0.92, 0.92, 0.93, 0.92, 0.03, 0.04, 0.04, 0.04, 0.04, 0.04,
0.05, 0.05, 0.05, 0.05, 0.04, 0.04, 0.05, 0.06, 0.06, 0.05),
CORBON = c(0.6, 0.6, 0.6, 0.6, 0.61, 0.62, 0.61, 0.63, 0.64,
0.64, 0.61, 0.6, 0.61, 0.59, 0.59, 0.58, 0.59, 0.58, 0.56,
0.56, 0.58, 0.55, 0.55, 0.56, 0.56, 0.56, 0.38, 0.39, 0.38,
0.36, 0.37, 0.35, 0.37, 0.33, 0.36, 0.35, 0.31, 0.31, 0.32,
0.33, 0.31, 0.34, 0.6, 0.6, 0.6, 0.6, 0.6, 0.61, 0.63, 0.63,
0.63, 0.64, 0.58, 0.62, 0.56, 0.53, 0.54, 0.48, 0.48, 0.53,
0.54, 0.53, 0.55, 0.88, 0.89, 0.88, 0.88, 0.88, 0.88, 0.88,
0.88, 0.89, 0.88, 0.86, 0.86, 0.87, 0.87, 0.87, 0.87, 0.87,
0.86, 0.86, 0.86, 0.85, 0.55, 0.55, 0.54, 0.54, 0.54, 0.55,
0.55, 0.55, 0.56, 0.56, 0.55, 0.56, 0.56, 0.57, 0.57, 0.56
), VA = c(0.76, 0.76, 0.77, 0.77, 0.77, 0.78, 0.78, 0.79,
0.79, 0.79, 0.79, 0.79, 0.79, 0.79, 0.79, 0.79, 0.79, 0.8,
0.8, 0.8, 0.8, 0.74, 0.72, 0.72, 0.72, 0.73, 0.56, 0.56,
0.56, 0.56, 0.56, 0.56, 0.56, 0.56, 0.56, 0.56, 0.55, 0.55,
0.56, 0.56, 0.55, 0.56, 0.73, 0.75, 0.75, 0.76, 0.81, 0.79,
0.6, 0.6, 0.6, 0.6, 0.59, 0.59, 0.59, 0.58, 0.58, 0.58, 0.58,
0.58, 0.58, 0.58, 0.58, 0.86, 0.87, 0.87, 0.87, 0.87, 0.87,
0.87, 0.87, 0.88, 0.87, 0.86, 0.86, 0.87, 0.87, 0.87, 0.87,
0.87, 0.87, 0.87, 0.88, 0.88, 0.27, 0.43, 0.49, 0.57, 0.54,
0.67, 0.7, 0.56, 0.57, 0.51, 0.51, 0.57, 0.55, 0.56, 0.58,
0.54), PS = c(0.77, 0.8, 0.79, 0.77, 0.79, 0.82, 0.82, 0.76,
0.75, 0.75, 0.76, 0.78, 0.79, 0.82, 0.79, 0.75, 0.75, 0.74,
0.76, 0.76, 0.69, 1, 0.47, 0.99, 1, 0.88, 0.81, 0.76, 0.75,
0.75, 0.75, 0.76, 0.78, 0.77, 0.79, 0.8, 0.76, 0.76, 0.73,
0.76, 0.77, 0.73, 0.97, 1, 1, 1, 0.49, 0.42, 0.78, 0.73,
0.75, 0.72, 0.74, 0.75, 0.73, 0.74, 0.75, 0.75, 0.76, 0.76,
0.73, 0.73, 0.72, 0.84, 0.83, 0.83, 0.82, 0.84, 0.88, 0.82,
0.78, 0.76, 0.77, 0.77, 0.74, 0.76, 0.79, 0.79, 0.77, 0.8,
0.79, 0.81, 0.82, 0.78, 0.16, 0.32, 0.46, 0.99, 0.44, 0.41,
0.48, 0.37, 0.28, 0.29, 0.36, 0.4, 0.3, 0.25, 0.26, 0.3),
GE = c(0.99, 1, 1, 1, 0.5, 0.82, 0.56, 0.78, 0.78, 0.85,
0.49, 0.56, 0.82, 0.95, 0.98, 0.98, 0.5, 0.98, 0.5, 0.9,
0.73, 0.92, 0.93, 0.93, 0.93, 0.94, 0.99, 1, 0.99, 1, 1,
1, 1, 1, 1, 1, 1, 1, 0.56, 0.98, 0.5, 0.56, 0.91, 0.88, 0.91,
0.94, 0.93, 0.93, 0.46, 0.49, 0.44, 0.37, 0.47, 0.47, 0.85,
0.73, 0.82, 0.41, 0.36, 0.29, 0.29, 0.27, 0.3, 0.85, 1, 1,
1, 0.99, 0.5, 0.48, 0.98, 0.96, 0.98, 1, 0.82, 0.99, 1, 0.99,
1, 1, 1, 0.99, 0.88, 0.94, 0.57, 0.51, 0.53, 0.56, 0.57,
0.59, 0.62, 0.45, 0.64, 0.54, 0.6, 0.62, 0.61, 0.63, 0.62,
0.53), CORR = c(0.87, 0.9, 0.89, 0.88, 0.91, 0.95, 0.9, 0.89,
0.92, 0.91, 0.89, 0.91, 0.89, 0.86, 0.87, 0.86, 0.83, 0.83,
0.82, 0.84, 0.83, 0.83, 0.81, 0.84, 0.88, 0.89, 0.93, 0.88,
0.92, 0.93, 0.91, 0.88, 0.92, 0.86, 0.84, 0.85, 0.84, 0.79,
0.81, 0.8, 0.8, 0.81, 0.51, 0.62, 0.62, 0.62, 0.56, 0.55,
0.89, 0.9, 0.86, 0.76, 0.85, 0.88, 0.9, 0.88, 0.89, 0.83,
0.83, 0.77, 0.67, 0.66, 0.58, 0.93, 0.93, 0.93, 0.93, 0.94,
0.94, 0.93, 0.94, 0.9, 0.91, 0.9, 0.91, 0.91, 0.91, 0.91,
0.9, 0.9, 0.9, 0.92, 0.88, 0.89, 0.5, 0.68, 0.66, 0.64, 0.43,
0.51, 0.59, 0.59, 0.54, 0.52, 0.52, 0.61, 0.64, 0.68, 0.65,
0.61), RULE = c(0.83, 0.86, 0.84, 0.81, 0.87, 0.91, 0.89,
0.89, 0.9, 0.91, 0.91, 0.91, 0.91, 0.9, 0.82, 0.85, 0.85,
0.82, 0.81, 0.82, 0.83, 0.89, 0.9, 0.91, 0.92, 0.91, 0.91,
0.88, 0.87, 0.9, 0.84, 0.78, 0.72, 0.63, 0.6, 0.68, 0.63,
0.63, 0.65, 0.65, 0.7, 0.67, 0.45, 0.51, 0.53, 0.54, 0.53,
0.51, 0.56, 0.5, 0.54, 0.55, 0.62, 0.63, 0.67, 0.7, 0.72,
0.66, 0.63, 0.68, 0.58, 0.6, 0.62, 0.91, 0.92, 0.91, 0.9,
0.88, 0.84, 0.86, 0.89, 0.9, 0.9, 0.92, 0.92, 0.89, 0.88,
0.86, 0.84, 0.85, 0.89, 0.86, 0.83, 0.8, 0.38, 0.48, 0.48,
0.48, 0.43, 0.42, 0.45, 0.43, 0.44, 0.45, 0.43, 0.46, 0.48,
0.49, 0.48, 0.55), RQ = c(0.88, 0.86, 0.87, 0.88, 0.91, 0.89,
0.85, 0.88, 0.87, 0.88, 0.86, 0.88, 0.86, 0.88, 0.88, 0.93,
0.89, 0.86, 0.81, 0.83, 0.84, 0.59, 0.71, 0.73, 0.76, 0.76,
0.9, 0.91, 0.93, 0.94, 0.93, 0.89, 0.89, 0.89, 0.92, 0.91,
0.94, 0.9, 0.88, 0.89, 0.91, 0.92, 0.32, 0.42, 0.46, 0.49,
0.52, 0.59, 0.48, 0.45, 0.52, 0.54, 0.58, 0.63, 0.64, 0.66,
0.67, 0.74, 0.67, 0.6, 0.52, 0.54, 0.54, 0.85, 0.83, 0.82,
0.82, 0.85, 0.84, 0.82, 0.89, 0.89, 0.89, 0.89, 0.89, 0.86,
0.88, 0.87, 0.93, 0.9, 0.89, 0.88, 0.86, 0.86, 0.62, 0.64,
0.6, 0.56, 0.57, 0.61, 0.55, 0.66, 0.72, 0.73, 0.67, 0.66,
0.67, 0.76, 0.71, 0.71)), row.names = c(NA, 100L), class = "data.frame")
##==========================================================================