Circos plot with logfold change data:

I am new to circos plot analysis and have been trying to use the circlize package. I want to display mRNA differential gene expression data based on data analyses of 8 libraries and links between their respective target genes. The dataset I am working with looks like this

geneid  baseMean    log2FoldChange  lfcSE   stat    pvalue  padj    KDR1    KDR2    KDR3    Ago.1   Ago.2   Ago.3   Gene name
ENSDARG00000038147  2590.2  1.701675    0.067331    25.27333    6.28E-141   3.64E-137   3767.297    4087.186    4087.186    1265.112    1175.587    1158.831    hbbe3
ENSDARG00000067964  352.7761    2.195124    0.119682    18.34131    3.87E-75    6.74E-72    616.2616    573.3527    573.3527    102.8945    119.6455    131.1497    slc6a5.

I have thousands of genes and there are 8 libraries like this that will be adjusted based on adjusted p-values.

The R scripts I am using to do a somewhat closer plot is like this

library(circlize)
circos.par("track.height" = 0.1)
circos.initialize(df$sectors, x = df$x)
circos.track(df$sectors, y = df$y,
    panel.fun = function(x, y) {
        circos.text(CELL_META$xcenter, 
            CELL_META$cell.ylim[2] + mm_y(5), 
            CELL_META$sector.index)
        circos.axis(labels.cex = 0.6)
})
col = rep(c("#FF0000", "#00FF00"), 4)
circos.trackPoints(df$sectors, df$x, df$y, col = col, pch = 16, cex = 0.5)
circos.text(-1, 0.5, "text", sector.index = "a", track.index = 1)
bgcol = rep(c("#EFEFEF", "#CCCCCC"), 4)
circos.trackHist(df$sectors, df$x, bin.size = 0.2, bg.col = bgcol, col = NA)

after loading the dataframe. Yet I am far away to generate a plot like what is needed. I want to have a plot like this.

Any help will be useful.