diff --git a/scripts/data/nuc/bar.gnuplot b/scripts/data/nuc/bar.gnuplot
new file mode 100644
index 00000000..25c027bf
--- /dev/null
+++ b/scripts/data/nuc/bar.gnuplot
@@ -0,0 +1,36 @@
+set term pdfcairo fontscale 0.65 noenhanced
+! python pasteandrotate.py > gbps.txt
+set output "gbps.pdf"
+set boxwidth 0.8
+set style fill solid
+set ylabel "parsing speed (GB/s)"
+
+
+#set style line 80 lt rgb "#000000"
+
+# Line style for grid
+set style line 81 lt 0  # dashed
+set style line 81 lt rgb "#808080"  # grey
+
+set grid back linestyle 81
+set border 3 back linestyle 80 # Remove border on top and right.  These
+             # borders are useless and make it harder
+             # to see plotted lines near the border.
+    # Also, put it in grey; no need for so much emphasis on a border.
+set xtics nomirror
+set ytics nomirror
+
+set yrange [0:]
+set format y "%0.1f";
+set style data histogram
+set style histogram cluster gap 1
+
+#set style line 1 lt rgb "#A0A0A0" lw 1 pt 1 ps 1
+#set key autotitle columnhead
+
+color1 = "#ff0c18";color2 = "#000000"; color3 = "#0c24ff";
+set xtic rotate by 300 scale 1
+
+plot "gbps.txt" using 2:xtic(1)  title "simdjson" linecolor rgb color1, \
+"" using 3 title "RapidJSON" linecolor rgb color2, \
+"" using 4 title "sajson" linecolor rgb color3
diff --git a/scripts/data/nuc/gbps.pdf b/scripts/data/nuc/gbps.pdf
new file mode 100644
index 00000000..2f59f1d9
Binary files /dev/null and b/scripts/data/nuc/gbps.pdf differ
diff --git a/scripts/data/nuc/pasteandrotate.py b/scripts/data/nuc/pasteandrotate.py
new file mode 100644
index 00000000..71ba5cc8
--- /dev/null
+++ b/scripts/data/nuc/pasteandrotate.py
@@ -0,0 +1,18 @@
+import os
+import csv
+import pandas as pd
+
+def getdata(filename):
+    df = pd.read_csv(filename, delim_whitespace=True)
+    return (df["gb_per_s"].tolist())
+
+ourdir=os.path.dirname(os.path.realpath(__file__))
+answer = []
+for file in os.listdir(ourdir):
+    if file.endswith(".table"):
+        fullpath = os.path.join(ourdir, file)
+        answer.append([file[:-6]]+getdata(fullpath))
+print("#simdjson RapidJSON sajson")
+answer.sort()
+for l in answer:
+    print("\t".join(map(str,l)))
diff --git a/scripts/data/skylake/bar.gnuplot b/scripts/data/skylake/bar.gnuplot
new file mode 100644
index 00000000..25c027bf
--- /dev/null
+++ b/scripts/data/skylake/bar.gnuplot
@@ -0,0 +1,36 @@
+set term pdfcairo fontscale 0.65 noenhanced
+! python pasteandrotate.py > gbps.txt
+set output "gbps.pdf"
+set boxwidth 0.8
+set style fill solid
+set ylabel "parsing speed (GB/s)"
+
+
+#set style line 80 lt rgb "#000000"
+
+# Line style for grid
+set style line 81 lt 0  # dashed
+set style line 81 lt rgb "#808080"  # grey
+
+set grid back linestyle 81
+set border 3 back linestyle 80 # Remove border on top and right.  These
+             # borders are useless and make it harder
+             # to see plotted lines near the border.
+    # Also, put it in grey; no need for so much emphasis on a border.
+set xtics nomirror
+set ytics nomirror
+
+set yrange [0:]
+set format y "%0.1f";
+set style data histogram
+set style histogram cluster gap 1
+
+#set style line 1 lt rgb "#A0A0A0" lw 1 pt 1 ps 1
+#set key autotitle columnhead
+
+color1 = "#ff0c18";color2 = "#000000"; color3 = "#0c24ff";
+set xtic rotate by 300 scale 1
+
+plot "gbps.txt" using 2:xtic(1)  title "simdjson" linecolor rgb color1, \
+"" using 3 title "RapidJSON" linecolor rgb color2, \
+"" using 4 title "sajson" linecolor rgb color3
diff --git a/scripts/data/skylake/gbps.pdf b/scripts/data/skylake/gbps.pdf
new file mode 100644
index 00000000..1d658b1f
Binary files /dev/null and b/scripts/data/skylake/gbps.pdf differ
diff --git a/scripts/data/skylake/pasteandrotate.py b/scripts/data/skylake/pasteandrotate.py
new file mode 100644
index 00000000..71ba5cc8
--- /dev/null
+++ b/scripts/data/skylake/pasteandrotate.py
@@ -0,0 +1,18 @@
+import os
+import csv
+import pandas as pd
+
+def getdata(filename):
+    df = pd.read_csv(filename, delim_whitespace=True)
+    return (df["gb_per_s"].tolist())
+
+ourdir=os.path.dirname(os.path.realpath(__file__))
+answer = []
+for file in os.listdir(ourdir):
+    if file.endswith(".table"):
+        fullpath = os.path.join(ourdir, file)
+        answer.append([file[:-6]]+getdata(fullpath))
+print("#simdjson RapidJSON sajson")
+answer.sort()
+for l in answer:
+    print("\t".join(map(str,l)))