Index: benchmark/plot.py
===================================================================
--- benchmark/plot.py	(revision ee0176bb7c6f63d353b1de882b1f80eab6f307e7)
+++ benchmark/plot.py	(revision e76fa3003c3ffe5f5b0e11de04c03878bb7e2849)
@@ -35,5 +35,5 @@
 	"Ops per procs"         : Field('Ops'   , 0, False),
 	"Ops per threads"       : Field('Ops'   , 0, False),
-	"ns per ops/procs"      : Field(''      , 0, False, _name = "Latency (ns $/$ (Processor $\\times$ Operation))" ),
+	"ns per ops/procs"      : Field(''      , 0, False, _name = "Latency ((ns $/$ Operation) $\\times$ Processor)" ),
 	"Number of threads"     : Field(''      , 1, False),
 	"Total Operations(ops)" : Field('Ops'   , 0, False),
@@ -45,5 +45,5 @@
 	"Target QPS"            : Field(''      , 0, False),
 	"Actual QPS"            : Field(''      , 0, False),
-	"Average Read Latency"  : Field('s'     , 0, True, _factor = 0.000001),
+	"Average Read Latency"  : Field('s'     , 0, False, _factor = 0.000001),
 	"Median Read Latency"   : Field('s'     , 0, True, _factor = 0.000001),
 	"Tail Read Latency"     : Field('s'     , 0, True, _factor = 0.000001),
@@ -51,7 +51,8 @@
 	"Median Update Latency" : Field('s'     , 0, True, _factor = 0.000001),
 	"Tail Update Latency"   : Field('s'     , 0, True, _factor = 0.000001),
-	"Update Ratio"          : Field('\%'    , 0, False),
+	"Update Ratio"          : Field('%'   , 0, False),
 	"Request Rate"          : Field('req/s' , 0, False),
 	"Data Rate"             : Field('b/s'   , 0, False, _factor = 1000 * 1000, _name = "Response Throughput"),
+	"Errors"                : Field('%'   , 0, False),
 }
 
Index: benchmark/process-trun.py
===================================================================
--- benchmark/process-trun.py	(revision ee0176bb7c6f63d353b1de882b1f80eab6f307e7)
+++ benchmark/process-trun.py	(revision e76fa3003c3ffe5f5b0e11de04c03878bb7e2849)
@@ -65,5 +65,5 @@
 			'ActRateC':     float(vals[16]),
 			'ActRate':      float(vals[17]),
-			'ErrRate':      float(vals[18]),
+			'Error Rate':   float(vals[18]),
 			'SamplesT':     float(vals[19]),
 			'SamplesR':     float(vals[20])
