diff --git a/MANIFEST.in b/MANIFEST.in
index 239115f..3235fd0 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -2,4 +2,3 @@ include COPYING
 include src/pcp2pdf.bash
 include src/pcp2pdf.conf
 include src/pcplogo.png
-include man/pcp2pdf.1
diff --git a/README.md b/README.md
index 77d36c8..a67b72b 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-This document is meant to give an introduction to `pcp2pdf`
+This document gives an introduction to `pcp2pdf`
 
 What is pcp2pdf for?
 ====================
@@ -8,13 +8,22 @@ The main goal of pcp2pdf is to create a visually pleasing report of a
 contain a bunch of metrics of a system and are usually created by the
 pmlogger service, which is part of `Performance Co-Pilot`.
 
+Prerequisites
+=============
+
+pcp2pdf is a python program and makes use of these 3rd party modules:
+
+-   [matplotlib](http://matplotlib.org/users/installing.html)
+-   [reportlab](http://www.reportlab.com/opensource/)
+
 Installation
 ============
+
 If you're using Fedora, you can use the packages found [here](http://acksyn.org/files/rpms/pcp2pdf/).
 Otherwise just use the following:
 
     ./setup.py install
-    pcp2pdf <arguments>
+    pcp2pdf --help
 
 Usage examples
 ==============
diff --git a/src/pcp2pdf.egg-info/SOURCES.txt b/src/pcp2pdf.egg-info/SOURCES.txt
index 5f5e95f..8452978 100644
--- a/src/pcp2pdf.egg-info/SOURCES.txt
+++ b/src/pcp2pdf.egg-info/SOURCES.txt
@@ -2,7 +2,6 @@ COPYING
 MANIFEST.in
 setup.cfg
 setup.py
-man/pcp2pdf.1
 src/pcp2pdf.bash
 src/pcp2pdf.conf
 src/pcplogo.png
diff --git a/src/pcp2pdf/archive.py b/src/pcp2pdf/archive.py
index b90b987..faba266 100644
--- a/src/pcp2pdf/archive.py
+++ b/src/pcp2pdf/archive.py
@@ -172,7 +172,6 @@ class PcpArchive(object):
         # indom_map is just used as an optimization. The keys are (numpmid,
         # numinst) and the value is the indom name. This avoids too many
         # expensive calls to pmNameInDomArchive.
-        # FIXME: is this guaranteed to never brake?
         indom_map = {}
         metrics = self.get_metrics()
         pmids = self.get_pmids(metrics)
@@ -209,7 +208,7 @@ class PcpArchive(object):
                 if metric not in data:
                     data[metric] = {}
                 count = result.contents.get_numval(i)
-                if count == 0:  # No instance whatsover
+                if count == 0:  # No instance whatsoever
                     continue
                 elif count == 1:  # No indoms are present
                     try: