diff --git a/config/plot_histogram_dV.json.empty b/config/plot_histogram_dV.json.empty
new file mode 100644
index 0000000..9d58053
--- /dev/null
+++ b/config/plot_histogram_dV.json.empty
@@ -0,0 +1,25 @@
+// Copyright (c) 2014-2016 Kartik Kumar, Dinamica Srl (me@kartikkumar.com)
+// Copyright (c) 2016 Enne Hekma, Delft University of Technology (ennehekma@gmail.com)
+// Distributed under the MIT License.
+// See accompanying file LICENSE.md or copy at http://opensource.org/licenses/MIT
+{
+    // Path to SQLite database containing scan data.
+    "database"                  : "",
+   
+    // Directory where scan figure is stored.
+    "output_directory"          : ".",
+
+    // The cutoff delta V.
+    "dV_cutoff"                 : 3,
+
+    // Number of bins used for histogram.
+    "bins"                      : 100,
+
+    // Filename for scan figure.
+    // Files are saved as png.
+    "scan_figure"               : "dv_histo",
+
+    // Set parameters for figures.
+    "figure_dpi"                : 300,
+    "colormap"                  : "jet"
+}
diff --git a/python/plot_histogram_dV.py b/python/plot_histogram_dV.py
new file mode 100644
index 0000000..bc1f280
--- /dev/null
+++ b/python/plot_histogram_dV.py
@@ -0,0 +1,126 @@
+'''
+Copyright (c) 2014-2016 Kartik Kumar, Dinamica Srl (me@kartikkumar.com)
+Copyright (c) 2014-2016 Abhishek Agrawal, Delft University of Technology (abhishek.agrawal@protonmail.com)
+Copyright (c) 2014-2016 Enne Hekma, Delft University of Technology (ennehekma@gmail.com)
+Distributed under the MIT License.
+See accompanying file LICENSE.md or copy at http://opensource.org/licenses/MIT
+'''
+
+# Set up modules and packages
+# Plotting
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+from matplotlib import rcParams
+from matplotlib import cm
+from mpl_toolkits.mplot3d import Axes3D
+from mpl_toolkits.mplot3d import axes3d
+import matplotlib.mlab as mlab
+
+# I/O
+import commentjson
+import json
+from pprint import pprint
+
+# SQL database
+import sqlite3
+
+# Numerical
+import numpy as np
+import pandas as pd
+from scipy.stats import norm
+
+# System
+import sys
+import time
+
+print ""
+print "---------------------------------------------------------------------------------"
+print "                               D2D                                               "
+print "                              0.0.2                                              "
+print "         Copyright (c) 2016, K. Kumar (me@kartikkumar.com)                       "
+print "         Copyright (c) 2016, A. Agrawal (abhishek.agrawal@protonmail.com)        "
+print "         Copyright (c) 2016, E.J. Hekma (ennehekma@gmail.com)                    "
+print "---------------------------------------------------------------------------------"
+print ""
+
+# Start timer.
+start_time = time.time( )
+
+print ""
+print "******************************************************************"
+print "                          Input parameters                        "
+print "******************************************************************"
+print ""
+
+# Parse JSON configuration file
+# Raise exception if wrong number of inputs are provided to script
+if len(sys.argv) != 2:
+    raise Exception("Only provide a JSON config file as input!")
+
+json_data = open(sys.argv[1])
+config = commentjson.load(json_data)
+json_data.close()
+pprint(config)
+
+print ""
+print "******************************************************************"
+print "                            Operations                            "
+print "******************************************************************"
+print ""
+
+print "Input data files being read ..."
+
+output_path_prefix = config["output_directory"] + '/'
+
+print "Fetching scan data from database ..."
+
+# Connect to SQLite database.
+try:
+    database = sqlite3.connect(config['database'])
+
+except sqlite3.Error, e:
+    print "Error %s:" % e.args[0]
+    sys.exit(1)
+
+# Fetch scan data.
+scan_data = pd.read_sql( "	SELECT transfer_delta_v 											  \
+							FROM lambert_scanner_results 										  \
+							WHERE transfer_delta_v < "+ str(config['dV_cutoff']) + ";",
+                              database )
+scan_data.columns = [ 'transfer_delta_v' ]
+
+# The histogram of the data
+x = scan_data[ 'transfer_delta_v']
+n, bins, patches = plt.hist( x, bins=config['bins'], facecolor='grey', alpha=0.75)
+
+# Figure properties
+cmap = config['colormap']
+plt.xlabel('Total dV magnitude [km/s]')
+plt.ylabel('Frequency')
+plt.ticklabel_format(style='sci', axis='y', scilimits=(0,0))
+plt.grid(True)
+
+# Save figure to file.
+plt.savefig(config["output_directory"] + "/" + config["scan_figure"] + ".png", 
+			dpi=config["figure_dpi"])
+plt.close()
+
+print "Figure generated successfully!"
+print ""
+
+# Close SQLite database if it's still open.
+if database:
+    database.close()
+
+# Stop timer
+end_time = time.time( )
+
+# Print elapsed time
+print "Script time: " + str("{:,g}".format(end_time - start_time)) + "s"
+
+print ""
+print "------------------------------------------------------------------"
+print "                         Exited successfully!                     "
+print "------------------------------------------------------------------"
+print ""