diff --git a/PaintingPandas.ipynb b/PaintingPandas.ipynb
index f3924a2ef3be1fb893f692cad72c5b0ec018594e..9a8cd8ff161c0e70457de353a97361c4a376c13e 100644
--- a/PaintingPandas.ipynb
+++ b/PaintingPandas.ipynb
@@ -1,7 +1,8 @@
 {
  "metadata": {
+  "celltoolbar": "Slideshow",
   "name": "",
-  "signature": "sha256:f4bfd304820a6c792a65b971256ff4c1e3c8c0b9201520c8d5bb56942f3b771f"
+  "signature": "sha256:e3a9c2db1ada7191abdcfbc0a9c2f98d21b831cf50379d3e2dab9393c30cb164"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -19,6 +20,8 @@
       "\n",
       "More on IPython and Python libraries making science peanuts..\n",
       "===\n",
+      "\n",
+      "Lecture by: Wai Yi Leung < <w.y.leung@lumc.nl> >\n",
       "\n"
      ]
     },
@@ -26,7 +29,7 @@
      "cell_type": "markdown",
      "metadata": {
       "slideshow": {
-       "slide_type": "subslide"
+       "slide_type": "fragment"
       }
      },
      "source": [
@@ -48,12 +51,95 @@
       "Pandas\n",
       "===\n",
       "\n",
-      "* The ultimate carpenters toolkit for bio-informaticians\n",
-      "* Functional programming for science\n",
-      "* ***Easy*** statistical analyses using Python\n",
-      "* Intuitive data mangling\n",
+      "* The ultimate carpenters toolkit for bio-informaticians"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "* Functional programming for science"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "* High level programming"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "* ***Easy*** statistical analyses using Python"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "* Intuitive data mangling"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "* Context based plotting and operations"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "source": [
+      "Basic concepts\n",
+      "===\n",
+      "\n",
+      "* List, Array's, Tuples\n",
+      "* Matrixes, series\n",
       "\n",
-      "\n"
+      "* Importing data\n",
+      "* Plotting\n",
+      "* Writing results"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "source": [
+      "Let's get started\n",
+      "===\n",
+      "\n",
+      "* Open a new iPython environment (top-right: New Notebook)\n"
      ]
     },
     {
@@ -65,7 +151,11 @@
       "%pylab inline\n",
       "\n",
       "from pandas import DataFrame, read_csv\n",
-      "import matplotlib.pyplot as plt\n"
+      "import matplotlib.pyplot as plt\n",
+      "\n",
+      "import matplotlib\n",
+      "font = {'family' : 'sans-serif'}\n",
+      "matplotlib.rc('font', **font)"
      ],
      "language": "python",
      "metadata": {
@@ -82,7 +172,7 @@
        ]
       }
      ],
-     "prompt_number": 2
+     "prompt_number": 1
     },
     {
      "cell_type": "markdown",
@@ -92,10 +182,10 @@
       }
      },
      "source": [
-      "Learn by example\n",
+      "Learn by practice\n",
       "===\n",
       "\n",
-      "Live demo,"
+      "Live demo, we will walk you through with a few basic commands from Pandas"
      ]
     },
     {
@@ -103,30 +193,55 @@
      "collapsed": false,
      "input": [
       "# Sample dataset\n",
-      "participants = ['Anthony', 'Berend', 'Christine', 'Don', 'Esther', \n",
-      "                'Fer', 'Ginny', 'Hendrik', 'Ivo', 'John', 'Karl', \n",
-      "                'Lotte', 'Marjolijn', 'Nanda']\n",
-      "grades = [70, 65, 81, 73, 85, 45, 70, 60, 14, 64, 72, 75, 92, 84]\n",
-      "sex = ['M','M','F','M','F','M','F','M','M','M','M', 'F', 'F', 'F']\n",
-      "university = ['AU', 'NL', 'NL', 'AU', 'DE', 'DE', 'NL', 'NL', 'NL', 'AU', 'DE', 'NL', 'NL', 'AU']\n",
-      "\n",
-      "\n",
+      "participants = ['Andrew', 'Bruno', 'Christine', 'Don', 'Esther', \n",
+      "                'Frans', 'Ginny', 'Hendrik', 'Ivar', 'John', 'Karl', \n",
+      "                'Lotte', 'Marjolijn', 'Nora', 'Olivia', 'Paula', 'Quinta', 'Renatta']\n",
+      "grades = [70, 65, 81, 73, 85, 35, 62, 60, 14, 64, 72, 75, 92, 84, 67, 72, 85, 82]\n",
+      "sex = ['M','M','F','M','F','M','F','M','M','M','M', 'F', 'F', 'F', 'F', 'F', 'F', 'F']\n",
+      "university = ['AU', 'NL', 'NL', 'AU', 'DE', 'DE', 'NL', 'NL', 'DE', 'AU', 'DE', 'NL', 'NL', 'AU', 'AU', 'DE', 'AU', 'DE']"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "The dataset is in Python Lists, it doesnt' have a good structure yet.\n"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "# We could merge it\n",
       "courseResults = zip(participants, grades)\n",
       "partipants_info = zip(participants, grades, sex, university)"
      ],
      "language": "python",
      "metadata": {
       "slideshow": {
-       "slide_type": "slide"
+       "slide_type": "fragment"
       }
      },
      "outputs": [],
-     "prompt_number": 158
+     "prompt_number": 3
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "# This is a 'Python' List( tuple(), tuple(), tuple() )\n",
       "courseResults"
      ],
      "language": "python",
@@ -139,31 +254,36 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 159,
+       "prompt_number": 4,
        "text": [
-        "[('Anthony', 70),\n",
-        " ('Berend', 65),\n",
+        "[('Andrew', 70),\n",
+        " ('Bruno', 65),\n",
         " ('Christine', 81),\n",
         " ('Don', 73),\n",
         " ('Esther', 85),\n",
-        " ('Fer', 45),\n",
-        " ('Ginny', 70),\n",
+        " ('Frans', 35),\n",
+        " ('Ginny', 62),\n",
         " ('Hendrik', 60),\n",
-        " ('Ivo', 14),\n",
+        " ('Ivar', 14),\n",
         " ('John', 64),\n",
         " ('Karl', 72),\n",
         " ('Lotte', 75),\n",
         " ('Marjolijn', 92),\n",
-        " ('Nanda', 84)]"
+        " ('Nora', 84),\n",
+        " ('Olivia', 67),\n",
+        " ('Paula', 72),\n",
+        " ('Quinta', 85),\n",
+        " ('Renatta', 82)]"
        ]
       }
      ],
-     "prompt_number": 159
+     "prompt_number": 4
     },
     {
      "cell_type": "code",
      "collapsed": true,
      "input": [
+      "# Some more information in the tuples\n",
       "partipants_info"
      ],
      "language": "python",
@@ -176,26 +296,78 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 160,
+       "prompt_number": 5,
        "text": [
-        "[('Anthony', 70, 'M', 'AU'),\n",
-        " ('Berend', 65, 'M', 'NL'),\n",
+        "[('Andrew', 70, 'M', 'AU'),\n",
+        " ('Bruno', 65, 'M', 'NL'),\n",
         " ('Christine', 81, 'F', 'NL'),\n",
         " ('Don', 73, 'M', 'AU'),\n",
         " ('Esther', 85, 'F', 'DE'),\n",
-        " ('Fer', 45, 'M', 'DE'),\n",
-        " ('Ginny', 70, 'F', 'NL'),\n",
+        " ('Frans', 35, 'M', 'DE'),\n",
+        " ('Ginny', 62, 'F', 'NL'),\n",
         " ('Hendrik', 60, 'M', 'NL'),\n",
-        " ('Ivo', 14, 'M', 'NL'),\n",
+        " ('Ivar', 14, 'M', 'DE'),\n",
         " ('John', 64, 'M', 'AU'),\n",
         " ('Karl', 72, 'M', 'DE'),\n",
         " ('Lotte', 75, 'F', 'NL'),\n",
         " ('Marjolijn', 92, 'F', 'NL'),\n",
-        " ('Nanda', 84, 'F', 'AU')]"
+        " ('Nora', 84, 'F', 'AU'),\n",
+        " ('Olivia', 67, 'F', 'AU'),\n",
+        " ('Paula', 72, 'F', 'DE'),\n",
+        " ('Quinta', 85, 'F', 'AU'),\n",
+        " ('Renatta', 82, 'F', 'DE')]"
        ]
       }
      ],
-     "prompt_number": 160
+     "prompt_number": 5
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "However, do you still know what the n-th column is representing after 1 year?\n",
+      "---"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "source": [
+      "Pandas, DataFrame and more structures\n",
+      "===\n",
+      "\n",
+      "* Data representation and datastructures with high similarity to Cran-R objects"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "* Not only storing values"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "source": [
+      "* For free: context based functions!"
+     ]
     },
     {
      "cell_type": "code",
@@ -225,13 +397,13 @@
         "  </thead>\n",
         "  <tbody>\n",
         "    <tr>\n",
-        "      <th>Anthony</th>\n",
+        "      <th>Andrew</th>\n",
         "      <td> 70</td>\n",
         "      <td> M</td>\n",
         "      <td> AU</td>\n",
         "    </tr>\n",
         "    <tr>\n",
-        "      <th>Berend</th>\n",
+        "      <th>Bruno</th>\n",
         "      <td> 65</td>\n",
         "      <td> M</td>\n",
         "      <td> NL</td>\n",
@@ -255,14 +427,14 @@
         "      <td> DE</td>\n",
         "    </tr>\n",
         "    <tr>\n",
-        "      <th>Fer</th>\n",
-        "      <td> 45</td>\n",
+        "      <th>Frans</th>\n",
+        "      <td> 35</td>\n",
         "      <td> M</td>\n",
         "      <td> DE</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>Ginny</th>\n",
-        "      <td> 70</td>\n",
+        "      <td> 62</td>\n",
         "      <td> F</td>\n",
         "      <td> NL</td>\n",
         "    </tr>\n",
@@ -273,10 +445,10 @@
         "      <td> NL</td>\n",
         "    </tr>\n",
         "    <tr>\n",
-        "      <th>Ivo</th>\n",
+        "      <th>Ivar</th>\n",
         "      <td> 14</td>\n",
         "      <td> M</td>\n",
-        "      <td> NL</td>\n",
+        "      <td> DE</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>John</th>\n",
@@ -303,38 +475,66 @@
         "      <td> NL</td>\n",
         "    </tr>\n",
         "    <tr>\n",
-        "      <th>Nanda</th>\n",
+        "      <th>Nora</th>\n",
         "      <td> 84</td>\n",
         "      <td> F</td>\n",
         "      <td> AU</td>\n",
         "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Olivia</th>\n",
+        "      <td> 67</td>\n",
+        "      <td> F</td>\n",
+        "      <td> AU</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Paula</th>\n",
+        "      <td> 72</td>\n",
+        "      <td> F</td>\n",
+        "      <td> DE</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Quinta</th>\n",
+        "      <td> 85</td>\n",
+        "      <td> F</td>\n",
+        "      <td> AU</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Renatta</th>\n",
+        "      <td> 82</td>\n",
+        "      <td> F</td>\n",
+        "      <td> DE</td>\n",
+        "    </tr>\n",
         "  </tbody>\n",
         "</table>\n",
         "</div>"
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 161,
+       "prompt_number": 6,
        "text": [
         "           Grade Sex University\n",
-        "Anthony       70   M         AU\n",
-        "Berend        65   M         NL\n",
+        "Andrew        70   M         AU\n",
+        "Bruno         65   M         NL\n",
         "Christine     81   F         NL\n",
         "Don           73   M         AU\n",
         "Esther        85   F         DE\n",
-        "Fer           45   M         DE\n",
-        "Ginny         70   F         NL\n",
+        "Frans         35   M         DE\n",
+        "Ginny         62   F         NL\n",
         "Hendrik       60   M         NL\n",
-        "Ivo           14   M         NL\n",
+        "Ivar          14   M         DE\n",
         "John          64   M         AU\n",
         "Karl          72   M         DE\n",
         "Lotte         75   F         NL\n",
         "Marjolijn     92   F         NL\n",
-        "Nanda         84   F         AU"
+        "Nora          84   F         AU\n",
+        "Olivia        67   F         AU\n",
+        "Paula         72   F         DE\n",
+        "Quinta        85   F         AU\n",
+        "Renatta       82   F         DE"
        ]
       }
      ],
-     "prompt_number": 161
+     "prompt_number": 6
     },
     {
      "cell_type": "code",
@@ -365,15 +565,15 @@
         "  <tbody>\n",
         "    <tr>\n",
         "      <th>count</th>\n",
-        "      <td> 14.000000</td>\n",
+        "      <td> 18.000000</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>mean</th>\n",
-        "      <td> 67.857143</td>\n",
+        "      <td> 68.777778</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>std</th>\n",
-        "      <td> 19.457477</td>\n",
+        "      <td> 18.794729</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>min</th>\n",
@@ -385,11 +585,11 @@
         "    </tr>\n",
         "    <tr>\n",
         "      <th>50%</th>\n",
-        "      <td> 71.000000</td>\n",
+        "      <td> 72.000000</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>75%</th>\n",
-        "      <td> 79.500000</td>\n",
+        "      <td> 81.750000</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>max</th>\n",
@@ -401,29 +601,44 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 162,
+       "prompt_number": 7,
        "text": [
         "           Grade\n",
-        "count  14.000000\n",
-        "mean   67.857143\n",
-        "std    19.457477\n",
+        "count  18.000000\n",
+        "mean   68.777778\n",
+        "std    18.794729\n",
         "min    14.000000\n",
         "25%    64.250000\n",
-        "50%    71.000000\n",
-        "75%    79.500000\n",
+        "50%    72.000000\n",
+        "75%    81.750000\n",
         "max    92.000000"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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N7c51SXZpOQWhc62ISNXpvDTlpfORi0jVJRIr6Om5Psd4dUnOR9fsFBGn6Bwp5aWG3HKx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\nAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x749f350>"
+        "<matplotlib.figure.Figure at 0x21c6510>"
        ]
       }
      ],
-     "prompt_number": 162
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "subslide"
+      }
+     },
+     "source": [
+      "Define groups\n",
+      "---\n",
+      "\n",
+      "* Lets group by University (NL, DE, AU)\n",
+      "* We can do multiple grouping"
+     ]
     },
     {
      "cell_type": "code",
@@ -434,20 +649,24 @@
      "language": "python",
      "metadata": {
       "slideshow": {
-       "slide_type": "slide"
+       "slide_type": "fragment"
       }
      },
      "outputs": [],
-     "prompt_number": 163
+     "prompt_number": 8
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "df['Lower'] = groupGrades['Grade'].transform( lambda x: x.quantile(q=.25) - (1.2*x.quantile(q=.75)-x.quantile(q=.25)) )\n",
-      "df['Upper'] = groupGrades['Grade'].transform( lambda x: x.quantile(q=.75) + (1.2*x.quantile(q=.75)-x.quantile(q=.25)) )\n",
-      "df['Outlier'] = (df['Grade'] < df['Lower']) | (df['Grade'] > df['Upper']) \n",
-      "df\n"
+      "#df['Lower'] = groupGrades['Grade'].transform( lambda x: x.quantile(q=.25) - (1.5*x.quantile(q=.75)-x.quantile(q=.25)) )\n",
+      "#df['Upper'] = groupGrades['Grade'].transform( lambda x: x.quantile(q=.75) + (1.5*x.quantile(q=.75)-x.quantile(q=.25)) )\n",
+      "#df['Outlier'] = (df['Grade'] < df['Lower']) | (df['Grade'] > df['Upper'])\n",
+      "\n",
+      "df['Low'] = groupGrades['Grade'].transform( lambda x: df['Grade'].mean()-2*df['Grade'].std() )\n",
+      "df['Up'] = groupGrades['Grade'].transform( lambda x: df['Grade'].mean()+2*df['Grade'].std() )\n",
+      "df['Outlier'] = (df['Grade'] < df['Low']) | (df['Grade'] > df['Up'])\n",
+      "df"
      ],
      "language": "python",
      "metadata": {
@@ -466,28 +685,28 @@
         "      <th>Grade</th>\n",
         "      <th>Sex</th>\n",
         "      <th>University</th>\n",
-        "      <th>Lower</th>\n",
-        "      <th>Upper</th>\n",
+        "      <th>Low</th>\n",
+        "      <th>Up</th>\n",
         "      <th>Outlier</th>\n",
         "    </tr>\n",
         "  </thead>\n",
         "  <tbody>\n",
         "    <tr>\n",
-        "      <th>Anthony</th>\n",
+        "      <th>Andrew</th>\n",
         "      <td> 70</td>\n",
         "      <td> M</td>\n",
         "      <td> AU</td>\n",
-        "      <td> 46.1</td>\n",
-        "      <td>  98.15</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
-        "      <th>Berend</th>\n",
+        "      <th>Bruno</th>\n",
         "      <td> 65</td>\n",
         "      <td> M</td>\n",
         "      <td> NL</td>\n",
-        "      <td> 31.4</td>\n",
-        "      <td> 109.10</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
@@ -495,8 +714,8 @@
         "      <td> 81</td>\n",
         "      <td> F</td>\n",
         "      <td> NL</td>\n",
-        "      <td> 31.4</td>\n",
-        "      <td> 109.10</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
@@ -504,8 +723,8 @@
         "      <td> 73</td>\n",
         "      <td> M</td>\n",
         "      <td> AU</td>\n",
-        "      <td> 46.1</td>\n",
-        "      <td>  98.15</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
@@ -513,26 +732,26 @@
         "      <td> 85</td>\n",
         "      <td> F</td>\n",
         "      <td> DE</td>\n",
-        "      <td> 22.8</td>\n",
-        "      <td> 114.20</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
-        "      <th>Fer</th>\n",
-        "      <td> 45</td>\n",
+        "      <th>Frans</th>\n",
+        "      <td> 35</td>\n",
         "      <td> M</td>\n",
         "      <td> DE</td>\n",
-        "      <td> 22.8</td>\n",
-        "      <td> 114.20</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
         "      <th>Ginny</th>\n",
-        "      <td> 70</td>\n",
+        "      <td> 62</td>\n",
         "      <td> F</td>\n",
         "      <td> NL</td>\n",
-        "      <td> 31.4</td>\n",
-        "      <td> 109.10</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
@@ -540,17 +759,17 @@
         "      <td> 60</td>\n",
         "      <td> M</td>\n",
         "      <td> NL</td>\n",
-        "      <td> 31.4</td>\n",
-        "      <td> 109.10</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
-        "      <th>Ivo</th>\n",
+        "      <th>Ivar</th>\n",
         "      <td> 14</td>\n",
         "      <td> M</td>\n",
-        "      <td> NL</td>\n",
-        "      <td> 31.4</td>\n",
-        "      <td> 109.10</td>\n",
+        "      <td> DE</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td>  True</td>\n",
         "    </tr>\n",
         "    <tr>\n",
@@ -558,8 +777,8 @@
         "      <td> 64</td>\n",
         "      <td> M</td>\n",
         "      <td> AU</td>\n",
-        "      <td> 46.1</td>\n",
-        "      <td>  98.15</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
@@ -567,8 +786,8 @@
         "      <td> 72</td>\n",
         "      <td> M</td>\n",
         "      <td> DE</td>\n",
-        "      <td> 22.8</td>\n",
-        "      <td> 114.20</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
@@ -576,8 +795,8 @@
         "      <td> 75</td>\n",
         "      <td> F</td>\n",
         "      <td> NL</td>\n",
-        "      <td> 31.4</td>\n",
-        "      <td> 109.10</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
@@ -585,17 +804,53 @@
         "      <td> 92</td>\n",
         "      <td> F</td>\n",
         "      <td> NL</td>\n",
-        "      <td> 31.4</td>\n",
-        "      <td> 109.10</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "    <tr>\n",
-        "      <th>Nanda</th>\n",
+        "      <th>Nora</th>\n",
         "      <td> 84</td>\n",
         "      <td> F</td>\n",
         "      <td> AU</td>\n",
-        "      <td> 46.1</td>\n",
-        "      <td>  98.15</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
+        "      <td> False</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Olivia</th>\n",
+        "      <td> 67</td>\n",
+        "      <td> F</td>\n",
+        "      <td> AU</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
+        "      <td> False</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Paula</th>\n",
+        "      <td> 72</td>\n",
+        "      <td> F</td>\n",
+        "      <td> DE</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
+        "      <td> False</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Quinta</th>\n",
+        "      <td> 85</td>\n",
+        "      <td> F</td>\n",
+        "      <td> AU</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
+        "      <td> False</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>Renatta</th>\n",
+        "      <td> 82</td>\n",
+        "      <td> F</td>\n",
+        "      <td> DE</td>\n",
+        "      <td> 31.18832</td>\n",
+        "      <td> 106.367235</td>\n",
         "      <td> False</td>\n",
         "    </tr>\n",
         "  </tbody>\n",
@@ -604,27 +859,31 @@
        ],
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 164,
+       "prompt_number": 9,
        "text": [
-        "           Grade Sex University  Lower   Upper Outlier\n",
-        "Anthony       70   M         AU   46.1   98.15   False\n",
-        "Berend        65   M         NL   31.4  109.10   False\n",
-        "Christine     81   F         NL   31.4  109.10   False\n",
-        "Don           73   M         AU   46.1   98.15   False\n",
-        "Esther        85   F         DE   22.8  114.20   False\n",
-        "Fer           45   M         DE   22.8  114.20   False\n",
-        "Ginny         70   F         NL   31.4  109.10   False\n",
-        "Hendrik       60   M         NL   31.4  109.10   False\n",
-        "Ivo           14   M         NL   31.4  109.10    True\n",
-        "John          64   M         AU   46.1   98.15   False\n",
-        "Karl          72   M         DE   22.8  114.20   False\n",
-        "Lotte         75   F         NL   31.4  109.10   False\n",
-        "Marjolijn     92   F         NL   31.4  109.10   False\n",
-        "Nanda         84   F         AU   46.1   98.15   False"
+        "           Grade Sex University       Low          Up Outlier\n",
+        "Andrew        70   M         AU  31.18832  106.367235   False\n",
+        "Bruno         65   M         NL  31.18832  106.367235   False\n",
+        "Christine     81   F         NL  31.18832  106.367235   False\n",
+        "Don           73   M         AU  31.18832  106.367235   False\n",
+        "Esther        85   F         DE  31.18832  106.367235   False\n",
+        "Frans         35   M         DE  31.18832  106.367235   False\n",
+        "Ginny         62   F         NL  31.18832  106.367235   False\n",
+        "Hendrik       60   M         NL  31.18832  106.367235   False\n",
+        "Ivar          14   M         DE  31.18832  106.367235    True\n",
+        "John          64   M         AU  31.18832  106.367235   False\n",
+        "Karl          72   M         DE  31.18832  106.367235   False\n",
+        "Lotte         75   F         NL  31.18832  106.367235   False\n",
+        "Marjolijn     92   F         NL  31.18832  106.367235   False\n",
+        "Nora          84   F         AU  31.18832  106.367235   False\n",
+        "Olivia        67   F         AU  31.18832  106.367235   False\n",
+        "Paula         72   F         DE  31.18832  106.367235   False\n",
+        "Quinta        85   F         AU  31.18832  106.367235   False\n",
+        "Renatta       82   F         DE  31.18832  106.367235   False"
        ]
       }
      ],
-     "prompt_number": 164
+     "prompt_number": 9
     },
     {
      "cell_type": "code",
@@ -642,21 +901,21 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 165,
+       "prompt_number": 10,
        "text": [
-        "<matplotlib.axes.AxesSubplot at 0xb1b24d0>"
+        "<matplotlib.axes.AxesSubplot at 0x3c5e1d0>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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zLu4a8krAGeBL4DdgOtIjLwWcth1z2rYdUFjdz+aO/oIFJZRv5Urj9YDMIh06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\nB/GHTdM7Lmixk5eUPvJRHmi06/ocqdffkEfVKYh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l0b59e5KTk2nSpAn33Xcff/zxh6l909LS+OyzzwJ+v3jxYgZGcuB+E0ggN3Di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\n",
        "text": [
-        "<matplotlib.figure.Figure at 0xaa14a50>"
+        "<matplotlib.figure.Figure at 0x214ad50>"
        ]
       }
      ],
-     "prompt_number": 165
+     "prompt_number": 10
     },
     {
      "cell_type": "markdown",
@@ -669,7 +928,12 @@
       "So, what does this mean?\n",
       "===\n",
       "\n",
-      "Let's grind the dataset a little bit more..."
+      "Let's grind the dataset a little bit more... by visualisation.\n",
+      "We can use:\n",
+      "\n",
+      "* Boxplot\n",
+      "* Time series plotting\n",
+      "* Line splots etc.."
      ]
     },
     {
@@ -688,27 +952,27 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 166,
+       "prompt_number": 11,
        "text": [
-        "<matplotlib.axes.AxesSubplot at 0xb194750>"
+        "<matplotlib.axes.AxesSubplot at 0x3c6ff50>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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gD2C39N5fJgI+RB9LfwW8J73/o03v37z3fhXwCmLj8BbsAVILyKCvvNvCzG6s\n9wR+3lCuBefHaX10+x3gD4C9iEFxahuJEWLPv9Z//jOIjrsghlasuZzYi/8VcB3R3fZcHgHWEWMr\n/zHw2TbLSz1j0Ffe/RL4GfVAOwqcQOTJ56sKXEOkcm4nemAEWMv0ATgOobX9iZTQRcQRwcFNf3+I\nOEpo9EkiLXQjMeC6tCAM+iqCNwHvJ9Iw64kTrbONajXbANlXEEPrXdEw7yzgBcTJ2e8DfzbLa08h\numPeSJzU/XTTMrcQRxkV6lcM3UwE++bUjqOrSVKTMfJ/4nMf4mqiZhN4nb4kTbMvMfDFzYOuSIfe\nRNT/5Kb5pxJHFJcueI0kSZIkSZIkSZIkSZIkSZIk9cr/B/pLBR0PQuNrAAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0xac5c150>"
+        "<matplotlib.figure.Figure at 0x3c564d0>"
        ]
       }
      ],
-     "prompt_number": 166
+     "prompt_number": 11
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "df.boxplot(column=['Grade'], by=['Sex'])"
+      "df.boxplot(column=['Grade'], by=['Sex', 'University'])"
      ],
      "language": "python",
      "metadata": {
@@ -720,48 +984,227 @@
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 167,
+       "prompt_number": 12,
        "text": [
-        "<matplotlib.axes.AxesSubplot at 0xb5a9590>"
+        "<matplotlib.axes.AxesSubplot at 0x3c59450>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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HmZiYAOIPKM/pZrOZ+v3QoNHItzw+bS/+QQ7H9prN5kDKV/Z0xJfyFDUdwveZpf6Zy++l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\nq4YAAAAASUVORK5CYII=\n",
        "text": [
-        "<matplotlib.figure.Figure at 0xb5acd10>"
+        "<matplotlib.figure.Figure at 0x4031f90>"
        ]
       }
      ],
-     "prompt_number": 167
+     "prompt_number": 12
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "\n",
       "type(groupGrades)"
      ],
      "language": "python",
-     "metadata": {},
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
      "outputs": [
       {
        "metadata": {},
        "output_type": "pyout",
-       "prompt_number": 209,
+       "prompt_number": 13,
        "text": [
         "pandas.core.groupby.DataFrameGroupBy"
        ]
       }
      ],
-     "prompt_number": 209
+     "prompt_number": 13
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "fig, ax = plt.subplots(nrows=2, ncols=3, sharey=True)\n",
+      "for i, (group, data) in enumerate(groupGrades):\n",
+      "    #ax.get_xaxis().set_visible(False) # hide ticks\n",
+      "    ax[0,i].set_visible(False) # hide ticks\n",
+      "    data.plot( ax=ax[0,i], style='-', table=True, secondary_y=['Outlier'], mark_right=False )"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "skip"
+      }
+     },
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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+       "text": [
+        "<matplotlib.figure.Figure at 0x43c9fd0>"
+       ]
+      }
+     ],
+     "prompt_number": 14
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "for group, data in groupGrades:\n",
+      "    fig, ax = plt.subplots(1, 1)\n",
+      "    ax.get_xaxis().set_visible(False) # hide ticks\n",
+      "    data.plot( style='-', table=True, ax = ax, secondary_y=['Outlier'], mark_right=False )"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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LUWISERFL8fZceSU6/1RZmM9K8fkvxee/7BwbaK48dxr8UASKz78p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\nERERKSn/H4kGl1DjSWwNAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x4753050>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Pny7+msViUd555x2lTZs2yo033lhum4t+nmOOH1fmnDrlmB+EG5kxQ1EGDiz9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\nQgghhBBCCCGEEEIIIYQQQgghhDv7/+w4rLK0qi0zAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x474ced0>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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duzYTJ06kWrVq1K1bl/nz51vYOxEJcp5UE68F/JhvO821D0yASgN2evqGdqlg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\nQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x51357d0>"
+       ]
+      }
+     ],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "# Abbandon the boring colors, lets use seaborn to spice up the plots\n",
+      "# Kudos for Martijn Vermaat pointing me at this :)\n",
+      "\n",
+      "import seaborn as sns\n",
+      "import numpy as np\n",
+      "sns.set(font=\"Bitstream Vera Sans\")\n",
+      "np.random.seed(sum(map(ord, \"palettes\")))\n",
       "\n",
+      "current_palette = sns.color_palette()\n",
+      "current_palette"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 16,
+       "text": [
+        "[(0.2980392156862745, 0.4470588235294118, 0.6901960784313725),\n",
+        " (0.3333333333333333, 0.6588235294117647, 0.40784313725490196),\n",
+        " (0.7686274509803922, 0.3058823529411765, 0.3215686274509804),\n",
+        " (0.5058823529411764, 0.4470588235294118, 0.6980392156862745),\n",
+        " (0.8, 0.7254901960784313, 0.4549019607843137),\n",
+        " (0.39215686274509803, 0.7098039215686275, 0.803921568627451)]"
+       ]
+      }
+     ],
+     "prompt_number": 16
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "sns.palplot(current_palette)"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABGCAYAAABv7kdbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAAWJJREFUeJzt1LEqhnEYh+E/H07IaLdIBsURGMxfVoNVZosToAxSBruR\n8yHFCcjkvV9xXevTU7/pHgMAAAAAAAAAAIB/YuW74+vb+8fG+qLaAvAnHD28jKudzS/7uvbd48b6\nYuwu76ZZ9QvcX+yNg+vjuWdM5ubwcjzt7c89YzJbd7fjbHk/94xJnF7sjufHk7lnTGZz+3wcPbzM\nPWMWq3MPAPhPRBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKERBcgJLoAIdEFCIkuQEh0AUKiCxAS\nXYCQ6AKERBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKERBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ\n6AKERBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKERBcgJLoAIdEFCIkuQEh0AUKiCxASXYCQ6AKE\nRBcgJLoAIdEFCIkuQEh0AQAAAAAAAAAAAODnfQJIFRhpONwtPAAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x428b250>"
+       ]
+      }
+     ],
+     "prompt_number": 17
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "source": [
+      "The same boxplot from before using Matplotlib, now with seaborn\n",
+      "---"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "sns.factorplot(\"Sex\", \"Grade\", hue=\"University\", data=df, kind=\"box\", palette=current_palette)"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 18,
+       "text": [
+        "<seaborn.axisgrid.FacetGrid at 0x428b250>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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D+yPilMzcExErgIF6O8+2RdQkqZ21U8/kNmBD8XgDcGuFtUiSJqGSv+4j4kbg\nAmAJtfMj7wE+A9wMrMRLgyVJkiRJkiRJkiRJHcbLa2eoiBgDHpiw6S2ZuauqetS5IuIw8MnMfEfx\nvBv4NnB3Zr650uLUNtppnomaa39mnll1EZoRngTOiIh5mXkAeD2wGycWa4J2mmciqX19ntpK3wBv\nBW7EkQ1NYJjMXCdGxH3F1y1VF6OOdxNwaUQ8B3gZsKPietRmHOaaub7nMJeaJTO/EhGnU+uVfK7i\nctSGDBNJjboN+J/UVq9YWnEtajMOc0lq1PXAezPzwaoLUfuxZzJzeaWNmmUcIDMfA/5swjZ/xyRJ\nkiRJkiRJkiRJkiRJkiRpZnGhNs0KEfGfgKuo/c7PA/4tM99WbVWSpI4RESsiYiAiTp2w7RVV1iTN\nNM6A12xwCjAK7DuyITPvB4iI1cDVQG/x0nsy8/MR8QfAmZn5MxExn9oque/KzH9sbelSZ3CYSzNe\nRMwBPg2cB2wF7gQ+ARwGvgRclJl7ImIFcA9wBvAE8I/AZ4FXAgOZeWXrq5c6g2GiWSMizqC24u3F\nwEuBdwEfAXZO2G0x8FOZ+W8RsRT49+L18zLzcEsLljqIw1yaNYrVbh8EPhIRD1L7Y+qBzLzgGG95\nATAGLATmA99tSaFSB3IJes14EfHciDhnwvPTqN2P46vAiyJi3YTXXl18XwT8NfBzwM3Ada2sWeo0\nDnNpxouIldTCYBXwPWp/RP1ZZl4XET8G/BGwCJgLPAKsB24B7snMayLiBGALcGNmfrSKn0GSJEmS\nJEmSJEmSJEmSJEmSJEmSJEmaFf4/sZW/6sGBRWYAAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x4b13f10>"
+       ]
+      }
+     ],
+     "prompt_number": 18
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
       "for group, data in groupGrades:\n",
       "    fig, ax = plt.subplots(1, 1)\n",
       "    ax.get_xaxis().set_visible(False) # hide ticks\n",
@@ -770,36 +1213,168 @@
      "language": "python",
      "metadata": {
       "slideshow": {
-       "slide_type": "subslide"
+       "slide_type": "slide"
       }
      },
      "outputs": [
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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ixRASAi1bwvffQ7t2nq5V3or7Ga7EdeXZkeIpUvxkbCXNm5c5ITm/3Nr2/K8Wk4hICVJc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\nYrFRvXp1Ro8eTWBgINdeey2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70qrszCzkb2+mUVRWzQ9G92LWJQP1f9EGHDhYwtwl6RzIK6Vnlxhum5pM984t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\nAMsn+MQ7EShGAAAAAElFTkSuQmCC\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x163a33d0>"
+        "<matplotlib.figure.Figure at 0x5486cd0>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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wqz+Ki4sjLi4utySfY630kNW/smwb5yMrd3qh/Qs4D8y/VEJ///NSrzxx0Rio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\nlC9fHoC0tDRiY2Np1KgRHTp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AM4cJBGQLIlG5mqa2Hex10hZ5IvYaGz5fgHZXv96hLMkH9b180NDLGnsBZ68t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\n4eF07dqVLl26MGjQIOMvwREjRjBnzhw2bdrEL7/8Qnp6Ou7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        "text": [
-        "<matplotlib.figure.Figure at 0x163a32d0>"
+        "<matplotlib.figure.Figure at 0x3c7b910>"
        ]
       },
       {
        "metadata": {},
        "output_type": "display_data",
-       "png": 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M4KuvvpKuNw+Q1vxj1arBiy/CsGFaITy32b4dDh+GgQMdf4zUYYzJCFPFhKF1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\n09i0aRM3btxgw4YNd+1r8uTJbl8qVuK/Q+LPOon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medc1AN4BWuLQENZjmflMW7SFlJ3HNC14DbZ1Twb/fH8j2XlF9OvenJ/3N+rA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\nRoMkowAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x466d9d0>"
+       ]
+      }
+     ],
+     "prompt_number": 19
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "new_palette = sns.color_palette('colorblind')\n",
+      "new_palette"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 20,
        "text": [
-        "<matplotlib.figure.Figure at 0x15989390>"
+        "[(0.0, 0.4470588235294118, 0.6980392156862745),\n",
+        " (0.0, 0.6196078431372549, 0.45098039215686275),\n",
+        " (0.8352941176470589, 0.3686274509803922, 0.0),\n",
+        " (0.8, 0.4745098039215686, 0.6549019607843137),\n",
+        " (0.9411764705882353, 0.8941176470588236, 0.25882352941176473),\n",
+        " (0.33725490196078434, 0.7058823529411765, 0.9137254901960784)]"
        ]
       }
      ],
-     "prompt_number": 229
+     "prompt_number": 20
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "sns.palplot(new_palette)"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "fragment"
+      }
+     },
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAABGCAYAAABv7kdbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAAWtJREFUeJzt1atNrFEYhtE9XBIcEkEH2FMC9qAHR6gBFAWgODUQHMGe\nICkBSwcYHIqEkAwNkFHM83NZy37ZyauePQYAAAAAAAAAAAC/xGzZ8eX1bbG1uV5tAfgR5rdP4+bv\nzod93Vj2cGtzfcxO/q9m1Rew+HcwZpenU89YmcXxxXg4Wvqvfmt7V4txf3Y99YyV+HN+OJ4f96ee\nsTLbu3djfvs09YxJrE09AOA3EV2AkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6\nACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHR\nBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQiJLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQiJ\nLkBIdAFCogsQEl2AkOgChEQXICS6ACHRBQAAAAAAAAAAAIDP9w6Ejhh4psWK2wAAAABJRU5ErkJg\ngg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x53025d0>"
+       ]
+      }
+     ],
+     "prompt_number": 21
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "for group, data in groupGrades:\n",
+      "    fig, ax = plt.subplots(1, 1)\n",
+      "    ax.get_xaxis().set_visible(False) # hide ticks\n",
+      "    data.plot( style='-', table=True, ax = ax, secondary_y=['Outlier'], mark_right=False)"
+     ],
+     "language": "python",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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70qrszCzkb2+mUVRWzQ9G92LWJQP1f9EGHDhYwtwl6RzIK6Vnlxhum5pM984t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\nAMsn+MQ7EShGAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x4bda0d0>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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AM4cJBGQLIlG5mqa2Hex10hZ5IvYaGz5fgHZXv96hLMkH9b180NDLGnsBZ68t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\n4eF07dqVLl26MGjQIOMvwREjRjBnzhw2bdrEL7/8Qnp6Ou7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+       "text": [
+        "<matplotlib.figure.Figure at 0x4bdad90>"
+       ]
+      },
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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medc1AN4BWuLQENZjmflMW7SFlJ3HNC14DbZ1Twb/fH8j2XlF9OvenJ/3N+rA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\neIHu3bvj5+fHuXPn2L59OwDe3t7o9Xp8fHya3Gb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+       "text": [
+        "<matplotlib.figure.Figure at 0x4bd6dd0>"
+       ]
+      }
+     ],
+     "prompt_number": 22
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "source": [
+      "Excercises\n",
+      "===\n",
+      "\n",
+      "In the course material, we have an dataset called \"Iris\".\n",
+      "\n",
+      "<img src=\"http://upload.wikimedia.org/wikipedia/commons/d/d7/ColourIris.png\" style='height: 500px;' />\n",
+      "\n",
+      "Image from [Wikipedia](http://commons.wikimedia.org/wiki/File:ColourIris.png#mediaviewer/File:ColourIris.png) - Smhossei - Creative Commons CC BY 3.0"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {
+      "slideshow": {
+       "slide_type": "slide"
+      }
+     },
+     "source": [
+      "Acknowledgements\n",
+      "===\n",
+      "\n",
+      "* Pandas - \n",
+      "* Martijn Vermaat for organizing this course\n",
+      "\n",
+      "(c) 2014 - Wai Yi Leung "
+     ]
     }
    ],
    "metadata": {}