Merge pull request guipsamora#7 from manjunath24/improved_solutions

some improvements

Author: guipsamora

03_Grouping/Regiment/Exercises_solutions.ipynb

@@ -204,7 +204,7 @@
     }
    ],
    "source": [
-    "regiment = pd.DataFrame(raw_data, columns = ['regiment', 'company', 'name', 'preTestScore', 'postTestScore'])\n",
+    "regiment = pd.DataFrame(raw_data, columns = raw_data.keys())\n",
     "regiment"
    ]
   },
@@ -273,7 +273,7 @@
     }
    ],
    "source": [
-    "regiment.groupby(regiment['regiment']).mean()"
+    "regiment[regiment['regiment'] == 'Nighthawks'].groupby('regiment').mean()"
    ]
   },
   {
@@ -423,7 +423,7 @@
     }
    ],
    "source": [
-    "regiment.groupby(regiment['company']).describe()"
+    "regiment.groupby('company').describe()"
    ]
   },
   {
@@ -455,7 +455,7 @@
     }
    ],
    "source": [
-    "regiment['preTestScore'].groupby(regiment['company']).mean()"
+    "regiment.groupby('company').preTestScore.mean()"
    ]
   },
   {
@@ -491,7 +491,7 @@
     }
    ],
    "source": [
-    "regiment['preTestScore'].groupby([regiment['regiment'], regiment['company']]).mean()"
+    "regiment.groupby(['regiment', 'company']).preTestScore.mean()"
    ]
   },
   {
@@ -559,7 +559,7 @@
     }
    ],
    "source": [
-    "regiment['preTestScore'].groupby([regiment['regiment'], regiment['company']]).mean().unstack()"
+    "regiment.groupby(['regiment', 'company']).preTestScore.mean().unstack()"
    ]
   },
   {