minor edits

StephenElston · StephenElston · commit e6b7a4aca3bc · 2018-07-08T17:17:19.000-07:00
diff --git a/Module04/04-02-Statistics Fundamentals.ipynb b/Module04/04-02-Statistics Fundamentals.ipynb
@@ -1174,7 +1174,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Summarizing Data Distribution in Python\n",
+    "### Summarizing Data Distribution in R\n",
     "We've seen how to obtain individual statistics in R, but you can also use the ***summary*** function to retrieve summary statistics for all numeric columns in a data frame. These summary statistics include many of the statistics we've examined so far (though it's worth noting that the *median* is not included):"
    ]
   },
diff --git a/Module04/04-03-Comparing Data.ipynb b/Module04/04-03-Comparing Data.ipynb
@@ -1055,6 +1055,13 @@
     "\n",
     "\\begin{equation}f(x) = (1424.50\\times62) - 7822.24 \\approx 80,497 \\end{equation}\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {

Original file line number	Diff line number	Diff line change
`@@ -1174,7 +1174,7 @@`
`1174`	`1174`	`"cell_type": "markdown",`
`1175`	`1175`	`"metadata": {},`
`1176`	`1176`	`"source": [`
`1177`		`- "### Summarizing Data Distribution in Python\n",`
	`1177`	`+ "### Summarizing Data Distribution in R\n",`
`1178`	`1178`	`"We've seen how to obtain individual statistics in R, but you can also use the *summary* function to retrieve summary statistics for all numeric columns in a data frame. These summary statistics include many of the statistics we've examined so far (though it's worth noting that the median is not included):"`
`1179`	`1179`	`]`
`1180`	`1180`	`},`
Original file line number	Diff line number	Diff line change
`@@ -1055,6 +1055,13 @@`
`1055`	`1055`	`"\n",`
`1056`	`1056`	`"\\begin{equation}f(x) = (1424.50\\times62) - 7822.24 \\approx 80,497 \\end{equation}\n"`
`1057`	`1057`	`]`
	`1058`	`+ },`
	`1059`	`+ {`
	`1060`	`+ "cell_type": "code",`
	`1061`	`+ "execution_count": null,`
	`1062`	`+ "metadata": {},`
	`1063`	`+ "outputs": [],`
	`1064`	`+ "source": []`
`1058`	`1065`	`}`
`1059`	`1066`	`],`
`1060`	`1067`	`"metadata": {`