Minor typo's

Author: GraemeMalcolm

01 - Data Exploration.ipynb

@@ -333,7 +333,7 @@
         "\n",
         "The **loc** method returned rows with index *label* in the list of values from *0* to *5* - which includes *0*, *1*, *2*, *3*, *4*, and *5* (six rows). However, the **iloc** method returns the rows in the *positions* included in the range 0 to 5, and since integer ranges don't include the upper-bound value, this includes positions *0*, *1*, *2*, *3*, and *4* (five rows).\n",
         "\n",
-        "**iloc** identiies data values in a DataFrame by *position*, which extends beyond rows to columns. So for example, you can use it to find the values for the columns in positions 1 and 2 in row 0, like this:"
+        "**iloc** identifies data values in a DataFrame by *position*, which extends beyond rows to columns. So for example, you can use it to find the values for the columns in positions 1 and 2 in row 0, like this:"
       ],
       "cell_type": "markdown",
       "metadata": {}
@@ -957,7 +957,7 @@
       "metadata": {},
       "cell_type": "markdown",
       "source": [
-        "The box plot shows the distribution of the grade values in a different format to the histogram. The *box* part of the blot shows where the inner two *quartiles* of the data reside - so in this case, half of the grades are between approximately 36 and 63. The *whiskers* extending from the box show the outer two quartiles; so the other half of the grades in this case are between 0 and 36 or 63 and 100. The line in the box indicates the *median* value.\n",
+        "The box plot shows the distribution of the grade values in a different format to the histogram. The *box* part of the plot shows where the inner two *quartiles* of the data reside - so in this case, half of the grades are between approximately 36 and 63. The *whiskers* extending from the box show the outer two quartiles; so the other half of the grades in this case are between 0 and 36 or 63 and 100. The line in the box indicates the *median* value.\n",
         "\n",
         "It's often useful to combine histograms and box plots, with the box plot's orientation changed to align it with the histogram (in some ways, it can be helpful to think of the histogram as a \"front elevation\" view of the distribution, and the box plot as a \"plan\" view of the distribution from above.)"
       ]