updated the description and the spelling correction

priyatharsan · priyatharsan · commit 861078c72ecd · 2018-08-30T10:27:17.000-04:00
diff --git a/_posts/python/statistical/histogram/2015-06-30-histograms.html b/_posts/python/statistical/histogram/2015-06-30-histograms.html
@@ -219,7 +219,7 @@ <h3 id="Horizontal-Histogram">Horizontal Histogram<a class="anchor-link" href="#
 </div>
 <div class="inner_cell">
 <div class="text_cell_render border-box-sizing rendered_html">
-<h3 id="Overlaid-Histgram">Overlaid Histgram<a class="anchor-link" href="#Overlaid-Histgram">&#182;</a></h3>
+<h3 id="Overlaid-Histogram">Overlaid Histogram<a class="anchor-link" href="#Overlaid-Histogram">&#182;</a></h3>
 </div>
 </div>
 </div>
@@ -536,7 +536,7 @@ <h3 id="Specify-Binning-Function">Specify Binning Function<a class="anchor-link"
 </div>
 <div class="inner_cell">
 <div class="text_cell_render border-box-sizing rendered_html">
-<h3 id="Custom-Binning">Custom Binning<a class="anchor-link" href="#Custom-Binning">&#182;</a></h3><p>For custom binning along x-axis, use the attribute <a href="https://plot.ly/python/reference/#histogram-nbinsx"><code>nbinsx</code></a>. Please note that no matter how many bins being specified, the autobin algorithm will still give a 'nice' round bin sizes and edges. Alternatively, you can set the exact values for <a href="https://plot.ly/python/reference/#histogram-xbins"><code>xbins</code></a> along with <code>autobinx = False</code>.</p>
+<h3 id="Custom-Binning">Custom Binning<a class="anchor-link" href="#Custom-Binning">&#182;</a></h3><p>For custom binning along x-axis, use the attribute <a href="https://plot.ly/python/reference/#histogram-nbinsx"><code>nbinsx</code></a>. Please note that the autobin algorithm will choose a 'nice' round bin size that may result in somewhat fewer than <code>nbinsx</code> total bins. Alternatively, you can set the exact values for <a href="https://plot.ly/python/reference/#histogram-xbins"><code>xbins</code></a> along with <code>autobinx = False</code>.</p>
 
 </div>
 </div>
diff --git a/_posts/python/statistical/histogram/histograms.ipynb b/_posts/python/statistical/histogram/histograms.ipynb
@@ -158,7 +158,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Overlaid Histgram ###"
+    "### Overlaid Histogram ###"
    ]
   },
   {
@@ -426,7 +426,7 @@
    "metadata": {},
    "source": [
     "### Custom Binning\n",
-    "For custom binning along x-axis, use the attribute [`nbinsx`](https://plot.ly/python/reference/#histogram-nbinsx). Please note that no matter how many bins being specified, the autobin algorithm will still give a 'nice' round bin sizes and edges. Alternatively, you can set the exact values for [`xbins`](https://plot.ly/python/reference/#histogram-xbins) along with `autobinx = False`."
+    "For custom binning along x-axis, use the attribute [`nbinsx`](https://plot.ly/python/reference/#histogram-nbinsx). Please note that the autobin algorithm will choose a 'nice' round bin size that may result in somewhat fewer than `nbinsx` total bins. Alternatively, you can set the exact values for [`xbins`](https://plot.ly/python/reference/#histogram-xbins) along with `autobinx = False`."
    ]
   },
   {
@@ -525,7 +525,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -557,11 +557,11 @@
      "output_type": "stream",
      "text": [
       "Collecting git+https://github.com/plotly/publisher.git\n",
-      "  Cloning https://github.com/plotly/publisher.git to c:\\users\\thars\\appdata\\local\\temp\\pip-req-build-jq6h4q\n",
+      "  Cloning https://github.com/plotly/publisher.git to c:\\users\\thars\\appdata\\local\\temp\\pip-req-build-iw0pnu\n",
       "Building wheels for collected packages: publisher\n",
       "  Running setup.py bdist_wheel for publisher: started\n",
       "  Running setup.py bdist_wheel for publisher: finished with status 'done'\n",
-      "  Stored in directory: c:\\users\\thars\\appdata\\local\\temp\\pip-ephem-wheel-cache-nls1yn\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
+      "  Stored in directory: c:\\users\\thars\\appdata\\local\\temp\\pip-ephem-wheel-cache-kqmvuc\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
       "Successfully built publisher\n",
       "Installing collected packages: publisher\n",
       "  Found existing installation: publisher 0.11\n",
