Updated README.md paths, matplotlib fonts, added a Makefile

.gitignore

@@ -0,0 +1,2 @@
+.ipynb_checkpoints
+*.pyc

Makefile

@@ -0,0 +1,29 @@
+
+# Makefile for working with IPython notebook
+NBNAME:= ./pycon_2014_job_fair_survey_analysis
+IPYNB:= $(NBNAME).ipynb
+
+default: runipy
+
+setup:
+	# pip install virtualenvwrapper
+	# mkvirtualenv <name>
+	python -c 'import conda' || pip install conda
+	conda install numpy pandas matplotlib ipython-notebook && \
+	pip install seaborn runipy
+
+html:
+	ipython nbconvert $(IPYNB) --to html
+
+markdown:
+	# Note: pandas.DataFrame.to_html does not output as a Markdown table
+	ipython nbconvert $(IPYNB) --to markdown 
+
+run-notebook:
+	ipython notebook --secure --ip=127.0.0.1 --notebook-dir=. --no-mathjax
+
+clean:
+	rm -rf $(NBNAME).md $(NBNAME).html $(NBNAME)_files/
+
+runipy:
+	runipy -o $(IPYNB)

README.md

@@ -22,10 +22,10 @@ any questions.
 The average company at PyCon is slightly more disposed towards only hiring
 on-site developers (with an average response of -0.022).
 
-![Pycon 2014 Job Fair Survey Crosstab Stacked Bar Chart](/pycon_2014_survey_crosstab_stacked_bar_chart.png)
+![Pycon 2014 Job Fair Survey Crosstab Stacked Bar Chart](/pycon_2014_job_fair_survey_crosstab_stacked_bar_chart.png)
 
-[IPython notebook](https://raw.githubusercontent.com/westurner/pycon-2014-job-fair/add_ipynb_crosstab_and_chart/pycon_2014_job_fair_survey_analysis.ipynb)
-([open in nbviewer](http://nbviewer.ipython.org/github/westurner/pycon-2014-job-fair/blob/add_ipynb_crosstab_and_chart/pycon_2014_job_fair_survey_analysis.ipynb))
+[IPython notebook](https://raw.githubusercontent.com/briandailey/pycon-2014-job-fair/master/pycon_2014_job_fair_survey_analysis.ipynb)
+([open in nbviewer](http://nbviewer.ipython.org/github/briandailey/pycon-2014-job-fair/blob/master/pycon_2014_job_fair_survey_analysis.ipynb))
 
 #### Contact Information