final presentation commit

_posts/2015-03-01-rMapsLeafletDemo.md

@@ -30,18 +30,18 @@ tags: Mike Bisaha, Sam Guleff, rMaps, Leaflet, Class Presentation
 ###### What is Leaflet?
 <li> <a href="http://leafletjs.com">LeafletJS</a> is a JavaScript library for creating interactive maps and mapping applications. </li>
 <li> <a href="http://rstudio.github.io/leaflet/">Leaflet for R</a> is an R package that leverages the LeafletJS library to allow simple creation of interactive maps directly from data in R. </li>
-    </section>
-	<section>
+</section>
+<section>
 ###### The Good:
 <li> LeafletJS: A more mature library that allows for fine control of basic map functions. Requires a working knowledge of JavaScript. </li>
 <li> Leaflet for R: An intuitive and powerful package that can be picked up quickly by R users. Building interactive maps takes only a few lines of code. </li>
 ######  The Bad:
 <li> LeafletJS: Harder to pick up without working JS knowledge. Features great for basic mapping, but more complext styles are difficult, if even possible. </li>
 <li> Leaflet for R: This package is young and still under active development, so feature set isn't fully fleshed out. </li>
-    </section>
-    <section>
+</section>
+<section>
 * [*Leaflet for R Walkthrough/Demo*](http://rpubs.com/bisaha/64077)
-    </section>
+</section>
 </section>
 
 <section>
@@ -89,9 +89,3 @@ tags: Mike Bisaha, Sam Guleff, rMaps, Leaflet, Class Presentation
 ### Questions
 </section>
 </section>
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-
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-

_posts/2015-03-02-rMapsSampleCode3.md

@@ -8,8 +8,15 @@ description: mini-assignment
 tags: assignments, Sam Guleff, rMaps, Sample Code, Presentation, Mexico, Crime, Data
 ---
 
-#this is RMaps Maps Tutorial #1
+Full file will be available here:
+
+[rMapsBlogSample.R](https://github.com/sguleff/edav/blob/gh-pages/_posts/sguleff/rCode/rMapsMexicoDataMap.R)
+
+[Data can be downloaded from data.gov](http://catalog.data.gov/dataset/consumer-complaint-database/resource/8842d7a8-d34e-4ad6-b324-8f8cb3c5beef)
 
+First lets pull the data from the internet and load into a dataframe.
+
+```
 #Install rMaps
 require(devtools)
 install_github('ramnathv/rCharts@dev')
@@ -26,16 +33,6 @@ library(lubridate) #clean up the dates as quickly as possible
 # by state issue counts over years.
 ###############################
 
-Full file will be available here:
-
-[rMapsBlogSample.R](https://github.com/sguleff/edav/blob/gh-pages/_posts/sguleff/rCode/rMapsMexicoDataMap.R)
-
-[Data can be downloaded from data.gov](http://catalog.data.gov/dataset/consumer-complaint-database/resource/8842d7a8-d34e-4ad6-b324-8f8cb3c5beef)
-
-First lets pull the data from the internet and load into a dataframe.
-
-```
-
 #Set working directory to dataset(s)
 setwd("~/Desktop/Dataset")