Update blog post barryclark#6 and about page.

_drafts/2019-07-24-a-closer-look.md

@@ -4,3 +4,7 @@ title: A closer look
 date: 24-7-2019
 tags: national-park-service
 ---
+In the last post, [Which parks are the most popular?](http://goodmorningdata.com/which-parks-are-most-popular/), we took a look at park popularity using a plot of mean visits per capita vs. visits per capita change rate divided into quadrants. In this post, let's take a look at a four parks in each of the quadrants.
+
+Quadrant I: Most Popular and Increasing
+The parks in Quadrant I have the highest mean visits per capita since 1967 and an increasing visit change rate since that year. The plot below 

_posts/2019-07-10-which-parks-are-most-popular.md

@@ -18,24 +18,24 @@ The plot below is a park popularity quadrant. It plots mean park visits per capi
 
 ![Quadrant image]({{ site.baseurl }}/assets/06_census_park_popularity_quadrant_national_parks.png)
 <span style="font-size:10pt;">Because there are 61 parks on the plot, and many are clustered together, it is difficult to read the park codes. Quadrant contents are listed at the bottom of this post.</span>
-
-* It is no surprise that of the 8 parks in Quadrant I, 5 are in the list of top 10 most visited. But where are the remaining 5 top tenners? They can all be found in Quadrant IV, still very popular, but their visits per capita rate is actually declining.
-* The additional 3 parks in Quadrant I, popular and getting more popular, are Indiana Dunes NP, Cuyahoga Valley NP, and Joshua Tree NP. These parks are all near major urban areas, which may contribute to their increasing popularity - this is worth looking into more in a future blog post.
+<br/>
+* It is no surprise that of the 7 parks in Quadrant I, 5 are in the list of top 10 most visited. But where are the remaining 5 top tenners? They can all be found in Quadrant IV, still very popular, but their visits per capita rate is actually declining.
+* The additional 2 parks in Quadrant I, popular and getting more popular, are Indiana Dunes NP and Cuyahoga Valley NP. Both of these parks are near major urban areas, which may contribute to their increasing popularity - this is worth looking into more in a future blog post.
 * Quadrant II contains the "up and comers." These parks are less popular and presumably less crowded, but their popularity is on the increase.
 * Quadrant IV contains the less popular parks whose popularity is on the decline. These are the ones to visit to avoid the crowds.
-* Interestingly, all 8 of the national parks in Alaska are in Quadrant II. They don't get a lot of visitors, but their popularity is on the rise.
+* Interestingly, 5 of the 8 national parks in Alaska are in Quadrant II. They don't get a lot of visitors, but their popularity is on the rise.
 
 Over the next blog posts, I will look at a few of these parks in more detail.
 
 ### Parks by quadrant
 #### Quadrant I
-Cuyahoga Valley National Park, Glacier National Park, Grand Canyon National Park, Indiana Dunes National Park, Joshua Tree National Park, Yellowstone National Park, Yosemite National Park, Zion National Park.
+Cuyahoga Valley National Park, Glacier National Park, Grand Canyon National Park, Indiana Dunes National Park, Yellowstone National Park, Yosemite National Park, Zion National Park.
 
 #### Quadrant II
-Arches National Park, Big Bend National Park, Biscayne National Park, Bryce Canyon National Park, Canyonlands National Park, Capitol Reef National Park, Channel Islands National Park, Congaree National Park, Death Valley National Park, Denali National Park, Dry Tortugas National Park, Gates of the Arctic National Park, Glacier Bay National Park, Great Basin National Park, Great Sand Dunes National Park, Guadalupe Mountains National Park, Haleakalā National Park, Katmai National Park, Kenai Fjords National Park, Kobuk Valley National Park, Lake Clark National Park, National Park of American Samoa, Redwood National Park, Saguaro National Park, Virgin Islands National Park, Voyageurs National Park, Wrangell-St. Elias National Park.
+Arches National Park, Big Bend National Park, Biscayne National Park, Bryce Canyon National Park, Canyonlands National Park, Capitol Reef National Park, Channel Islands National Park, Congaree National Park, Death Valley National Park, Denali National Park, Dry Tortugas National Park, Gates of the Arctic National Park, Glacier Bay National Park, Great Basin National Park, Great Sand Dunes National Park, Guadalupe Mountains National Park, Haleakalā National Park, Joshua Tree National Park, Kenai Fjords National Park, National Park of American Samoa, Saguaro National Park, Virgin Islands National Park, Wrangell-St. Elias National Park.
 
 #### Quadrant III
-Black Canyon of the Gunnison National Park, Carlsbad Caverns National Park, Crater Lake National Park, Everglades National Park, Isle Royale National Park, Kings Canyon National Park, Lassen Volcanic National Park, Mesa Verde National Park, North Cascades National Park, Petrified Forest National Park, Pinnacles National Park, Sequoia National Park, Theodore Roosevelt National Park, Wind Cave National Park.
+Black Canyon of the Gunnison National Park, Carlsbad Caverns National Park, Crater Lake National Park, Everglades National Park, Isle Royale National Park, Katmai National Park, Kings Canyon National Park, Kobuk Valley National Park, Lake Clark National Park, Lassen Volcanic National Park, Mesa Verde National Park, North Cascades National Park, Petrified Forest National Park, Pinnacles National Park, Redwood National Park, Sequoia National Park, Theodore Roosevelt National Park, Voyageurs National Park, Wind Cave National Park.
 
 #### Quadrant IV
 Acadia National Park, Badlands National Park, Gateway Arch National Park, Grand Teton National Park, Great Smoky Mountains National Park, Hawai'i Volcanoes National Park, Hot Springs National Park, Mammoth Cave National Park, Mount Rainier National Park, Olympic National Park, Rocky Mountain National Park, Shenandoah National Park.

about.md

@@ -8,7 +8,7 @@ A blog of data science currently focusing on National Park Service data.
 
 As I spend the year with my family, travelling to as many national parks as possible, I have been taking online courses and teaching myself data science skills. This blog is a way to demonstrate and practice those skills while dealing with data about one of my favorite subjects.
 
-Code repository available on [GitHub](https://github.com/goodmorningdata).
+Code repository available on [GitHub](https://github.com/goodmorningdata/nps).
 
 ### Contact me