new data viz resources

mattmakai · mattmakai · commit 501d00134fa1 · 2019-01-07T09:29:42.000-05:00
diff --git a/content/pages/03-data/18-data-visualization.markdown b/content/pages/03-data/18-data-visualization.markdown
@@ -12,6 +12,53 @@ Data visualizations transform raw numbers into graphic formats that make it
 easier for humans to see patterns, trends and other useful information.
 
 
+### Python-specific data viz resources
+* The [Python Graph Gallery](https://python-graph-gallery.com/) has a slew 
+  of visualizations created with Python and includes the code used to 
+  produced each one.
+
+* [10 Useful Python Data Visualization Libraries for Any Discipline](https://blog.modeanalytics.com/python-data-visualization-libraries/)
+  is a straightforward overview of Python packages that create Python
+  visualizations.
+
+* [Introduction to Data Visualization with Altair](http://pbpython.com/altair-intro.html)
+  is a starter post for the wonderful 
+  [Altair](https://altair-viz.github.io/) visualization tool written in
+  Python.
+
+* [A Dramatic Tour through Python’s Data Visualization Landscape](https://dsaber.com/2016/10/02/a-dramatic-tour-through-pythons-data-visualization-landscape-including-ggplot-and-altair/)
+  provides examples with the ggplot and Altair libraries. The 
+  question-and-answer format for what you can do with the data is a really
+  good model that keeps your attention throughout the post.
+
+
+### Beautiful example visualizations
+Sometimes you need inspiration from other sources to figure out what
+you want to build. The following links have made me excited about data
+visualization and gave me ideas for what to build.
+
+* [Roads to Rome](http://roadstorome.moovellab.com/) is a beautiful
+  visualization showing the data behind the expression "all roads lead 
+  to Rome" and whether or not there is a "Rome" central city in every 
+  country.
+
+* [Star Wars: The Force Accounted](https://www.bloomberg.com/graphics/2015-star-wars-the-force-accounted/)
+  is Bloomberg's way of breaking down on-screen action between light
+  and dark sides, the main characters, various bits about the Force
+  and other data extracted from the movies.
+
+* [Big League Graphs](https://bigleaguegraphs.com/) presents a bunch of
+  creative ways to view data for sports such as basketball, baseball and
+  hockey.
+
+* [Bay Area Housing Marketing Analysis: Part 1](https://blog.checkyo.tech/2018/08/06/bay-area-housing-market-analysis/)
+  and
+  [Part 2](https://blog.checkyo.tech/2018/08/15/bay-area-housing-market-analysis-part-2/)
+  are a combination of inspiration and tutorial. These posts contain a 
+  ton of data analysis and graphing and show numerous ways to slice and 
+  present information.
+
+
 ### Data visualization resources
 * [Data visualization, from 1987 to today](https://medium.economist.com/data-visualisation-from-1987-to-today-65d0609c6017)
   is a wonderful reference about the pre-computer age era of visualization
@@ -28,26 +75,9 @@ easier for humans to see patterns, trends and other useful information.
 * [dataviz.tools](http://dataviz.tools/) has a nice list of categorized
   tools for working with data and visualizing it.
 
-* [10 Useful Python Data Visualization Libraries for Any Discipline](https://blog.modeanalytics.com/python-data-visualization-libraries/)
-  is a straightforward overview of Python packages that create Python
-  visualizations.
-
-* [Big League Graphs](https://bigleaguegraphs.com/) presents a bunch of
-  creative ways to view data for sports such as basketball, baseball and
-  hockey.
-
 * [Engineering Intelligence Through Data Visualization at Uber](https://eng.uber.com/data-viz-intel/)
   explains how Uber's data visualization team grew from 1 person to 15
   and the output they created along the way, including the open source
   tools [react-vis](https://uber.github.io/react-vis/) and 
   [react-map-gl](https://uber.github.io/react-map-gl/).
 
-* [Introduction to Data Visualization with Altair](http://pbpython.com/altair-intro.html)
-  is a starter post for the wonderful 
-  [Altair](https://altair-viz.github.io/) visualization tool written in
-  Python.
-
-* [Roads to Rome](http://roadstorome.moovellab.com/) is a beautiful
-  visualization showing the data behind the expression "all roads lead 
-  to Rome" and whether or not there is a "Rome" central city in every 
-  country.
