add series heat.

vlandham · Oct 25, 2021 · 8ababd4 · 8ababd4
1 parent 30db116
commit 8ababd4
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Showing 2 changed files with 32 additions and 7 deletions.
diff --git a/images/vis/banners/seriesheat.jpg b/images/vis/banners/seriesheat.jpg
diff --git a/vis/index.html b/vis/index.html
@@ -11,6 +11,32 @@
 css: vis.css
 ---
 
+<div name="seriesheat" id="seriesheat" class="section">
+  <div class="details">
+    <h2>
+      <a href="https://vallandingham.me/seriesheat" target="_blank"
+        >SeriesHeat</a
+      >
+    </h2>
+    <a href="https://vallandingham.me/seriesheat" target="_blank"
+      ><img class="banner" src="/images/vis/banners/seriesheat.jpg"
+    /></a>
+    <p>
+      Using data from IMDb, this project allows people to explore average
+      ratings of any TV Series made. Simply type in a TV Show and get a heatmap
+      of seasons vs episodes. Its just that easy! The visualization approach was
+      inspired by a static display showing how Simpson's episodes had degraded
+      over time. Here, I wanted to expand that insight to any show out there.
+    </p>
+
+    <p>
+      <a href="https://vallandingham.me/seriesheat" target="_blank"
+        >SeriesHeat</a
+      >
+    </p>
+  </div>
+</div>
+
 <div name="good_government" id="good_government" class="section">
   <div class="details">
     <h2>
@@ -70,7 +96,7 @@ <h2>
     </p>
 
     <p>
-      <a href="http://vallandingham.me/process_simulation/"
+      <a href="http://vallandingham.me/process_simulation/" target="_blank"
         >Process Simulation</a
       >
     </p>
@@ -88,15 +114,14 @@ <h2>
       ><img class="banner" src="/images/vis/banners/sundry.jpg"
     /></a>
     <p>
-      A hack-week project to try to replicate some of Uber Manifold's capabilities in 
-      visualizing the performance of multiple statistical models. The novelity of this approach
-      is in its use of input data clusters to compare model results.
+      A hack-week project to try to replicate some of Uber Manifold's
+      capabilities in visualizing the performance of multiple statistical
+      models. The novelity of this approach is in its use of input data clusters
+      to compare model results.
     </p>
 
     <p>
-      <a href="http://vallandingham.me/projects/sundry.html"
-        >Sundry</a
-      >
+      <a href="http://vallandingham.me/projects/sundry.html">Sundry</a>
     </p>
   </div>
 </div>