new post distribution fitting

tedtwong · Dec 19, 2023 · 640d279 · 640d279
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diff --git a/categories/data-analytics/index.html b/categories/data-analytics/index.html
@@ -231,6 +231,59 @@ <h1>Data Analytics</h1>
 
         <div class="posts-list">
 
+            <article class="post-preview">
+    <a href="https://www.codelooper.com/post/distribution-fitting-r-shiny/">
+        <h2 class="post-title">Distribution fitting</h2>
+
+
+
+    </a>
+
+    <p class="post-meta">
+        <span class="post-meta">
+
+
+  <i class="fas fa-calendar"></i>&nbsp;Posted on December 15, 2023
+
+
+    &nbsp;|&nbsp;<i class="fas fa-clock"></i>&nbsp;0&nbsp;minutes
+
+
+    &nbsp;|&nbsp;<i class="fas fa-book"></i>&nbsp;0&nbsp;words
+
+
+
+      &nbsp;|&nbsp;<i class="fas fa-user"></i>&nbsp;Package Build
+
+
+
+</span>
+
+
+    </p>
+    <div class="post-entry">
+
+
+
+
+<iframe height="800" width="100%" frameborder="no" src="https://twong.shinyapps.io/HSMA_distr_tool/">
+</iframe>
+
+
+    </div>
+
+
+    <div class="blog-tags">
+
+        <a href="https://www.codelooper.com/tags/r/">R</a>&nbsp;
+
+        <a href="https://www.codelooper.com/tags/r-shiny/">R Shiny</a>&nbsp;
+
+    </div>
+
+
+</article>
+
             <article class="post-preview">
     <a href="https://www.codelooper.com/post/2023-12-12-chatgpt-python-code-for-distribution-fitting/">
         <h2 class="post-title">ChatGPT python code for distribution fitting</h2>

diff --git a/categories/data-analytics/index.xml b/categories/data-analytics/index.xml
@@ -5,7 +5,16 @@
     <link>https://www.codelooper.com/categories/data-analytics/</link>
     <description>Recent content in Data Analytics on Teddy&#39;s online desktop</description>
     <generator>Hugo -- gohugo.io</generator>
-    <lastBuildDate>Tue, 12 Dec 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://www.codelooper.com/categories/data-analytics/index.xml" rel="self" type="application/rss+xml" />
+    <lastBuildDate>Fri, 15 Dec 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://www.codelooper.com/categories/data-analytics/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Distribution fitting</title>
+      <link>https://www.codelooper.com/post/distribution-fitting-r-shiny/</link>
+      <pubDate>Fri, 15 Dec 2023 00:00:00 +0000</pubDate>
+
+      <guid>https://www.codelooper.com/post/distribution-fitting-r-shiny/</guid>
+      <description> </description>
+    </item>
+
     <item>
       <title>ChatGPT python code for distribution fitting</title>
       <link>https://www.codelooper.com/post/2023-12-12-chatgpt-python-code-for-distribution-fitting/</link>

diff --git a/categories/index.html b/categories/index.html
@@ -281,7 +281,7 @@ <h4 class="panel-title">
                 <div class="panel-heading" id="headerdata-analytics">
                   <h4 class="panel-title">
                       data-analytics
-                    <span class="badge">5</span>
+                    <span class="badge">6</span>
                   </h4>
                 </div>
             </a>
@@ -291,6 +291,8 @@ <h4 class="panel-title">
                 View all</a>
                 <div class="list-group">
 
+                    <a href="https://www.codelooper.com/post/distribution-fitting-r-shiny/" class="list-group-item">Distribution fitting</a>
+
                     <a href="https://www.codelooper.com/post/2023-12-12-chatgpt-python-code-for-distribution-fitting/" class="list-group-item">ChatGPT python code for distribution fitting</a>
 
                     <a href="https://www.codelooper.com/post/copula-example/" class="list-group-item">Copula Example</a>

diff --git a/categories/index.xml b/categories/index.xml
@@ -5,11 +5,11 @@
     <link>https://www.codelooper.com/categories/</link>
     <description>Recent content in Categories on Teddy&#39;s online desktop</description>
     <generator>Hugo -- gohugo.io</generator>
-    <lastBuildDate>Tue, 12 Dec 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://www.codelooper.com/categories/index.xml" rel="self" type="application/rss+xml" />
+    <lastBuildDate>Fri, 15 Dec 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://www.codelooper.com/categories/index.xml" rel="self" type="application/rss+xml" />
     <item>
       <title>Data Analytics</title>
       <link>https://www.codelooper.com/categories/data-analytics/</link>
-      <pubDate>Tue, 12 Dec 2023 00:00:00 +0000</pubDate>
+      <pubDate>Fri, 15 Dec 2023 00:00:00 +0000</pubDate>
 
       <guid>https://www.codelooper.com/categories/data-analytics/</guid>
       <description></description>

diff --git a/index.html b/index.html
@@ -237,6 +237,59 @@ <h1>Teddy&#39;s online desktop</h1>
         <div class="posts-list">
 
 
+            <article class="post-preview">
+    <a href="https://www.codelooper.com/post/distribution-fitting-r-shiny/">
+        <h2 class="post-title">Distribution fitting</h2>
+
+
+
+    </a>
+
+    <p class="post-meta">
+        <span class="post-meta">
+
+
+  <i class="fas fa-calendar"></i>&nbsp;Posted on December 15, 2023
+
+
+    &nbsp;|&nbsp;<i class="fas fa-clock"></i>&nbsp;0&nbsp;minutes
+
+
+    &nbsp;|&nbsp;<i class="fas fa-book"></i>&nbsp;0&nbsp;words
+
+
+
+      &nbsp;|&nbsp;<i class="fas fa-user"></i>&nbsp;Package Build
+
+
+
+</span>
+
+
+    </p>
+    <div class="post-entry">
+
+
+
+
+<iframe height="800" width="100%" frameborder="no" src="https://twong.shinyapps.io/HSMA_distr_tool/">
+</iframe>
+
+
+    </div>
+
+
+    <div class="blog-tags">
+
+        <a href="https://www.codelooper.com/tags/r/">R</a>&nbsp;
+
+        <a href="https://www.codelooper.com/tags/r-shiny/">R Shiny</a>&nbsp;
+
+    </div>
+
+
+</article>
+
             <article class="post-preview">
     <a href="https://www.codelooper.com/post/2023-12-12-chatgpt-python-code-for-distribution-fitting/">
         <h2 class="post-title">ChatGPT python code for distribution fitting</h2>
@@ -679,60 +732,6 @@ <h2 class="post-title">Completed the Deeplearning.ai Tensorflow for AI course</h
     </div>
 
 
-</article>
-
-            <article class="post-preview">
-    <a href="https://www.codelooper.com/post/2022-08-03-coursera-introduction-to-tensorflow/">
-        <h2 class="post-title">Coursera - introduction to tensorflow</h2>
-
-
-
-    </a>
-
-    <p class="post-meta">
-        <span class="post-meta">
-
-
-  <i class="fas fa-calendar"></i>&nbsp;Posted on August 3, 2022
-
-
-    &nbsp;|&nbsp;<i class="fas fa-clock"></i>&nbsp;3&nbsp;minutes
-
-
-    &nbsp;|&nbsp;<i class="fas fa-book"></i>&nbsp;428&nbsp;words
-
-
-
-      &nbsp;|&nbsp;<i class="fas fa-user"></i>&nbsp;Teddy Wong
-
-
-
-</span>
-
-
-    </p>
-    <div class="post-entry">
-
-        Week 1 Assignment: Housing Prices In this exercise you’ll try to build a neural network that predicts the price of a house according to a simple formula.
-Imagine that house pricing is as easy as:
-A house has a base cost of 50k, and every additional bedroom adds a cost of 50k. This will make a 1 bedroom house cost 100k, a 2 bedroom house cost 150k etc.
-How would you create a neural network that learns this relationship so that it would predict a 7 bedroom house as costing close to 400k etc.
-        <a href="https://www.codelooper.com/post/2022-08-03-coursera-introduction-to-tensorflow/" class="post-read-more">[Read More]</a>
-
-    </div>
-
-
-    <div class="blog-tags">
-
-        <a href="https://www.codelooper.com/tags/python/">Python</a>&nbsp;
-
-        <a href="https://www.codelooper.com/tags/tensorflow/">Tensorflow</a>&nbsp;
-
-        <a href="https://www.codelooper.com/tags/ml/">ML</a>&nbsp;
-
-    </div>
-
-
 </article>
 
         </div>

diff --git a/index.xml b/index.xml
@@ -5,7 +5,16 @@
     <link>https://www.codelooper.com/</link>
     <description>Recent content on Teddy&#39;s online desktop</description>
     <generator>Hugo -- gohugo.io</generator>
-    <lastBuildDate>Tue, 12 Dec 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://www.codelooper.com/index.xml" rel="self" type="application/rss+xml" />
+    <lastBuildDate>Fri, 15 Dec 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://www.codelooper.com/index.xml" rel="self" type="application/rss+xml" />
+    <item>
+      <title>Distribution fitting</title>
+      <link>https://www.codelooper.com/post/distribution-fitting-r-shiny/</link>
+      <pubDate>Fri, 15 Dec 2023 00:00:00 +0000</pubDate>
+
+      <guid>https://www.codelooper.com/post/distribution-fitting-r-shiny/</guid>
+      <description> </description>
+    </item>
+
     <item>
       <title>ChatGPT python code for distribution fitting</title>
       <link>https://www.codelooper.com/post/2023-12-12-chatgpt-python-code-for-distribution-fitting/</link>

diff --git a/page/2/index.html b/page/2/index.html
@@ -237,6 +237,60 @@ <h1>Teddy&#39;s online desktop</h1>
         <div class="posts-list">
 
 
+            <article class="post-preview">
+    <a href="https://www.codelooper.com/post/2022-08-03-coursera-introduction-to-tensorflow/">
+        <h2 class="post-title">Coursera - introduction to tensorflow</h2>
+
+
+
+    </a>
+
+    <p class="post-meta">
+        <span class="post-meta">
+
+
+  <i class="fas fa-calendar"></i>&nbsp;Posted on August 3, 2022
+
+
+    &nbsp;|&nbsp;<i class="fas fa-clock"></i>&nbsp;3&nbsp;minutes
+
+
+    &nbsp;|&nbsp;<i class="fas fa-book"></i>&nbsp;428&nbsp;words
+
+
+
+      &nbsp;|&nbsp;<i class="fas fa-user"></i>&nbsp;Teddy Wong
+
+
+
+</span>
+
+
+    </p>
+    <div class="post-entry">
+
+        Week 1 Assignment: Housing Prices In this exercise you’ll try to build a neural network that predicts the price of a house according to a simple formula.
+Imagine that house pricing is as easy as:
+A house has a base cost of 50k, and every additional bedroom adds a cost of 50k. This will make a 1 bedroom house cost 100k, a 2 bedroom house cost 150k etc.
+How would you create a neural network that learns this relationship so that it would predict a 7 bedroom house as costing close to 400k etc.
+        <a href="https://www.codelooper.com/post/2022-08-03-coursera-introduction-to-tensorflow/" class="post-read-more">[Read More]</a>
+
+    </div>
+
+
+    <div class="blog-tags">
+
+        <a href="https://www.codelooper.com/tags/python/">Python</a>&nbsp;
+
+        <a href="https://www.codelooper.com/tags/tensorflow/">Tensorflow</a>&nbsp;
+
+        <a href="https://www.codelooper.com/tags/ml/">ML</a>&nbsp;
+
+    </div>
+
+
+</article>
+
             <article class="post-preview">
     <a href="https://www.codelooper.com/post/2022-08-03-python-handling-exceptions/">
         <h2 class="post-title">Python - Handling Exceptions</h2>
@@ -683,61 +737,6 @@ <h2 class="post-title">Global size of agriculture insurance market in 2020 and b
     </div>
 
 
-</article>
-
-            <article class="post-preview">
-    <a href="https://www.codelooper.com/post/google-data-analytics-certificate/">
-        <h2 class="post-title">Google Data Analytics Certificate</h2>
-
-
-
-    </a>
-
-    <p class="post-meta">
-        <span class="post-meta">
-
-
-  <i class="fas fa-calendar"></i>&nbsp;Posted on July 18, 2022
-
-
-    &nbsp;|&nbsp;<i class="fas fa-clock"></i>&nbsp;1&nbsp;minutes
-
-
-    &nbsp;|&nbsp;<i class="fas fa-book"></i>&nbsp;174&nbsp;words
-
-
-
-      &nbsp;|&nbsp;<i class="fas fa-user"></i>&nbsp;Teddy Wong
-
-
-
-</span>
-
-
-    </p>
-    <div class="post-entry">
-
-        I&rsquo;ve finally completed the Coursera Google Data Analytics Certificate.
-I think the course is great for beginners in data analytics. For me it was a great refresher on SQL and R but the other sections were not all that useful. The course did motivate me to learn R (again) and this blog site is probably a result of that.
-I think the course could use more on statistical thinking and spending more time on probability since data analysts could really use that in their work.
-        <a href="https://www.codelooper.com/post/google-data-analytics-certificate/" class="post-read-more">[Read More]</a>
-
-    </div>
-
-
-    <div class="blog-tags">
-
-        <a href="https://www.codelooper.com/tags/education/">Education</a>&nbsp;
-
-        <a href="https://www.codelooper.com/tags/data-analytics/">Data Analytics</a>&nbsp;
-
-        <a href="https://www.codelooper.com/tags/r/">R</a>&nbsp;
-
-        <a href="https://www.codelooper.com/tags/google/">Google</a>&nbsp;
-
-    </div>
-
-
 </article>
 
         </div>