updates

_data/class.yml

@@ -4,11 +4,6 @@ instructor:
   office: Online
   office_hours: TBD
 tas:
-  -
-    name: Yilin Xia 
-    email: yilinx2@illinois.edu
-    office: TBD
-    office_hours: TBD
   -
     name: Sullam Jeoung
     email: sjeoung2@illinois.edu

_site/index.html

@@ -1820,7 +1820,7 @@ <h3 class="subtitle">
                     <span class="icon is-large"><i class="fas fa-3x fa-chalkboard-teacher"></i></span>
                 </figure>
                 <div class="media-content">
-                    <p><a href="/is445_bcubcg_fall2024/week12/lecture10.html">Lecture 10.1 - Publishing & more in Jekyll</a></p><p>Publishing your viz, vega-lite with Altair in a Jekyll page</p>
+                    <p><a href="/is445_bcubcg_fall2024/week12/lecture11p1.html">Lecture 11.1 - Publishing & more in Jekyll</a></p><p>Publishing your viz, vega-lite with Altair in a Jekyll page</p>
                 </div>
             </article>
 

_site/syllabus.html

@@ -142,13 +142,6 @@ <h1 id="syllabus">Data Visualization Syllabus</h1>
   <td>
   <ul>
 
-  <li>Instructional Assistant: Yilin Xia</li>
-  <ul>
-    <li>Email: yilinx2@illinois.edu</li>
-    <li>Office: TBD</li>
-    <li>Office Hours: TBD</li>
-  </ul>
-
   <li>Instructional Assistant: Sullam Jeoung</li>
   <ul>
     <li>Email: sjeoung2@illinois.edu</li>

_site/week01/installation_instructions.html

@@ -198,7 +198,7 @@ <h4 id="tips-and-tricks">Tips and Tricks</h4>
 
 <p>HERE NEEDS TO BE FIXED</p>
 
-<p>If the install fails or there are package conflicts you can try with Python 3.8 or Python 3.9.  For example to re-install with Python 3.8 the command becomes: <code class="language-plaintext highlighter-rouge">conda create -n DataViz python=3.8 seaborn plotly pygraphviz pandas matplotlib=3.2.2 bqplot=0.12.30 numpy regex networkx openssl altair yt geopandas gdal rasterio shapely pyproj rtree fiona pillow palettable h5py contextily webcolors openpyxl ipyleaflet vega_datasets nltk wordcloud -c conda-forge</code></p>
+<p>If the install fails or there are package conflicts you can try with Python 3.8 or Python 3.9.  For example to re-install with Python 3.8 the command becomes: <code class="language-plaintext highlighter-rouge">conda create -n DataViz python=3.8 seaborn plotly pygraphviz pandas matplotlib=3.2.2 bqplot=0.12.30 numpy regex networkx openssl altair yt geopandas gdal rasterio shapely pyproj rtree fiona pillow palettable h5py contextily webcolors openpyxl ipyleaflet vega_datasets nltk wordcloud -c conda-forge ; conda activate DataViz ; pip install streamlit</code></p>
 
 <h2 id="3-run--test-your-environment">3. Run &amp; Test your environment</h2>
 

_site/week10/index.html

@@ -132,7 +132,7 @@ <h2 id="optional-reading-list">Optional reading list</h2>
 <ol>
   <li><a href="https://medium.com/multiple-views-visualization-research-explained/same-data-multiple-perspectives-curse-of-knowledge-in-visual-data-communication-d827c381f936">Same Data, Multiple Perspectives</a></li>
   <li><a href="https://serialmentor.com/dataviz/telling-a-story.html">FDV, Ch. 29: Telling a story and making a point</a></li>
-  <li><a href="https://streamlit.io/">Streamlit docs</a></li>
+  <li><a href="https://streamlit.io/">Streamlit docs</a> - in particular the <a href="https://docs.streamlit.io/get-started/fundamentals/main-concepts">the Main Concepts </a> and  <a href="https://docs.streamlit.io/get-started/tutorials/create-an-app">Make an App</a> tutorials, and the docs for <a href="https://docs.streamlit.io/develop/api-reference/text">text</a>, <a href="https://docs.streamlit.io/develop/api-reference/layout">layout</a> and <a href="https://docs.streamlit.io/develop/api-reference/media/st.image">image</a> API elements</li>
   <li><a href="https://huggingface.co/docs/hub/en/spaces-sdks-streamlit">Streamlit on HuggingFace</a></li>
   <li><a href="https://altair-viz.github.io/gallery/index.html">Altair Docs</a> - in particular <a href="https://altair-viz.github.io/user_guide/data.html#including-index-data">Including Indexes</a>, <a href="https://altair-viz.github.io/altair-tutorial/notebooks/06-Selections.html">Interactivity &amp; Selections</a>, <a href="https://altair-viz.github.io/gallery/multiline_tooltip.html#multi-line-tooltip">Multi-line tooltips</a>, <a href="https://altair-viz.github.io/user_guide/interactions.html#bindings-selections-conditions-making-charts-interactive">Interactive Binning</a>, <a href="https://altair-viz.github.io/user_guide/transform/filter.html#filter-transform">Filter Transformations</a></li>
 </ol>

_site/week11/prep_script_week11.py

@@ -1,17 +0,0 @@
-
-
-
-# day 2/3 -- "grab bag" of other things
-# touch on widgets! -- do quick example of plot + widget, say we'll focus on Altair
-# multi-page apps? ==> maybe day 2? ==> does this work with HF apps??
-# matplotlib plots
-# other plotting tools in ST (like the defaults) + widgets
-#* https://docs.streamlit.io/develop/tutorials/databases <- touch on but say we'll be just doing csv files
-# embedding streamlit spaces on other webpages? wait until Jekyll? https://huggingface.co/docs/hub/en/spaces-sdks-streamlit#embed-streamlit-spaces-on-other-webpages
-# how to search/duplicate other spaces on HF (make sure you cite this!)
-
-# start with "this is how we publish with streamlit" -- README file, requirements, etc
-# ---> make sure to mention the "yaml-ness" of the README file
-# ---> say that the easiest way to start is with an already hosted app on HF -- luckily we alread have a lab on this!
-# ---> make this like the "jekyll updates" folders that have all these prep and in class files in them
-# Then: more streamlit extras with all of those ones listed above

_site/week12/index.html

@@ -163,7 +163,7 @@ <h2 class="subtitle">Lectures</h2>
                 <span class="icon is-large"><i class="fas fa-3x fa-chalkboard-teacher"></i></span>
             </figure>
             <div class="media-content">
-                <p><a href="/is445_bcubcg_fall2024/week12/lecture10.html">Lecture 10.1 - Publishing & more in Jekyll</a></p><p>Publishing your viz, vega-lite with Altair in a Jekyll page</p>
+                <p><a href="/is445_bcubcg_fall2024/week12/lecture11p1.html">Lecture 11.1 - Publishing & more in Jekyll</a></p><p>Publishing your viz, vega-lite with Altair in a Jekyll page</p>
             </div>
         </article>
 

_site/week12/lecture10.html → _site/week12/lecture11p1.html

@@ -4,7 +4,7 @@
 <meta charset="utf-8">
 <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
 
-<title>Lecture 10.1 - Publishing & more in Jekyll</title>
+<title>Lecture 11.1 - Publishing & more in Jekyll</title>
 
 <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/reveal.js@4.0.2/dist/reset.css">
 <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/reveal.js@4.0.2/dist/reveal.css">
@@ -32,7 +32,7 @@
     <div class="reveal">
       <div class="slides">
           <section class="titleslide">
-              <h1>Lecture 10.1 - Publishing & more in Jekyll</h1>
+              <h1>Lecture 11.1 - Publishing & more in Jekyll</h1>
               <h2>Jill Naiman</h2>
               <h2>Data Visualization - Fall 2024</h2>
           </section>

week01/installation_instructions.md

@@ -81,7 +81,7 @@ A successful installation is indicated by seeing the following:
 
 HERE NEEDS TO BE FIXED
 
-If the install fails or there are package conflicts you can try with Python 3.8 or Python 3.9.  For example to re-install with Python 3.8 the command becomes: `conda create -n DataViz python=3.8 seaborn plotly pygraphviz pandas matplotlib=3.2.2 bqplot=0.12.30 numpy regex networkx openssl altair yt geopandas gdal rasterio shapely pyproj rtree fiona pillow palettable h5py contextily webcolors openpyxl ipyleaflet vega_datasets nltk wordcloud -c conda-forge`
+If the install fails or there are package conflicts you can try with Python 3.8 or Python 3.9.  For example to re-install with Python 3.8 the command becomes: `conda create -n DataViz python=3.8 seaborn plotly pygraphviz pandas matplotlib=3.2.2 bqplot=0.12.30 numpy regex networkx openssl altair yt geopandas gdal rasterio shapely pyproj rtree fiona pillow palettable h5py contextily webcolors openpyxl ipyleaflet vega_datasets nltk wordcloud -c conda-forge ; conda activate DataViz ; pip install streamlit`
 
 
 

week10/index.md

@@ -54,8 +54,8 @@ Viz for self/peers/public.
 
 ## Optional reading list
 
- 1. <a href="https://medium.com/multiple-views-visualization-research-explained/same-data-multiple-perspectives-curse-of-knowledge-in-visual-data-communication-d827c381f936">Same Data, Multiple Perspectives</a>
- 2. <a href="https://serialmentor.com/dataviz/telling-a-story.html">FDV, Ch. 29: Telling a story and making a point</a>
- 3. <a href="https://streamlit.io/">Streamlit docs</a>
+ 1. <a href="https://medium.com/multiple-views-visualization-research-explained/same-data-multiple-perspectives-curse-of-knowledge-in-visual-data-communication-d827c381f936">Same Data, Multiple Perspectives</a> 
+ 2. <a href="https://serialmentor.com/dataviz/telling-a-story.html">FDV, Ch. 29: Telling a story and making a point</a> 
+ 3. <a href="https://streamlit.io/">Streamlit docs</a> - in particular the <a href="https://docs.streamlit.io/get-started/fundamentals/main-concepts">the Main Concepts </a> and  <a href="https://docs.streamlit.io/get-started/tutorials/create-an-app">Make an App</a> tutorials, and the docs for <a href="https://docs.streamlit.io/develop/api-reference/text">text</a>, <a href="https://docs.streamlit.io/develop/api-reference/layout">layout</a> and <a href="https://docs.streamlit.io/develop/api-reference/media/st.image">image</a> API elements
  4. <a href="https://huggingface.co/docs/hub/en/spaces-sdks-streamlit">Streamlit on HuggingFace</a>
  5. <a href="https://altair-viz.github.io/gallery/index.html">Altair Docs</a> - in particular <a href="https://altair-viz.github.io/user_guide/data.html#including-index-data">Including Indexes</a>, <a href="https://altair-viz.github.io/altair-tutorial/notebooks/06-Selections.html">Interactivity & Selections</a>, <a href="https://altair-viz.github.io/gallery/multiline_tooltip.html#multi-line-tooltip">Multi-line tooltips</a>, <a href="https://altair-viz.github.io/user_guide/interactions.html#bindings-selections-conditions-making-charts-interactive">Interactive Binning</a>, <a href="https://altair-viz.github.io/user_guide/transform/filter.html#filter-transform">Filter Transformations</a>

week11/prep_script_week11.py

@@ -1,17 +0,0 @@
-
-
-
-# day 2/3 -- "grab bag" of other things
-# touch on widgets! -- do quick example of plot + widget, say we'll focus on Altair
-# multi-page apps? ==> maybe day 2? ==> does this work with HF apps??
-# matplotlib plots
-# other plotting tools in ST (like the defaults) + widgets
-#* https://docs.streamlit.io/develop/tutorials/databases <- touch on but say we'll be just doing csv files
-# embedding streamlit spaces on other webpages? wait until Jekyll? https://huggingface.co/docs/hub/en/spaces-sdks-streamlit#embed-streamlit-spaces-on-other-webpages
-# how to search/duplicate other spaces on HF (make sure you cite this!)
-
-# start with "this is how we publish with streamlit" -- README file, requirements, etc
-# ---> make sure to mention the "yaml-ness" of the README file
-# ---> say that the easiest way to start is with an already hosted app on HF -- luckily we alread have a lab on this!
-# ---> make this like the "jekyll updates" folders that have all these prep and in class files in them
-# Then: more streamlit extras with all of those ones listed above

week12/lecture10.md → week12/lecture11p1.md

@@ -1,5 +1,5 @@
 ---
-title: Lecture 10.1 - Publishing & more in Jekyll
+title: Lecture 11.1 - Publishing & more in Jekyll
 layout: lecture
 description: >-
  Publishing your viz, vega-lite with Altair in a Jekyll page