Changes for WS 2022 (#11)

* Update README.md Update dates for WS 2022 * rename 'path explorer' to 'space explorer' * remove deadlines * remove brackets from TODOs Co-authored-by: Klaus Eckelt <[email protected]>
JKU-ICG · Oct 12, 2022 · dd6c3f0 · dd6c3f0
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diff --git a/README.md b/README.md
@@ -6,18 +6,18 @@ Exemplary solutions are provided in the `solution_rubik.ipynb` and `solution_204
 
 Further examples to analyze are (board) games and approximation algorithms. The 2048 notebook uses [OpenAI Gym](https://gym.openai.com/) to create a game environment and produce state data. There is a variety of first and third party environments for Gym that can be used.
 
-## General Information Submission due on 03.11.2021, 23:59
+## General Information Submission
 
 For the intermediate submission, please enter the group and dataset information. Coding is not yet necessary.
 
 **Group Members**
 
 | Student ID    | First Name  | Last Name      | E-Mail |  Workload [%] |
 | --------------|-------------|----------------|--------|---------------|
-| [TODO]        | [TODO]      | [TODO]         |[TODO]  |[TODO]         |
-| [TODO]        | [TODO]      | [TODO]         |[TODO]  |[TODO]         |
-| [TODO]        | [TODO]      | [TODO]         |[TODO]  |[TODO]         |
-| [TODO]        | [TODO]      | [TODO]         |[TODO]  |[TODO]         |
+| TODO        | TODO      | TODO         |TODO  |TODO         |
+| TODO        | TODO      | TODO         |TODO  |TODO         |
+| TODO        | TODO      | TODO         |TODO  |TODO         |
+| TODO        | TODO      | TODO         |TODO  |TODO         |
 
 ### Dataset
 Please add your dataset to the repository (or provide a link if it is too large) and answer the following questions about it:
@@ -28,24 +28,24 @@ Please add your dataset to the repository (or provide a link if it is too large)
 * What do you want to analyze?
 * What are you expecting to see?
 
-[TODO]
+TODO
 
 
-## Final Submission due on 10.11.2021, 23:59
+## Final Submission
 
 * Make sure that you pushed your GitHub repository and not just committed it locally.
 * Sending us an email with the code is not necessary.
 * Update the *environment.yml* file if you need additional libraries, otherwise the code is not executeable.
-* Create a single notebook with your solution, e.g. solution.ipynb.
+* Create a single, clearly named notebook with your solution, e.g. solution.ipynb.
 * Save your final executed notebook as html (File > Download as > HTML) and add them to your repository.
 
 
 ## Development Environment
 
 Checkout this repo and change into the folder:
 ```
-git clone https://github.com/jku-icg-classroom/xai_proj_space_2021-<GROUP_NAME>.git
-cd xai_proj_space_2021-<GROUP_NAME>
+git clone https://github.com/jku-icg-classroom/xai_proj_space_2022-<GROUP_NAME>.git
+cd xai_proj_space_2022-<GROUP_NAME>
 ```
 
 Load the conda environment from the shared `environment.yml` file:

diff --git a/solution_2048.html b/solution_2048.html
@@ -15945,18 +15945,18 @@ <h2 id="Optional">Optional<a class="anchor-link" href="#Optional">&#182;</a></h2
 
 <h2>Projection Space Explorer</h2>
 
-The <a href="https://jku-vds-lab.at/projection-space-explorer/">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. 
+The <a href="https://jku-vds-lab.at/pse/">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. 
 Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors.
 
 Further Information:
 <ul>
-    <li>Paper: https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/
-    <li>Repo: https://github.com/jku-vds-lab/projection-space-explorer
-    <li>Application: https://jku-vds-lab.at/projection-space-explorer/
+    <li>Paper: <a href="https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/">https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/</a>
+    <li>Repo: <a href="https://github.com/jku-vds-lab/projection-space-explorer/">https://github.com/jku-vds-lab/projection-space-explorer/</a>
+    <li>Application Overview: <a href="https://jku-vds-lab.at/pse/">https://jku-vds-lab.at/pse/</a>
 </ul>
 
 <h3>Data Format</h3>
-How to format the data can be found in the <a href="https://github.com/jku-vds-lab/projection-space-explorer#data-format">Projection Space Explorer's README</a>.
+How to format the data can be found in the <a href="https://github.com/jku-vds-lab/projection-space-explorer/#data-format">Projection Space Explorer's README</a>.
 
 Example data with three lines, with two colors (algo) and additional mark encoding (cp):
 
@@ -16082,7 +16082,7 @@ <h3>Data Format</h3>
 
 
 Save the dataset to CSV, e.g. using pandas: <tt>df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False)</tt>  
-    and upload it in the <a href="https://jku-vds-lab.at/projection-space-explorer/">Projection Space Explorer</a> by clicking on `LOAD DATASET` in the top left corner.
+    and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner.
 
 ℹ You can also include your high dimensionmal data and use it to adapt the visualization.
 

diff --git a/solution_2048.ipynb b/solution_2048.ipynb
@@ -621,8 +621,7 @@
    "metadata": {
     "collapsed": true,
     "jupyter": {
-     "outputs_hidden": true,
-     "source_hidden": true
+     "outputs_hidden": true
     },
     "tags": []
    },
@@ -1303,18 +1302,18 @@
     "    \n",
     "<h2>Projection Space Explorer</h2>\n",
     "\n",
-    "The <a href=\"https://jku-vds-lab.at/projection-space-explorer/\">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. \n",
+    "The <a href=\"https://jku-vds-lab.at/pse/\">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. \n",
     "Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors.\n",
     "    \n",
     "Further Information:\n",
     "<ul>\n",
-    "    <li>Paper: https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/\n",
-    "    <li>Repo: https://github.com/jku-vds-lab/projection-space-explorer\n",
-    "    <li>Application: https://jku-vds-lab.at/projection-space-explorer/\n",
+    "    <li>Paper: <a href=\"https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/\">https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/</a>\n",
+    "    <li>Repo: <a href=\"https://github.com/jku-vds-lab/projection-space-explorer/\">https://github.com/jku-vds-lab/projection-space-explorer/</a>\n",
+    "    <li>Application Overview: <a href=\"https://jku-vds-lab.at/pse/\">https://jku-vds-lab.at/pse/</a>\n",
     "</ul>\n",
     "\n",
     "<h3>Data Format</h3>\n",
-    "How to format the data can be found in the <a href=\"https://github.com/jku-vds-lab/projection-space-explorer#data-format\">Projection Space Explorer's README</a>.\n",
+    "How to format the data can be found in the <a href=\"https://github.com/jku-vds-lab/projection-space-explorer/#data-format\">Projection Space Explorer's README</a>.\n",
     "\n",
     "Example data with three lines, with two colors (algo) and additional mark encoding (cp):\n",
     "\n",
@@ -1440,7 +1439,7 @@
     "\n",
     "\n",
     "Save the dataset to CSV, e.g. using pandas: <tt>df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False)</tt>  \n",
-    "    and upload it in the <a href=\"https://jku-vds-lab.at/projection-space-explorer/\">Projection Space Explorer</a> by clicking on `LOAD DATASET` in the top left corner.\n",
+    "    and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner.\n",
     "    \n",
     "ℹ You can also include your high dimensionmal data and use it to adapt the visualization.\n",
     "    \n",

diff --git a/solution_rubik.html b/solution_rubik.html
@@ -16157,18 +16157,18 @@ <h2 id="Optional">Optional<a class="anchor-link" href="#Optional">&#182;</a></h2
 
 <h2>Projection Space Explorer</h2>
 
-The <a href="https://jku-vds-lab.at/projection-space-explorer/">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. 
+The <a href="https://jku-vds-lab.at/pse/">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. 
 Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors.
 
 Further Information:
 <ul>
-    <li>Paper: https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/
-    <li>Repo: https://github.com/jku-vds-lab/projection-space-explorer
-    <li>Application: https://jku-vds-lab.at/projection-space-explorer/
+    <li>Paper: <a href="https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/">https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/</a>
+    <li>Repo: <a href="https://github.com/jku-vds-lab/projection-space-explorer/">https://github.com/jku-vds-lab/projection-space-explorer/</a>
+    <li>Application Overview: <a href="https://jku-vds-lab.at/pse/">https://jku-vds-lab.at/pse/</a>
 </ul>
 
 <h3>Data Format</h3>
-How to format the data can be found in the <a href="https://github.com/jku-vds-lab/projection-space-explorer#data-format">Projection Space Explorer's README</a>.
+How to format the data can be found in the <a href="https://github.com/jku-vds-lab/projection-space-explorer/#data-format">Projection Space Explorer's README</a>.
 
 Example data with three lines, with two colors (algo) and additional mark encoding (cp):
 
@@ -16294,7 +16294,7 @@ <h3>Data Format</h3>
 
 
 Save the dataset to CSV, e.g. using pandas: <tt>df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False)</tt>  
-    and upload it in the <a href="https://jku-vds-lab.at/projection-space-explorer/">Projection Space Explorer</a> by clicking on `LOAD DATASET` in the top left corner.
+    and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner.
 
 ℹ You can also include your high dimensionmal data and use it to adapt the visualization.
 

diff --git a/solution_rubik.ipynb b/solution_rubik.ipynb
@@ -1568,18 +1568,18 @@
     "    \n",
     "<h2>Projection Space Explorer</h2>\n",
     "\n",
-    "The <a href=\"https://jku-vds-lab.at/projection-space-explorer/\">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. \n",
+    "The <a href=\"https://jku-vds-lab.at/pse/\">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. \n",
     "Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors.\n",
     "    \n",
     "Further Information:\n",
     "<ul>\n",
-    "    <li>Paper: https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/\n",
-    "    <li>Repo: https://github.com/jku-vds-lab/projection-space-explorer\n",
-    "    <li>Application: https://jku-vds-lab.at/projection-space-explorer/\n",
+    "    <li>Paper: <a href=\"https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/\">https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/</a>\n",
+    "    <li>Repo: <a href=\"https://github.com/jku-vds-lab/projection-space-explorer/\">https://github.com/jku-vds-lab/projection-space-explorer/</a>\n",
+    "    <li>Application Overview: <a href=\"https://jku-vds-lab.at/pse/\">https://jku-vds-lab.at/pse/</a>\n",
     "</ul>\n",
     "\n",
     "<h3>Data Format</h3>\n",
-    "How to format the data can be found in the <a href=\"https://github.com/jku-vds-lab/projection-space-explorer#data-format\">Projection Space Explorer's README</a>.\n",
+    "How to format the data can be found in the <a href=\"https://github.com/jku-vds-lab/projection-space-explorer/#data-format\">Projection Space Explorer's README</a>.\n",
     "\n",
     "Example data with three lines, with two colors (algo) and additional mark encoding (cp):\n",
     "\n",
@@ -1705,7 +1705,7 @@
     "\n",
     "\n",
     "Save the dataset to CSV, e.g. using pandas: <tt>df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False)</tt>  \n",
-    "    and upload it in the <a href=\"https://jku-vds-lab.at/projection-space-explorer/\">Projection Space Explorer</a> by clicking on `LOAD DATASET` in the top left corner.\n",
+    "    and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner.\n",
     "    \n",
     "ℹ You can also include your high dimensionmal data and use it to adapt the visualization.\n",
     "    \n",

diff --git a/template.ipynb b/template.ipynb
@@ -169,27 +169,30 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true,
+    "tags": []
+   },
    "source": [
     "## Optional\n",
     "<details>\n",
-    "    <summary><a>Projection Path Explorer (click to reveal)</a></summary>\n",
+    "    <summary><a>Projection Space Explorer (click to reveal)</a></summary>\n",
     "\n",
     "    \n",
-    "<h2>Projection Path Explorer</h2>\n",
+    "<h2>Projection Space Explorer</h2>\n",
     "\n",
-    "The <a href=\"https://develop--projection-path-explorer.netlify.app/\">Projection Path Explorer</a> is a web application to plot and connect two dimensional points. \n",
+    "The <a href=\"https://jku-vds-lab.at/pse/\">Projection Space Explorer</a> is a web application to plot and connect two dimensional points. \n",
     "Metadata of the data points can be used to encode additonal information into the projection, e.g., by using different shapes or colors.\n",
     "    \n",
     "Further Information:\n",
     "<ul>\n",
-    "    <li>Paper: https://arxiv.org/abs/2001.08372\n",
-    "    <li>Repo: https://github.com/JKU-ICG/projection-path-explorer\n",
-    "    <li>Application: https://develop--projection-path-explorer.netlify.app/\n",
+    "    <li>Paper: <a href=\"https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/\">https://jku-vds-lab.at/publications/2020_tiis_pathexplorer/</a>\n",
+    "    <li>Repo: <a href=\"https://github.com/jku-vds-lab/projection-space-explorer/\">https://github.com/jku-vds-lab/projection-space-explorer/</a>\n",
+    "    <li>Application Overview: <a href=\"https://jku-vds-lab.at/pse/\">https://jku-vds-lab.at/pse/</a>\n",
     "</ul>\n",
     "\n",
     "<h3>Data Format</h3>\n",
-    "How to format the data can be found in the <a href=\"https://github.com/JKU-ICG/projection-path-explorer/#data-format\">Projection Path Explorer'S README</a>.\n",
+    "How to format the data can be found in the <a href=\"https://github.com/jku-vds-lab/projection-space-explorer/#data-format\">Projection Space Explorer's README</a>.\n",
     "\n",
     "Example data with three lines, with two colors (algo) and additional mark encoding (cp):\n",
     "\n",
@@ -315,7 +318,7 @@
     "\n",
     "\n",
     "Save the dataset to CSV, e.g. using pandas: <tt>df.to_csv('data_path_explorer.csv', encoding='utf-8', index=False)</tt>  \n",
-    "    and upload it in the <a href=\"https://develop--projection-path-explorer.netlify.app/\">Projection Path Explorer</a> by clicking on `LOAD DATASET` in the top left corner.\n",
+    "    and upload it in the Projection Space Explorer by clicking on `OPEN FILE` in the top left corner.\n",
     "    \n",
     "ℹ You can also include your high dimensionmal data and use it to adapt the visualization.\n",
     "    \n",
@@ -327,7 +330,7 @@
    "metadata": {},
    "source": [
     "## Results\n",
-    "You may add additional screenshots of the Projection Path Explorer."
+    "You may add additional screenshots of the Projection Space Explorer."
    ]
   },
   {
@@ -363,7 +366,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -377,7 +380,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.6"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,