week 5

nicucalcea · Oct 28, 2024 · 0474077 · 0474077
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diff --git a/ai/python-classification-rag.ipynb b/ai/python-classification-rag.ipynb
@@ -103,9 +103,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "You will need an API key [from OpenAI](https://platform.openai.com/account/api-keys) or another provider.\n",
-        "\n",
-        "<span hidden>Get a <a href=\"https://static.globalwitness.org/openai-api-key.txt\" target=\"_blank\">temporary API key here</a>.</span>"
+        "You will need an API key [from OpenAI](https://platform.openai.com/account/api-keys) or another provider."
       ]
     },
     {

diff --git a/city/index.qmd b/city/index.qmd
@@ -815,7 +815,7 @@ Deliverables
 
 - A 20-25 minute long [narrated PowerPoint presentation](https://support.microsoft.com/en-us/office/record-audio-narration-for-your-powerpoint-presentation-232d5fec-fc90-4abb-9332-c469d336d947).
 - A 500-word group reflection, with appropriate references (Harvard and I suggest using Zotero as citation manager).
-- Fill in [this spreadsheet](https://docs.google.com/spreadsheets/d/1_OVgO5ExbH_Xe8FOipb0LAAh4DUbMZ4RI9G3ZxgVfI0/edit#gid=0) with your name and the project you're working on.
+- Fill in [this spreadsheet](https://docs.google.com/spreadsheets/d/1sqBUIQ1defxAQ-uGQAdFW6SUztwWCk_676Ynuj0HG80/edit?usp=sharing) with your name and the project you're working on.
 
 
 
@@ -825,9 +825,13 @@ Deliverables
 - [[email protected]](mailto:[email protected])
 
 
-<!-- # Week 5
 
-Data [Stories]<br>
+
+
+
+# Week 5
+
+**Data Stories**<br>
 <a href='https://ddj.nicu.md/city/'>https://ddj.nicu.md/city/</a>
 
 
@@ -914,7 +918,7 @@ Animate over time ![](media/ft/scatter-5.gif){.absolute top=100 right=20 height=
 https://www.ft.com/content/e2eba288-ef83-11e6-930f-061b01e23655
 :::
 
-## FT Vocabulary
+## FT Vocabulary {background-color="#ffffff"}
 
 ![](https://raw.githubusercontent.com/Financial-Times/chart-doctor/main/visual-vocabulary/poster.png){.absolute top=0 left=0 height="800"}
 
@@ -934,26 +938,20 @@ Source: [FT](https://github.com/Financial-Times/chart-doctor/tree/main/visual-vo
 
 ## Gapminder exercise {.smaller}
 
-1. Make a copy of the [Gapminder data](https://www.gapminder.org/data/).
-2. Working in groups, think of stories to tell based on this data.
-3. What would you visualise to support your story/stories?
-4. Would you look for any other datasets you can combine with this?
-5. Scout out your visualisation ideas either on pen & paper, using Google Sheets charts or using a platform like [Datawrapper](https://www.datawrapper.de/) or [Flourish](https://flourish.studio/).
-6. If you have time left, discuss plans for the group assignment.
+1. Download the "Life expectancy" and "Fertiliy rate" (and "Population" if you want) datasets from [Gapminder](https://www.gapminder.org/data/).
+2. Use `XLOOKUP` to join the datasets.
+3. Reproduce Hans Rosling's chart in Google Sheets.
 
 ## Gapminder exercise
 <style>.embed-container { position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; } .embed-container iframe, .embed-container object, .embed-container embed { position: absolute; top: 0; left: 0; width: 100%; height: 100%; }</style><div class='embed-container'><iframe src='https://www.gapminder.org/tools/' frameborder='0' allowfullscreen></iframe></div>
 
-## IMDb exercise {.smaller}
 
-TODO: Upload this somewhere so students don't have to log in
+## Police crime exercise
 
-1. Make a copy of the [IMDb data](https://www.kaggle.com/datasets/yehorkorzh/imdb-top-250-movies).
-2. Working in groups, think of stories to tell based on this data.
-3. What would you visualise to support your story/stories?
-4. Would you look for any other datasets you can combine with this?
-5. Scout out your visualisation ideas either on pen & paper, using Google Sheets charts or using a platform like [Datawrapper](https://www.datawrapper.de/) or [Flourish](https://flourish.studio/).
-6. If you have time left, discuss plans for the group assignment.
+1. Download the [Police recorded crime open data Police Force Area tables, year ending March 2013 onwards](https://www.gov.uk/government/statistics/police-recorded-crime-open-data-tables) table.
+2. Working in groups of two, think of stories to tell based on this data.
+3. Write a couple headlines based on your analysis.
+4. Choose a headline and make a chart.
 
 ## Contact
 
@@ -962,7 +960,7 @@ TODO: Upload this somewhere so students don't have to log in
 
 ::: notes
 Please make Flourish and Datawrapper accounts
-::: -->
+:::
 
 
 <!-- # Week 6

diff --git a/docs/ai/python-classification-rag.html b/docs/ai/python-classification-rag.html
@@ -339,7 +339,6 @@ <h2 class="anchored" data-anchor-id="install-and-load-libraries">Install and loa
 <span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> json</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 </div>
 <p>You will need an API key <a href="https://platform.openai.com/account/api-keys">from OpenAI</a> or another provider.</p>
-<p><span hidden="">Get a <a href="https://static.globalwitness.org/openai-api-key.txt" target="_blank">temporary API key here</a>.</span></p>
 </section>
 <section id="prep-data" class="level2">
 <h2 class="anchored" data-anchor-id="prep-data">Prep data</h2>