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diff --git a/README.html b/README.html
@@ -426,6 +426,9 @@ <h2> Contents </h2>
   <p><a class="reference external" href="https://florian-huber.github.io/data_science_course/"><img alt="Jupyter Book Badge" src="https://jupyterbook.org/badge.svg" /></a>
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+<p align="center">
+    <img src="https://github.com/florian-huber/data_science_course/blob/main/images/book_cover_graph_231106_transparent.png" width="600" alt="Book cover">
+</p>
 <section class="tex2jax_ignore mathjax_ignore" id="introduction-to-data-science-for-not-yet-scientists">
 <h1>Introduction to data science (for not yet scientists)<a class="headerlink" href="#introduction-to-data-science-for-not-yet-scientists" title="Permalink to this heading">#</a></h1>
 <p>Data Science course developed at the Düsseldorf University of Applied Sciences (HSD) and the Centre for Digitalization and Digitality (ZDD).</p>

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diff --git a/_sources/README.md b/_sources/README.md
@@ -2,9 +2,9 @@
 ![GitHub Workflow Status (with event)](https://img.shields.io/github/actions/workflow/status/florian-huber/data_science_course/deploy_book.yml?label=Deploy%20book)
 ![GitHub Workflow Status (with event)](https://img.shields.io/github/actions/workflow/status/florian-huber/data_science_course/CI_tests.yml)
 
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+<p align="center">
+    <img src="https://github.com/florian-huber/data_science_course/blob/main/images/book_cover_graph_231106_transparent.png" width="600" alt="Book cover">
+</p>
 
 # Introduction to data science (for not yet scientists)
 Data Science course developed at the Düsseldorf University of Applied Sciences (HSD) and the Centre for Digitalization and Digitality (ZDD).

diff --git a/_sources/notebooks/live_coding_04_distributions_statistical_measures.ipynb b/_sources/notebooks/live_coding_04_distributions_statistical_measures.ipynb
@@ -936,7 +936,7 @@
    "source": [
     "## Let's talk money\n",
     "\n",
-    "In real life we will come across distributions of all shapes, often non-symmetric. An even though it is considered polite in many cultures to not talk too much about our own wealth and incomes, we all probably know that income and wealth are unlikely to be narrow, symmetric distributions where most people have more or less the same, and earn more or less the same. I will leave the political debates up to you (but secretly do hope to spark some). \n",
+    "In real life we will come across distributions of all shapes, often non-symmetric. And even though it is considered polite in many cultures to not talk too much about our own wealth and incomes, we all probably know that income and wealth are unlikely to be narrow, symmetric distributions where most people have more or less the same, and earn more or less the same. I will leave the political debates up to you (but secretly do hope to spark some). \n",
     "\n",
     "To me, things like wealth and income are good topics to learn about basic statistics. First, because we all know *something* about money and to some extend care about money (even if we say otherwise). And second, because it is full of striking example of skewed distributions. In fact, let me quote Thomas Piketty here {cite}`piketty_capital_2014`:\n",
     "\n",
@@ -1997,7 +1997,7 @@
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+   "version": "3.10.13"
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