From e34ee0b5e97d1047bbf0ff715bf1992679925a77 Mon Sep 17 00:00:00 2001
From: Sortofamudkip <wishyutp0328@gmail.com>
Date: Sat, 15 Jul 2023 20:49:56 +0200
Subject: [PATCH] Updated Sphinx documentation

---
 docs/_build/doctrees/environment.pickle       | Bin 275887 -> 324478 bytes
 docs/_build/doctrees/index.doctree            | Bin 7872 -> 5844 bytes
 docs/_build/doctrees/source/src.doctree       | Bin 164909 -> 198579 bytes
 docs/_build/html/_sources/index.rst.txt       |   8 +-
 docs/_build/html/genindex.html                |  35 +-
 docs/_build/html/index.html                   |  22 +-
 docs/_build/html/objects.inv                  | Bin 817 -> 861 bytes
 docs/_build/html/py-modindex.html             |   2 +-
 docs/_build/html/search.html                  |   2 +-
 docs/_build/html/searchindex.js               |   2 +-
 docs/_build/html/source/modules.html          |  12 +-
 docs/_build/html/source/src.html              | 114 +++-
 ...mersdifferencessimiliratiresandlearnings.1 | 579 ------------------
 docs/index.rst                                |   6 +-
 src/Dataset.py                                |  46 +-
 15 files changed, 194 insertions(+), 634 deletions(-)
 delete mode 100644 docs/_build/man/anxietyincomputer-gamersdifferencessimiliratiresandlearnings.1

diff --git a/docs/_build/doctrees/environment.pickle b/docs/_build/doctrees/environment.pickle
index 279d664ab25dca222496193752999c77496a3f27..d31b9c3d3f27e3455944eda4039422f3c928ec83 100644
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diff --git a/docs/_build/doctrees/index.doctree b/docs/_build/doctrees/index.doctree
index 60a9b71849740e92ca3758098340ae9186169714..0b5c129c46a1998f61756d69b612d7003b84f392 100644
GIT binary patch
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diff --git a/docs/_build/doctrees/source/src.doctree b/docs/_build/doctrees/source/src.doctree
index da386a8d017868bca738343093cb76a24ee26386..8c7812fb0697746b43fbc33c1272f35d365d1507 100644
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diff --git a/docs/_build/html/_sources/index.rst.txt b/docs/_build/html/_sources/index.rst.txt
index 45c82ec..f6a64bb 100644
--- a/docs/_build/html/_sources/index.rst.txt
+++ b/docs/_build/html/_sources/index.rst.txt
@@ -1,4 +1,4 @@
-.. asdsd documentation master file, created by
+..  documentation master file, created by
    sphinx-quickstart on Fri Jul 14 02:13:49 2023.
    You can adapt this file completely to your liking, but it should at least
    contain the root `toctree` directive.
@@ -6,11 +6,13 @@
 Welcome to this project's documentation!
 ========================================
 
-.. include:: ../README.md
+This site contains the documentation of the functions written in this project.
+
+For a more detailed introduction to this project, please see the `README.md` in the top-level directory of this project.
 
 .. toctree::
    :maxdepth: 2
-   :caption: Contents:
+   :caption: Documentation contents:
 
    genindex
    search
diff --git a/docs/_build/html/genindex.html b/docs/_build/html/genindex.html
index e7d6fe2..94202f3 100644
--- a/docs/_build/html/genindex.html
+++ b/docs/_build/html/genindex.html
@@ -34,6 +34,7 @@
 <div class="genindex-jumpbox">
  <a href="#C"><strong>C</strong></a>
  | <a href="#D"><strong>D</strong></a>
+ | <a href="#F"><strong>F</strong></a>
  | <a href="#G"><strong>G</strong></a>
  | <a href="#M"><strong>M</strong></a>
  | <a href="#P"><strong>P</strong></a>
@@ -62,20 +63,36 @@
   </ul></td>
 </tr></table>
 
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="source/src.html#src.Dataset.Dataset.filtered_rows">filtered_rows() (src.Dataset.Dataset method)</a>
+</li>
+  </ul></td>
+</tr></table>
+
 <h2 id="G">G</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
       <li><a href="source/src.html#src.Dataset.Dataset.get_category_counts">get_category_counts() (src.Dataset.Dataset method)</a>
 </li>
-      <li><a href="source/src.html#src.Dataset.Dataset.get_combined_anxiety_score">get_combined_anxiety_score() (src.Dataset.Dataset method)</a>
+      <li><a href="source/src.html#src.Dataset.Dataset.get_column_count">get_column_count() (src.Dataset.Dataset method)</a>
 </li>
-      <li><a href="source/src.html#src.Dataset.Dataset.get_dataframe">get_dataframe() (src.Dataset.Dataset method)</a>
+      <li><a href="source/src.html#src.Dataset.Dataset.get_column_mean">get_column_mean() (src.Dataset.Dataset method)</a>
+</li>
+      <li><a href="source/src.html#src.Dataset.Dataset.get_columns">get_columns() (src.Dataset.Dataset method)</a>
+</li>
+      <li><a href="source/src.html#src.Dataset.Dataset.get_combined_anxiety_score">get_combined_anxiety_score() (src.Dataset.Dataset method)</a>
 </li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="source/src.html#src.Dataset.Dataset.get_dataframe">get_dataframe() (src.Dataset.Dataset method)</a>
+</li>
       <li><a href="source/src.html#src.Dataset.Dataset.get_is_competitive_col">get_is_competitive_col() (src.Dataset.Dataset method)</a>
 </li>
       <li><a href="source/src.html#src.Dataset.Dataset.get_is_narcissist_col">get_is_narcissist_col() (src.Dataset.Dataset method)</a>
+</li>
+      <li><a href="source/src.html#src.Dataset.Dataset.get_row_count">get_row_count() (src.Dataset.Dataset method)</a>
 </li>
       <li><a href="source/src.html#src.Dataset.Dataset.get_sorted_column">get_sorted_column() (src.Dataset.Dataset method)</a>
 </li>
@@ -207,11 +224,21 @@
 </li>
       <li><a href="source/src.html#src.test_plotter.test_distribution_plot">test_distribution_plot() (in module src.test_plotter)</a>
 </li>
-      <li><a href="source/src.html#src.test_dataset.test_get_dataframe">test_get_dataframe() (in module src.test_dataset)</a>
+      <li><a href="source/src.html#src.test_dataset.test_filtered_rows">test_filtered_rows() (in module src.test_dataset)</a>
+</li>
+      <li><a href="source/src.html#src.test_dataset.test_get_column_count">test_get_column_count() (in module src.test_dataset)</a>
+</li>
+      <li><a href="source/src.html#src.test_dataset.test_get_column_mean">test_get_column_mean() (in module src.test_dataset)</a>
+</li>
+      <li><a href="source/src.html#src.test_dataset.test_get_columns">test_get_columns() (in module src.test_dataset)</a>
 </li>
   </ul></td>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="source/src.html#src.test_dataset.test_get_dataframe">test_get_dataframe() (in module src.test_dataset)</a>
+</li>
       <li><a href="source/src.html#src.test_dataset.test_get_is_narcissist_col">test_get_is_narcissist_col() (in module src.test_dataset)</a>
+</li>
+      <li><a href="source/src.html#src.test_dataset.test_get_row_count">test_get_row_count() (in module src.test_dataset)</a>
 </li>
       <li><a href="source/src.html#src.test_dataset.test_get_sorted_columns">test_get_sorted_columns() (in module src.test_dataset)</a>
 </li>
@@ -260,7 +287,7 @@
 
 
 <h3>Navigation</h3>
-<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<p class="caption" role="heading"><span class="caption-text">Documentation contents:</span></p>
 <ul class="current">
 <li class="toctree-l1 current"><a class="current reference internal" href="#">Index</a></li>
 <li class="toctree-l1"><a class="reference internal" href="search.html">Search Page</a></li>
diff --git a/docs/_build/html/index.html b/docs/_build/html/index.html
index e724919..1c9574f 100644
--- a/docs/_build/html/index.html
+++ b/docs/_build/html/index.html
@@ -31,24 +31,10 @@
             
   <section id="welcome-to-this-project-s-documentation">
 <h1>Welcome to this project’s documentation!<a class="headerlink" href="#welcome-to-this-project-s-documentation" title="Permalink to this heading">¶</a></h1>
-<p>## Project Description</p>
-<p>## Installation</p>
-<p>## Usage</p>
-<p>## Features</p>
-<p>## Documentation</p>
-<p>## Contributing</p>
-<p>## Authors</p>
-<p>## License - Open Source Commitment and FAIR Software Development</p>
-<p>To embrace open source development and FAIR software development principles,
-we would like to encourage anyone interested in the topic to help expand on this
-software library and data analysis. To help with that, we have put together a
-[Contribution Guideline](CONTRIBUTION.md) as well as a
-[Code of Conduct](CONDUCT.md).</p>
-<p>## Used Dataset</p>
-<p>The dataset can be found [here](<a class="reference external" href="https://www.kaggle.com/datasets/divyansh22/online-gaming-anxiety-data">https://www.kaggle.com/datasets/divyansh22/online-gaming-anxiety-data</a>).</p>
-<p>## Extra</p>
+<p>This site contains the documentation of the functions written in this project.</p>
+<p>For a more detailed introduction to this project, please see the <cite>README.md</cite> in the top-level directory of this project.</p>
 <div class="toctree-wrapper compound">
-<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<p class="caption" role="heading"><span class="caption-text">Documentation contents:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="genindex.html">Index</a></li>
 <li class="toctree-l1"><a class="reference internal" href="search.html">Search Page</a></li>
@@ -85,7 +71,7 @@ software library and data analysis. To help with that, we have put together a
 
 
 <h3>Navigation</h3>
-<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<p class="caption" role="heading"><span class="caption-text">Documentation contents:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="genindex.html">Index</a></li>
 <li class="toctree-l1"><a class="reference internal" href="search.html">Search Page</a></li>
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diff --git a/docs/_build/html/py-modindex.html b/docs/_build/html/py-modindex.html
index 9f05c17..e4904d5 100644
--- a/docs/_build/html/py-modindex.html
+++ b/docs/_build/html/py-modindex.html
@@ -87,7 +87,7 @@
 
 
 <h3>Navigation</h3>
-<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<p class="caption" role="heading"><span class="caption-text">Documentation contents:</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference internal" href="genindex.html">Index</a></li>
 <li class="toctree-l1"><a class="reference internal" href="search.html">Search Page</a></li>
diff --git a/docs/_build/html/search.html b/docs/_build/html/search.html
index adbaf65..82f79f2 100644
--- a/docs/_build/html/search.html
+++ b/docs/_build/html/search.html
@@ -81,7 +81,7 @@
 
 
 <h3>Navigation</h3>
-<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<p class="caption" role="heading"><span class="caption-text">Documentation contents:</span></p>
 <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="genindex.html">Index</a></li>
 <li class="toctree-l1 current"><a class="current reference internal" href="#">Search Page</a></li>
diff --git a/docs/_build/html/searchindex.js b/docs/_build/html/searchindex.js
index bc942e0..59d586d 100644
--- a/docs/_build/html/searchindex.js
+++ b/docs/_build/html/searchindex.js
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module": [[2, "module-src.Dataset"]], "src.Plotter module": [[2, "module-src.Plotter"]], "src.test_dataset module": [[2, "module-src.test_dataset"]], "src.test_plotter module": [[2, "module-src.test_plotter"]], "Module contents": [[2, "module-src"]]}, "indexentries": {"dataset (class in src.dataset)": [[2, "src.Dataset.Dataset"]], "plotter (class in src.plotter)": [[2, "src.Plotter.Plotter"]], "customize_plot() (src.plotter.plotter method)": [[2, "src.Plotter.Plotter.customize_plot"]], "distribution_plot() (src.plotter.plotter method)": [[2, "src.Plotter.Plotter.distribution_plot"]], "filtered_rows() (src.dataset.dataset method)": [[2, "src.Dataset.Dataset.filtered_rows"]], "get_category_counts() (src.dataset.dataset method)": [[2, "src.Dataset.Dataset.get_category_counts"]], "get_column_count() (src.dataset.dataset method)": [[2, "src.Dataset.Dataset.get_column_count"]], "get_column_mean() (src.dataset.dataset method)": [[2, "src.Dataset.Dataset.get_column_mean"]], "get_columns() 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src.test_dataset)": [[2, "src.test_dataset.test_bool_or_none_params"]], "test_catch_colname_not_in_df() (in module src.test_dataset)": [[2, "src.test_dataset.test_catch_colname_not_in_df"]], "test_catch_colname_not_in_df() (in module src.test_plotter)": [[2, "src.test_plotter.test_catch_colname_not_in_df"]], "test_catch_colname_not_string() (in module src.test_dataset)": [[2, "src.test_dataset.test_catch_colname_not_string"]], "test_catch_non_bool() (in module src.test_dataset)": [[2, "src.test_dataset.test_catch_non_bool"]], "test_catch_non_dataframe() (in module src.test_dataset)": [[2, "src.test_dataset.test_catch_non_dataframe"]], "test_catch_plotter_init_not_dataset() (in module src.test_plotter)": [[2, "src.test_plotter.test_catch_plotter_init_not_Dataset"]], "test_catch_styling_params_not_dict() (in module src.test_plotter)": [[2, "src.test_plotter.test_catch_styling_params_not_dict"]], "test_catch_target_not_string() (in module src.test_plotter)": [[2, "src.test_plotter.test_catch_target_not_string"]], "test_combined_anxiety_score() (in module src.test_dataset)": [[2, "src.test_dataset.test_combined_anxiety_score"]], "test_customize_plot() (in module src.test_plotter)": [[2, "src.test_plotter.test_customize_plot"]], "test_distribution_plot() (in module src.test_plotter)": [[2, "src.test_plotter.test_distribution_plot"]], "test_filtered_rows() (in module src.test_dataset)": [[2, "src.test_dataset.test_filtered_rows"]], "test_get_column_count() (in module src.test_dataset)": [[2, "src.test_dataset.test_get_column_count"]], "test_get_column_mean() (in module src.test_dataset)": [[2, "src.test_dataset.test_get_column_mean"]], "test_get_columns() (in module src.test_dataset)": [[2, "src.test_dataset.test_get_columns"]], "test_get_dataframe() (in module src.test_dataset)": [[2, "src.test_dataset.test_get_dataframe"]], "test_get_is_narcissist_col() (in module src.test_dataset)": [[2, "src.test_dataset.test_get_is_narcissist_col"]], "test_get_row_count() (in module src.test_dataset)": [[2, "src.test_dataset.test_get_row_count"]], "test_get_sorted_columns() (in module src.test_dataset)": [[2, "src.test_dataset.test_get_sorted_columns"]], "test_get_unique_column_values() (in module src.test_dataset)": [[2, "src.test_dataset.test_get_unique_column_values"]], "test_incorrectly_load_dataset_class() (in module src.test_dataset)": [[2, "src.test_dataset.test_incorrectly_load_Dataset_class"]], "test_load_dataset_class() (in module src.test_dataset)": [[2, "src.test_dataset.test_load_Dataset_class"]], "test_load_plotter() (in module src.test_plotter)": [[2, "src.test_plotter.test_load_plotter"]], "test_plot_categorical_bar_chart() (in module src.test_plotter)": [[2, "src.test_plotter.test_plot_categorical_bar_chart"]], "test_plot_categorical_boxplot() (in module src.test_plotter)": [[2, "src.test_plotter.test_plot_categorical_boxplot"]], "test_plot_categorical_histplot() (in module src.test_plotter)": [[2, "src.test_plotter.test_plot_categorical_histplot"]], "test_plot_scatterplot() (in module src.test_plotter)": [[2, "src.test_plotter.test_plot_scatterplot"]], "test_preprocessed_dataframe() (in module src.test_dataset)": [[2, "src.test_dataset.test_preprocessed_dataframe"]], "the_dataset() (in module src.test_dataset)": [[2, "src.test_dataset.the_dataset"]], "the_plotter() (in module src.test_plotter)": [[2, "src.test_plotter.the_plotter"]], "treat_outliers() (src.dataset.dataset method)": [[2, "src.Dataset.Dataset.treat_outliers"]]}})
\ No newline at end of file
diff --git a/docs/_build/html/source/modules.html b/docs/_build/html/source/modules.html
index 56bfa82..7ad83df 100644
--- a/docs/_build/html/source/modules.html
+++ b/docs/_build/html/source/modules.html
@@ -38,11 +38,16 @@
 <li class="toctree-l2"><a class="reference internal" href="src.html#submodules">Submodules</a></li>
 <li class="toctree-l2"><a class="reference internal" href="src.html#module-src.Dataset">src.Dataset module</a><ul>
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.Dataset.Dataset"><code class="docutils literal notranslate"><span class="pre">Dataset</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.filtered_rows"><code class="docutils literal notranslate"><span class="pre">Dataset.filtered_rows()</span></code></a></li>
 <li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_category_counts"><code class="docutils literal notranslate"><span class="pre">Dataset.get_category_counts()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_column_count"><code class="docutils literal notranslate"><span class="pre">Dataset.get_column_count()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_column_mean"><code class="docutils literal notranslate"><span class="pre">Dataset.get_column_mean()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_columns"><code class="docutils literal notranslate"><span class="pre">Dataset.get_columns()</span></code></a></li>
 <li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_combined_anxiety_score"><code class="docutils literal notranslate"><span class="pre">Dataset.get_combined_anxiety_score()</span></code></a></li>
 <li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_dataframe"><code class="docutils literal notranslate"><span class="pre">Dataset.get_dataframe()</span></code></a></li>
 <li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_is_competitive_col"><code class="docutils literal notranslate"><span class="pre">Dataset.get_is_competitive_col()</span></code></a></li>
 <li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_is_narcissist_col"><code class="docutils literal notranslate"><span class="pre">Dataset.get_is_narcissist_col()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_row_count"><code class="docutils literal notranslate"><span class="pre">Dataset.get_row_count()</span></code></a></li>
 <li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_sorted_column"><code class="docutils literal notranslate"><span class="pre">Dataset.get_sorted_column()</span></code></a></li>
 <li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.get_unique_column_values"><code class="docutils literal notranslate"><span class="pre">Dataset.get_unique_column_values()</span></code></a></li>
 <li class="toctree-l4"><a class="reference internal" href="src.html#src.Dataset.Dataset.preprocess_dataset"><code class="docutils literal notranslate"><span class="pre">Dataset.preprocess_dataset()</span></code></a></li>
@@ -72,8 +77,13 @@
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_catch_non_bool"><code class="docutils literal notranslate"><span class="pre">test_catch_non_bool()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_catch_non_dataframe"><code class="docutils literal notranslate"><span class="pre">test_catch_non_dataframe()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_combined_anxiety_score"><code class="docutils literal notranslate"><span class="pre">test_combined_anxiety_score()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_filtered_rows"><code class="docutils literal notranslate"><span class="pre">test_filtered_rows()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_get_column_count"><code class="docutils literal notranslate"><span class="pre">test_get_column_count()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_get_column_mean"><code class="docutils literal notranslate"><span class="pre">test_get_column_mean()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_get_columns"><code class="docutils literal notranslate"><span class="pre">test_get_columns()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_get_dataframe"><code class="docutils literal notranslate"><span class="pre">test_get_dataframe()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_get_is_narcissist_col"><code class="docutils literal notranslate"><span class="pre">test_get_is_narcissist_col()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_get_row_count"><code class="docutils literal notranslate"><span class="pre">test_get_row_count()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_get_sorted_columns"><code class="docutils literal notranslate"><span class="pre">test_get_sorted_columns()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_get_unique_column_values"><code class="docutils literal notranslate"><span class="pre">test_get_unique_column_values()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="src.html#src.test_dataset.test_incorrectly_load_Dataset_class"><code class="docutils literal notranslate"><span class="pre">test_incorrectly_load_Dataset_class()</span></code></a></li>
@@ -121,7 +131,7 @@
 
 
 <h3>Navigation</h3>
-<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<p class="caption" role="heading"><span class="caption-text">Documentation contents:</span></p>
 <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="../genindex.html">Index</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../search.html">Search Page</a></li>
diff --git a/docs/_build/html/source/src.html b/docs/_build/html/source/src.html
index 3be4801..7ea3ef1 100644
--- a/docs/_build/html/source/src.html
+++ b/docs/_build/html/source/src.html
@@ -41,6 +41,26 @@
 <dt class="sig sig-object py" id="src.Dataset.Dataset">
 <em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">src.Dataset.</span></span><span class="sig-name descname"><span class="pre">Dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_filename</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#src.Dataset.Dataset" title="Permalink to this definition">¶</a></dt>
 <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<dl class="py method">
+<dt class="sig sig-object py" id="src.Dataset.Dataset.filtered_rows">
+<span class="sig-name descname"><span class="pre">filtered_rows</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">colname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">criteria</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">DataFrame</span></span></span><a class="headerlink" href="#src.Dataset.Dataset.filtered_rows" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a filtered dataframe where <cite>colname</cite> == <cite>criteria</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>colname</strong> (<em>str</em>) – Column including the value you want to filter by.</p></li>
+<li><p><strong>criteria</strong> (<em>str</em>) – criteria that matches all the rows you want to keep</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>the filtered dataframe.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>pd.DataFrame</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="src.Dataset.Dataset.get_category_counts">
 <span class="sig-name descname"><span class="pre">get_category_counts</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">colname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Series</span></span></span><a class="headerlink" href="#src.Dataset.Dataset.get_category_counts" title="Permalink to this definition">¶</a></dt>
@@ -62,6 +82,54 @@ If set to None, the results are not sorted. Defaults to None.</p></li>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="src.Dataset.Dataset.get_column_count">
+<span class="sig-name descname"><span class="pre">get_column_count</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#src.Dataset.Dataset.get_column_count" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the amount of columns in the dataframe.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>number of columns.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="src.Dataset.Dataset.get_column_mean">
+<span class="sig-name descname"><span class="pre">get_column_mean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">colname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#src.Dataset.Dataset.get_column_mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the mean value of all entries in one column.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>colname</strong> (<em>str</em>) – Index of the columns in the dataframe.</p></li>
+<li><p><strong>get_columns</strong> (<em>(</em><em>Indexes can be obtained by calling</em>) – </p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p>mean of <cite>colname</cite>.</p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="src.Dataset.Dataset.get_columns">
+<span class="sig-name descname"><span class="pre">get_columns</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Index</span></span></span><a class="headerlink" href="#src.Dataset.Dataset.get_columns" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns all column headers/indexes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>List of all column headers.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>pd.core.indexes.base.Index</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="src.Dataset.Dataset.get_combined_anxiety_score">
 <span class="sig-name descname"><span class="pre">get_combined_anxiety_score</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataframe</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">DataFrame</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Series</span></span></span><a class="headerlink" href="#src.Dataset.Dataset.get_combined_anxiety_score" title="Permalink to this definition">¶</a></dt>
@@ -141,6 +209,20 @@ while all values above that are above are considered Narcissist.</p>
 </dl>
 </dd></dl>
 
+<dl class="py method">
+<dt class="sig sig-object py" id="src.Dataset.Dataset.get_row_count">
+<span class="sig-name descname"><span class="pre">get_row_count</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="headerlink" href="#src.Dataset.Dataset.get_row_count" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns the amount of rows in the dataframe.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>number of rows.</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py method">
 <dt class="sig sig-object py" id="src.Dataset.Dataset.get_sorted_column">
 <span class="sig-name descname"><span class="pre">get_sorted_column</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">colname</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ascending</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Series</span></span></span><a class="headerlink" href="#src.Dataset.Dataset.get_sorted_column" title="Permalink to this definition">¶</a></dt>
@@ -422,6 +504,30 @@ catch incorrect input data types.</p>
 <dd><p>Tests Dataset.get_combined_anxiety_score().</p>
 </dd></dl>
 
+<dl class="py function">
+<dt class="sig sig-object py" id="src.test_dataset.test_filtered_rows">
+<span class="sig-prename descclassname"><span class="pre">src.test_dataset.</span></span><span class="sig-name descname"><span class="pre">test_filtered_rows</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">the_dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#src.Dataset.Dataset" title="src.Dataset.Dataset"><span class="pre">Dataset</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#src.test_dataset.test_filtered_rows" title="Permalink to this definition">¶</a></dt>
+<dd><p>Tests that filtered_rows works correctly.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="src.test_dataset.test_get_column_count">
+<span class="sig-prename descclassname"><span class="pre">src.test_dataset.</span></span><span class="sig-name descname"><span class="pre">test_get_column_count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">the_dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#src.Dataset.Dataset" title="src.Dataset.Dataset"><span class="pre">Dataset</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#src.test_dataset.test_get_column_count" title="Permalink to this definition">¶</a></dt>
+<dd><p>Tests that get_column_count works correctly.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="src.test_dataset.test_get_column_mean">
+<span class="sig-prename descclassname"><span class="pre">src.test_dataset.</span></span><span class="sig-name descname"><span class="pre">test_get_column_mean</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">the_dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#src.Dataset.Dataset" title="src.Dataset.Dataset"><span class="pre">Dataset</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#src.test_dataset.test_get_column_mean" title="Permalink to this definition">¶</a></dt>
+<dd><p>Tests that get_column_mean works correctly.</p>
+</dd></dl>
+
+<dl class="py function">
+<dt class="sig sig-object py" id="src.test_dataset.test_get_columns">
+<span class="sig-prename descclassname"><span class="pre">src.test_dataset.</span></span><span class="sig-name descname"><span class="pre">test_get_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">the_dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#src.Dataset.Dataset" title="src.Dataset.Dataset"><span class="pre">Dataset</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#src.test_dataset.test_get_columns" title="Permalink to this definition">¶</a></dt>
+<dd><p>Tests that get_columns works correctly.</p>
+</dd></dl>
+
 <dl class="py function">
 <dt class="sig sig-object py" id="src.test_dataset.test_get_dataframe">
 <span class="sig-prename descclassname"><span class="pre">src.test_dataset.</span></span><span class="sig-name descname"><span class="pre">test_get_dataframe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">the_dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#src.Dataset.Dataset" title="src.Dataset.Dataset"><span class="pre">Dataset</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#src.test_dataset.test_get_dataframe" title="Permalink to this definition">¶</a></dt>
@@ -434,6 +540,12 @@ catch incorrect input data types.</p>
 <dd><p>Tests Dataset.get_is_narcissist_col().</p>
 </dd></dl>
 
+<dl class="py function">
+<dt class="sig sig-object py" id="src.test_dataset.test_get_row_count">
+<span class="sig-prename descclassname"><span class="pre">src.test_dataset.</span></span><span class="sig-name descname"><span class="pre">test_get_row_count</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">the_dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#src.Dataset.Dataset" title="src.Dataset.Dataset"><span class="pre">Dataset</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#src.test_dataset.test_get_row_count" title="Permalink to this definition">¶</a></dt>
+<dd><p>Tests that get_row_count works correctly.</p>
+</dd></dl>
+
 <dl class="py function">
 <dt class="sig sig-object py" id="src.test_dataset.test_get_sorted_columns">
 <span class="sig-prename descclassname"><span class="pre">src.test_dataset.</span></span><span class="sig-name descname"><span class="pre">test_get_sorted_columns</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">the_dataset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#src.Dataset.Dataset" title="src.Dataset.Dataset"><span class="pre">Dataset</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#src.test_dataset.test_get_sorted_columns" title="Permalink to this definition">¶</a></dt>
@@ -587,7 +699,7 @@ catch non strings.</p>
 
 
 <h3>Navigation</h3>
-<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<p class="caption" role="heading"><span class="caption-text">Documentation contents:</span></p>
 <ul class="current">
 <li class="toctree-l1"><a class="reference internal" href="../genindex.html">Index</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../search.html">Search Page</a></li>
diff --git a/docs/_build/man/anxietyincomputer-gamersdifferencessimiliratiresandlearnings.1 b/docs/_build/man/anxietyincomputer-gamersdifferencessimiliratiresandlearnings.1
deleted file mode 100644
index 54f9618..0000000
--- a/docs/_build/man/anxietyincomputer-gamersdifferencessimiliratiresandlearnings.1
+++ /dev/null
@@ -1,579 +0,0 @@
-.\" Man page generated from reStructuredText.
-.
-.
-.nr rst2man-indent-level 0
-.
-.de1 rstReportMargin
-\\$1 \\n[an-margin]
-level \\n[rst2man-indent-level]
-level margin: \\n[rst2man-indent\\n[rst2man-indent-level]]
--
-\\n[rst2man-indent0]
-\\n[rst2man-indent1]
-\\n[rst2man-indent2]
-..
-.de1 INDENT
-.\" .rstReportMargin pre:
-. RS \\$1
-. nr rst2man-indent\\n[rst2man-indent-level] \\n[an-margin]
-. nr rst2man-indent-level +1
-.\" .rstReportMargin post:
-..
-.de UNINDENT
-. RE
-.\" indent \\n[an-margin]
-.\" old: \\n[rst2man-indent\\n[rst2man-indent-level]]
-.nr rst2man-indent-level -1
-.\" new: \\n[rst2man-indent\\n[rst2man-indent-level]]
-.in \\n[rst2man-indent\\n[rst2man-indent-level]]u
-..
-.TH "ANXIETYINCOMPUTER-GAMERSDIFFERENCESSIMILIRATIRESANDLEARNINGS" "1" "Jul 15, 2023" "" "Anxiety in Computer-Gamers: Differences, Similiratires and Learnings"
-.SH NAME
-anxietyincomputer-gamersdifferencessimiliratiresandlearnings \- Anxiety in Computer-Gamers: Differences, Similiratires and Learnings 0.1
-.sp
-## Project Description
-.sp
-## Installation
-.sp
-## Usage
-.sp
-## Features
-.sp
-## Documentation
-.sp
-## Contributing
-.sp
-## Authors
-.sp
-## License \- Open Source Commitment and FAIR Software Development
-.sp
-To embrace open source development and FAIR software development principles,
-we would like to encourage anyone interested in the topic to help expand on this
-software library and data analysis. To help with that, we have put together a
-[Contribution Guideline](CONTRIBUTION.md) as well as a
-[Code of Conduct](CONDUCT.md).
-.sp
-## Used Dataset
-.sp
-The dataset can be found [here](\fI\%https://www.kaggle.com/datasets/divyansh22/online\-gaming\-anxiety\-data\fP).
-.sp
-## Extra
-.SH SRC
-.SS src package
-.SS Submodules
-.SS src.Dataset module
-.INDENT 0.0
-.TP
-.B class  src.Dataset.Dataset(dataset_filename:  str)
-Bases: \fBobject\fP
-.INDENT 7.0
-.TP
-.B get_category_counts(colname:  str, ascending:  bool  |  None  =  None) -> Series
-Returns a count of categorical values in the dataset.
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBcolname\fP (\fIstr\fP) – the column name.
-.IP \(bu 2
-\fBascending\fP (\fIbool\fP\fI, \fP\fIoptional\fP) – Direction to sort results.
-If set to None, the results are not sorted. Defaults to None.
-.UNINDENT
-.TP
-.B Returns
-the counted categories.
-.TP
-.B Return type
-pd.Series
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B get_combined_anxiety_score(dataframe:  DataFrame) -> Series
-Get the combined anxiety score, as a column.
-This score is based on the GAN, SPIN and SWL metrics.
-Each of the three columns are first normalised,
-then the mean is returned.
-.INDENT 7.0
-.TP
-.B Parameters
-\fBdataframe\fP (\fIpd.DataFrame\fP) – the dataframe.
-.TP
-.B Raises
-\fBValueError\fP – if \fIdataframe\fP is not a pd.DataFrame.
-.TP
-.B Returns
-the anxiety score column.
-.TP
-.B Return type
-pd.Series
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B get_dataframe() -> DataFrame
-A getter function for the dataframe.
-.INDENT 7.0
-.TP
-.B Returns
-the dataset.
-.TP
-.B Return type
-pd.DataFrame
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B get_is_competitive_col(dataframe:  DataFrame) -> array
-Returns a column defining whether a person is competitive or not.
-.INDENT 7.0
-.TP
-.B Parameters
-\fBdataframe\fP (\fIpd.DataFrame\fP) – the dataframe.
-.TP
-.B Raises
-\fBValueError\fP – if \fIdataframe\fP is not a pd.DataFrame.
-.TP
-.B Returns
-the resulting column.
-.TP
-.B Return type
-np.array
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B get_is_narcissist_col(dataframe:  DataFrame) -> Series
-Get a boolean narcissist column.
-The Narcissism score of 1.0 is considered Not a Narcissist,
-while all values above that are above are considered Narcissist.
-.INDENT 7.0
-.TP
-.B Parameters
-\fBdataframe\fP (\fIpd.DataFrame\fP) – the dataframe
-.TP
-.B Raises
-\fBValueError\fP – if \fIdataframe\fP is not a pd.DataFrame.
-.TP
-.B Returns
-the boolean narcissist column.
-.TP
-.B Return type
-pd.Series
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B get_sorted_column(colname:  str, ascending:  bool  =  True) -> Series
-Returns a single column, sorted either ascending or descending.
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBcolname\fP (\fIstr\fP) – the column name (see get_dataset_columns()).
-.IP \(bu 2
-\fBascending\fP (\fIbool\fP\fI, \fP\fIoptional\fP) – Sorting order. Defaults to True.
-.UNINDENT
-.TP
-.B Returns
-The sorted column.
-.TP
-.B Return type
-pd.Series
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B get_unique_column_values(colname:  str)
-Returns a count of categorical values in the dataset.
-.INDENT 7.0
-.TP
-.B Parameters
-\fBcolname\fP (\fIstr\fP) – the column name.
-.TP
-.B Returns
-an array of strings containing the unique values
-present in the column
-.TP
-.B Return type
-string array
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B preprocess_dataset(raw_dataframe:  DataFrame) -> DataFrame
-preprocess dataframe immediately after loading it.
-.INDENT 7.0
-.TP
-.B Parameters
-\fBraw_dataframe\fP (\fIpd.DataFrame\fP) – raw dataframe as read from pd.read_csv().
-This dataframe is discarded afterwards.
-.TP
-.B Raises
-\fBValueError\fP – if \fIraw_dataframe\fP is not a pd.DataFrame.
-.TP
-.B Returns
-resulting preprocessed dataframe.
-.TP
-.B Return type
-pd.DataFrame
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B preprocess_whyplay(dataframe:  DataFrame) -> Series
-Preprocesses the whyplay column, and returns a Is_competitive col.
-.INDENT 7.0
-.TP
-.B Parameters
-\fBdataframe\fP (\fIpd.DataFrame\fP) – the dataframe.
-.TP
-.B Raises
-\fBValueError\fP – if \fIdataframe\fP is not a pd.DataFrame.
-.TP
-.B Returns
-the Is_competitive column.
-.TP
-.B Return type
-pd.Series
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B remove_nonaccepting_rows(dataframe:  DataFrame) -> DataFrame
-Removes rows where participants did not consent to data processing.
-.INDENT 7.0
-.TP
-.B Parameters
-\fBdataframe\fP (\fIpd.DataFrame\fP) – the dataframe.
-.TP
-.B Raises
-\fBValueError\fP – if \fIdataframe\fP is not a pd.DataFrame.
-.TP
-.B Returns
-the dataframe.
-.TP
-.B Return type
-pd.DataFrame
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B treat_outliers(df:  DataFrame, colname:  str) -> DataFrame
-Treat outliers of numerical columns.
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBdf\fP (\fIpd.DataFrame\fP) – the dataframe.
-.IP \(bu 2
-\fBcolname\fP (\fIstr\fP) – the column name to treat.
-.UNINDENT
-.TP
-.B Returns
-the filtered dataframe.
-.TP
-.B Return type
-pd.DataFrame
-.UNINDENT
-.UNINDENT
-.UNINDENT
-.SS src.Plotter module
-.INDENT 0.0
-.TP
-.B class  src.Plotter.Plotter(dataset:  \fI\%Dataset\fP)
-Bases: \fBobject\fP
-.INDENT 7.0
-.TP
-.B customize_plot(fig, ax, styling_params) -> None
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBfig\fP (\fIplt.figure.Figure\fP) – 
-.IP \(bu 2
-\fBax\fP (\fIplt.axes.Axes\fP) – 
-.IP \(bu 2
-\fBstyling_params\fP (\fIdict\fP) – 
-.UNINDENT
-.TP
-.B Returns
-None
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B distribution_plot(target, styling_params={}) -> None
-plot a distribution plot.
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBtarget\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBstyling_params\fP (\fIdict\fP) – 
-.UNINDENT
-.TP
-.B Returns
-None
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B plot_categorical_bar_chart(category1, category2, styling_params={}) -> None
-plot a categorical bar chart.
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBcategory1\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBcategory2\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBstyling_params\fP (\fIdict\fP) – 
-.UNINDENT
-.TP
-.B Returns
-None
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B plot_categorical_boxplot(target, category, styling_params={}) -> None
-plot a categorical boxplot.
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBtarget\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBcategory\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBstyling_params\fP (\fIdict\fP) – 
-.UNINDENT
-.TP
-.B Returns
-None
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B plot_categorical_histplot(target, category, styling_params={}, bins=30) -> None
-plot a categorical hisplot.
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBtarget\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBcategory\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBstyling_params\fP (\fIdict\fP) – 
-.UNINDENT
-.TP
-.B Returns
-None
-.UNINDENT
-.UNINDENT
-.INDENT 7.0
-.TP
-.B plot_scatterplot(target1, target2, styling_params={}) -> None
-plot a scatterplot.
-.INDENT 7.0
-.TP
-.B Parameters
-.INDENT 7.0
-.IP \(bu 2
-\fBtarget1\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBtarget2\fP (\fIstr\fP\fI, \fP\fImust be present as a column in the dataset\fP) – 
-.IP \(bu 2
-\fBstyling_params\fP (\fIdict\fP) – 
-.UNINDENT
-.TP
-.B Returns
-None
-.UNINDENT
-.UNINDENT
-.UNINDENT
-.SS src.test_dataset module
-.sp
-This test file tests the Dataset class in Dataset.py.
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_bool_or_none_params(the_dataset:  \fI\%Dataset\fP, param)
-Tests that functions that take bool or None correctly
-work as intended.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_catch_colname_not_in_df(the_dataset:  \fI\%Dataset\fP)
-Tests that functions that take colname correctly
-catch colnames not in dataset.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_catch_colname_not_string(the_dataset:  \fI\%Dataset\fP)
-Tests that functions that take colname correctly
-catch colnames not in dataset.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_catch_non_bool(the_dataset:  \fI\%Dataset\fP, param)
-Tests that functions that take bool or None correctly
-catch incorrect input data types.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_catch_non_dataframe(the_dataset:  \fI\%Dataset\fP, param)
-Tests that functions that take pd.DataFrame correctly
-catch incorrect input data types.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_combined_anxiety_score(the_dataset:  \fI\%Dataset\fP)
-Tests Dataset.get_combined_anxiety_score().
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_get_dataframe(the_dataset:  \fI\%Dataset\fP)
-Tests Dataset.get_dataframe().
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_get_is_narcissist_col(the_dataset:  \fI\%Dataset\fP)
-Tests Dataset.get_is_narcissist_col().
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_get_sorted_columns(the_dataset:  \fI\%Dataset\fP)
-Tests Dataset.get_sorted_column().
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_get_unique_column_values(the_dataset:  \fI\%Dataset\fP)
-Tests Dataset.get_combined_anxiety_score().
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_incorrectly_load_Dataset_class()
-Tests the Dataset init function.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_load_Dataset_class()
-Tests if the dataset is successfully loaded.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.test_preprocessed_dataframe(the_dataset:  \fI\%Dataset\fP)
-Tests that the dataframe is preprocessed correctly.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_dataset.the_dataset() -> \fI\%Dataset\fP
-Returns the initialised Dataset instance as a fixture.
-.INDENT 7.0
-.TP
-.B Returns
-the initialised Dataset.
-.TP
-.B Return type
-\fI\%Dataset\fP
-.UNINDENT
-.UNINDENT
-.SS src.test_plotter module
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_catch_colname_not_in_df(the_plotter:  \fI\%Plotter\fP)
-Tests that functions that take colname correctly
-catch colnames not in dataset.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_catch_plotter_init_not_Dataset()
-Tests that the Plotter’s init actually takes a src.Dataset.Dataset.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_catch_styling_params_not_dict(the_plotter:  \fI\%Plotter\fP, param)
-Tests that functions that take styling_params correctly
-catch non dictionaries.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_catch_target_not_string(the_plotter:  \fI\%Plotter\fP)
-Tests that functions that take target correctly
-catch non strings.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_customize_plot(the_plotter:  \fI\%Plotter\fP)
-Tests the customize_plot() function.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_distribution_plot(the_plotter:  \fI\%Plotter\fP)
-Tests the distribution_plot() function.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_load_plotter()
-Tests that the Plotter class can be loaded.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_plot_categorical_bar_chart(the_plotter:  \fI\%Plotter\fP)
-Tests the plot_categorical_bar_chart() function.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_plot_categorical_boxplot(the_plotter:  \fI\%Plotter\fP)
-Tests the plot_categorical_boxplot() function.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_plot_categorical_histplot(the_plotter:  \fI\%Plotter\fP)
-Tests the plot_categorical_histplot() function.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.test_plot_scatterplot(the_plotter:  \fI\%Plotter\fP)
-Tests the plot_scatterplot() function.
-.UNINDENT
-.INDENT 0.0
-.TP
-.B src.test_plotter.the_plotter() -> \fI\%Plotter\fP
-Returns the initialised Plotter instance as a fixture.
-.INDENT 7.0
-.TP
-.B Returns
-the plotter.
-.TP
-.B Return type
-\fI\%Plotter\fP
-.UNINDENT
-.UNINDENT
-.SS Module contents
-.INDENT 0.0
-.IP \(bu 2
-\fI\%Index\fP
-.IP \(bu 2
-\fI\%Search Page\fP
-.IP \(bu 2
-\fI\%Module Index\fP
-.UNINDENT
-.SH AUTHOR
-Niklas Franz, Wishyut Pitawanik, Alexander Shervud
-.SH COPYRIGHT
-2023, Niklas Franz, Wishyut Pitawanik, Alexander Shervud
-.\" Generated by docutils manpage writer.
-.
diff --git a/docs/index.rst b/docs/index.rst
index 44fa697..f6a64bb 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -6,11 +6,13 @@
 Welcome to this project's documentation!
 ========================================
 
-.. include:: ../README.md
+This site contains the documentation of the functions written in this project.
+
+For a more detailed introduction to this project, please see the `README.md` in the top-level directory of this project.
 
 .. toctree::
    :maxdepth: 2
-   :caption: Contents:
+   :caption: Documentation contents:
 
    genindex
    search
diff --git a/src/Dataset.py b/src/Dataset.py
index ec8db06..5fe6a3b 100644
--- a/src/Dataset.py
+++ b/src/Dataset.py
@@ -341,34 +341,34 @@ class Dataset:
             else grouped_size.sort_values(ascending=ascending)
         )
 
-    def get_column_count(self) -> int: 
-        """ 
-        get_column_count returns the amount of columns in the dataframe.
+    def get_column_count(self) -> int:
+        """
+        Returns the amount of columns in the dataframe.
 
         Returns:
-            int: column_count
+            int: number of columns.
         """
         return len(self.dataframe.columns)
-    
+
     def get_row_count(self) -> int:
         """
-        get_rowcount returns the amount of rows in the dataframe.
+        Returns the amount of rows in the dataframe.
 
         Returns:
-            int: row_count
+            int: number of rows.
         """
         return len(self.dataframe)
-    
-    def get_column_mean(self, colname:str) -> int: 
+
+    def get_column_mean(self, colname: str) -> int:
         """
-        get_column_mean returns the mean value of all entries in one column.
+        Returns the mean value of all entries in one column.
 
         Args:
             colname (str): Index of the columns in the dataframe.
-            (Indexes can be get by calling get_columns()).
+            (Indexes can be obtained by calling get_columns()).
 
         Returns:
-            int: column_mean
+            int: mean of `colname`.
         """
         if type(colname) != str:
             logging.error("parameter `colname` is not a string")
@@ -376,19 +376,19 @@ class Dataset:
         if colname not in self.dataframe.columns:
             logging.error("column requested not in dataframe")
             raise KeyError(f"{colname} is not a column in dataframe")
-        
+
         return self.dataframe[colname].mean()
-    
+
     def filtered_rows(self, colname: str, criteria: str) -> pd.DataFrame:
         """
-        filtered_rows returns a filtered dataframe
+        Return a filtered dataframe where `colname` == `criteria`.
 
         Args:
             colname (str): Column including the value you want to filter by.
             criteria (str): criteria that matches all the rows you want to keep
 
         Returns:
-            pd.DataFrame: _description_
+            pd.DataFrame: the filtered dataframe.
         """
         if type(colname) != str:
             logging.error("parameter `colname` is not a string")
@@ -396,14 +396,14 @@ class Dataset:
         if colname not in self.dataframe.columns:
             logging.error("column requested not in dataframe")
             raise KeyError(f"{colname} is not a column in dataframe")
-    
+
         return self.dataframe[self.dataframe[colname] == criteria]
-    
-    def get_columns(self) -> pd.Series: 
+
+    def get_columns(self) -> pd.core.indexes.base.Index:
         """
-        get_columns returns all column headers/indexes
-        
+        Returns all column headers/indexes.
+
         Returns:
-            pd.Series: List of all column headers
+            pd.core.indexes.base.Index: List of all column headers.
         """
-        return self.dataframe.columns
\ No newline at end of file
+        return self.dataframe.columns
-- 
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