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<li class="toctree-l1 has-children"><a class="reference internal" href="default_wrangling.html">Wrangling data with good defaults</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="modules/default_wrangling/cleaning_dataframes.html"><code class="xref py py-class docutils literal notranslate"><span class="pre">Cleaner</span></code>: sanitizing a dataframe</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/default_wrangling/table_vectorizer.html">Transforming a table into an array of numeric features: <code class="xref py py-class docutils literal notranslate"><span class="pre">TableVectorizer</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/default_wrangling/tabular_pipeline.html">Building robust ML baselines with <code class="xref py py-func docutils literal notranslate"><span class="pre">tabular_pipeline()</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/default_wrangling/apply_to_cols.html">Transforming selected columns with <code class="xref py py-class docutils literal notranslate"><span class="pre">ApplyToCols</span></code></a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="column_level_featurizing.html">Column-level feature extraction</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
<li class="toctree-l2"><a class="reference internal" href="modules/column_level_featurizing/feature_engineering_categorical.html">Encoding string and text columns as numeric features</a></li>
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<li class="toctree-l2"><a class="reference internal" href="modules/column_level_featurizing/robust_scaling.html">Robust scaling of numeric features using <code class="xref py py-class docutils literal notranslate"><span class="pre">SquashingScaler</span></code></a></li>
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<li class="toctree-l2"><a class="reference internal" href="modules/multi_column_operations/drop_uninformative.html">Removing unneeded columns with <code class="xref py py-class docutils literal notranslate"><span class="pre">DropUninformative</span></code> and <code class="xref py py-class docutils literal notranslate"><span class="pre">Cleaner</span></code></a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/multi_column_operations/selectors.html">Skrub Selectors, for selecting columns in a dataframe</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/multi_column_operations/type_of_selectors.html">Selecting based on dtype or data properties</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/multi_column_operations/advanced_selectors.html"><code class="xref py py-func docutils literal notranslate"><span class="pre">filter()</span></code> and <code class="xref py py-func docutils literal notranslate"><span class="pre">filter_names()</span></code> to select with user-defined criteria</a></li>
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<li class="toctree-l2"><a class="reference internal" href="modules/data_ops/basics/what_are_data_ops.html">Basics of DataOps: the DataOps plan, variables, and learners</a></li>
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<li class="toctree-l2"><a class="reference internal" href="modules/data_ops/basics/using_previews.html">Using previews for easier development and debugging</a></li>
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<li class="toctree-l2"><a class="reference internal" href="modules/data_ops/validation/hyperparameter_tuning.html">Using the skrub <code class="docutils literal notranslate"><span class="pre">choose_*</span></code> functions to tune hyperparameters</a></li>
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<li class="toctree-l2"><a class="reference internal" href="modules/data_ops/validation/nesting_choices_choosing_pipelines.html">Going beyond estimator hyperparameters: nesting choices and choosing pipelines</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/data_ops/validation/exporting_data_ops.html">Exporting the DataOps plan as a learner and reusing it</a></li>
<li class="toctree-l2"><a class="reference internal" href="modules/data_ops/validation/tuning_with_optuna.html">Tuning DataOps with Optuna</a></li>
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<span id="user-guide-exploring-a-dataframe-index"></span><h1>Exploring a Dataframe<a class="headerlink" href="#exploring-a-dataframe" title="Link to this heading">#</a></h1>
<p>This section covers the <a class="reference internal" href="reference/generated/skrub.TableReport.html#skrub.TableReport" title="skrub.TableReport"><code class="xref py py-class docutils literal notranslate"><span class="pre">TableReport</span></code></a> and how it can be used for exploring
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