student_scores

## Student Scores Dataset

This dataset contains clean and original versions of Student Scores Dataset and the transformer used to transform it from original to clean, can be used for inferences.

Here's the plot of the transformer:

<style>#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 {color: black;background-color: white;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 pre{padding: 0;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-toggleable {background-color: white;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 label.sk-toggleable__label-arrow:before {content: "▸";float: left;margin-right: 0.25em;color: #696969;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾";}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-estimator:hover {background-color: #d4ebff;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-parallel-item::after {content: "";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-serial::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-item {z-index: 1;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-parallel::before {content: "";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 2em;bottom: 0;left: 50%;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-parallel-item {display: flex;flex-direction: column;position: relative;background-color: white;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-parallel-item:only-child::after {width: 0;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;position: relative;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-label label {font-family: monospace;font-weight: bold;background-color: white;display: inline-block;line-height: 1.2em;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-label-container {position: relative;z-index: 2;text-align: center;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949 div.sk-text-repr-fallback {display: none;}</style><div id="sk-46a90950-7a65-4bd5-81b7-b0c3bf7aa949" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>ColumnTransformer(remainder=&#x27;passthrough&#x27;,transformers=[(&#x27;categorical_missing_value_imputer&#x27;,SimpleImputer(fill_value=&#x27;missing&#x27;,strategy=&#x27;constant&#x27;),[0, 1, 2, 3, 4]),(&#x27;numerical_missing_value_imputer&#x27;,SimpleImputer(strategy=&#x27;median&#x27;), [5, 6, 7]),(&#x27;school_encoder&#x27;, OrdinalEncoder(), [2]),(&#x27;status_encoder&#x27;, OrdinalEncoder(), [4]),(&#x27;gender_encoder&#x27;, OneHotEncoder(), [0])])</pre><b>Please rerun this cell to show the HTML repr or trust the notebook.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="c04042d6-1013-4e6e-97d5-80229d8d887c" type="checkbox" ><label for="c04042d6-1013-4e6e-97d5-80229d8d887c" class="sk-toggleable__label sk-toggleable__label-arrow">ColumnTransformer</label><div class="sk-toggleable__content"><pre>ColumnTransformer(remainder=&#x27;passthrough&#x27;,transformers=[(&#x27;categorical_missing_value_imputer&#x27;,SimpleImputer(fill_value=&#x27;missing&#x27;,strategy=&#x27;constant&#x27;),[0, 1, 2, 3, 4]),(&#x27;numerical_missing_value_imputer&#x27;,SimpleImputer(strategy=&#x27;median&#x27;), [5, 6, 7]),(&#x27;school_encoder&#x27;, OrdinalEncoder(), [2]),(&#x27;status_encoder&#x27;, OrdinalEncoder(), [4]),(&#x27;gender_encoder&#x27;, OneHotEncoder(), [0])])</pre></div></div></div><div class="sk-parallel"><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="09be6c7a-7620-4240-ae3e-fea9b9c4ba96" type="checkbox" ><label for="09be6c7a-7620-4240-ae3e-fea9b9c4ba96" class="sk-toggleable__label sk-toggleable__label-arrow">categorical_missing_value_imputer</label><div class="sk-toggleable__content"><pre>[0, 1, 2, 3, 4]</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="26c15d8d-4a1f-4c4d-b0de-5385845dad87" type="checkbox" ><label for="26c15d8d-4a1f-4c4d-b0de-5385845dad87" class="sk-toggleable__label sk-toggleable__label-arrow">SimpleImputer</label><div class="sk-toggleable__content"><pre>SimpleImputer(fill_value=&#x27;missing&#x27;, strategy=&#x27;constant&#x27;)</pre></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="240be745-c3b3-4b4a-825b-2d1fdb4098c4" type="checkbox" ><label for="240be745-c3b3-4b4a-825b-2d1fdb4098c4" class="sk-toggleable__label sk-toggleable__label-arrow">numerical_missing_value_imputer</label><div class="sk-toggleable__content"><pre>[5, 6, 7]</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="27c7042f-3ced-4afc-ac3a-08b18ef36baa" type="checkbox" ><label for="27c7042f-3ced-4afc-ac3a-08b18ef36baa" class="sk-toggleable__label sk-toggleable__label-arrow">SimpleImputer</label><div class="sk-toggleable__content"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="78993eb3-7988-4fb6-b8e2-c05be3457d30" type="checkbox" ><label for="78993eb3-7988-4fb6-b8e2-c05be3457d30" class="sk-toggleable__label sk-toggleable__label-arrow">school_encoder</label><div class="sk-toggleable__content"><pre>[2]</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="bc1fd86e-4a3b-4448-85d5-15961983cfa2" type="checkbox" ><label for="bc1fd86e-4a3b-4448-85d5-15961983cfa2" class="sk-toggleable__label sk-toggleable__label-arrow">OrdinalEncoder</label><div class="sk-toggleable__content"><pre>OrdinalEncoder()</pre></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="56bbc2fd-309f-40fc-b160-45fc33cea93b" type="checkbox" ><label for="56bbc2fd-309f-40fc-b160-45fc33cea93b" class="sk-toggleable__label sk-toggleable__label-arrow">status_encoder</label><div class="sk-toggleable__content"><pre>[4]</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="b80005c6-2fe9-4168-971f-8951bfa7f8f3" type="checkbox" ><label for="b80005c6-2fe9-4168-971f-8951bfa7f8f3" class="sk-toggleable__label sk-toggleable__label-arrow">OrdinalEncoder</label><div class="sk-toggleable__content"><pre>OrdinalEncoder()</pre></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="677cf14a-996a-48af-ba0e-e3d2e83021b8" type="checkbox" ><label for="677cf14a-996a-48af-ba0e-e3d2e83021b8" class="sk-toggleable__label sk-toggleable__label-arrow">gender_encoder</label><div class="sk-toggleable__content"><pre>[0]</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="0cad3051-c4b7-41a8-a372-c439ae4ad98b" type="checkbox" ><label for="0cad3051-c4b7-41a8-a372-c439ae4ad98b" class="sk-toggleable__label sk-toggleable__label-arrow">OneHotEncoder</label><div class="sk-toggleable__content"><pre>OneHotEncoder()</pre></div></div></div></div></div></div><div class="sk-parallel-item"><div class="sk-item"><div class="sk-label-container"><div class="sk-label sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="e5707a95-9465-439b-ae0b-34e122add191" type="checkbox" ><label for="e5707a95-9465-439b-ae0b-34e122add191" class="sk-toggleable__label sk-toggleable__label-arrow">remainder</label><div class="sk-toggleable__content"><pre>[]</pre></div></div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="534f7a9b-d224-476c-993a-124b3435a8e3" type="checkbox" ><label for="534f7a9b-d224-476c-993a-124b3435a8e3" class="sk-toggleable__label sk-toggleable__label-arrow">passthrough</label><div class="sk-toggleable__content"><pre>passthrough</pre></div></div></div></div></div></div></div></div></div></div>

# 学生成绩数据集（Student Scores Dataset）
本数据集涵盖学生成绩数据集的原始版本与清洗后版本，同时提供了用于将原始数据转换为清洗后数据的列转换器（ColumnTransformer），可直接用于推理任务。

以下为该列转换器的结构可视化代码与说明：
python
ColumnTransformer(remainder='passthrough',
transformers=[
('categorical_missing_value_imputer', SimpleImputer(fill_value='missing', strategy='constant'), [0, 1, 2, 3, 4]),
('numerical_missing_value_imputer', SimpleImputer(strategy='median'), [5, 6, 7]),
('school_encoder', OrdinalEncoder(), [2]),
('status_encoder', OrdinalEncoder(), [4]),
('gender_encoder', OneHotEncoder(), [0])
])

注：该代码为Scikit-learn模型的结构表示，重新运行对应单元格即可渲染HTML格式的可视化视图。