2026数据科学与大数据技术一套基于Spark的电商平台男鞋销售数据分析及可视化4.37-AI16.74(论文+程序代码源码+数据库原始数据集表+运行指导)定稿.zip

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2026-09-18
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bdu26bd214jiaosiyao_nanXieDaPing
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  - config(335 B)
  - description(73 B)
  - HEAD(23 B)
  - index(2.65 KB)
- .idea
  - inspectionProfiles
    - profiles_settings.xml(174 B)
    - Project_Default.xml(441 B)
  - .gitignore(50 B)
  - misc.xml(292 B)
  - modules.xml(283 B)
  - nanXieDaPing.iml(291 B)
  - vcs.xml(185 B)
  - workspace.xml(17.95 KB)
- bdu26bd214jiaosiyao_data
  - bdu26bd214jiaosiyao_clean
    - clean_data.csv(1.78 MB)
  - bdu26bd214jiaosiyao_raw
    - noClean_data.csv(1.66 MB)
- bdu26bd214jiaosiyao_models
  - brand_avg_price_map.pkl(7.81 KB)
  - kmeans_cluster.pkl(40.84 KB)
  - original_price_model.pkl(1.47 KB)
  - original_price_preprocessor.pkl(5.57 KB)
  - pca.pkl(11.98 KB)
  - preprocessor.pkl(4.62 KB)
- bdu26bd214jiaosiyao_output
  - bdu26bd214jiaosiyao_csv
    - PCA降维对比结果.csv(150 B)
    - 原价回归预测模型对比.csv(212 B)
    - 原价预测特征重要性排序.csv(409 B)
    - 聚类后商品数据.csv(1.8 MB)
    - 聚类模型对比结果.csv(168 B)
    - 聚类簇特征均值.csv(334 B)
  - bdu26bd214jiaosiyao_images
    - K-Means肘部法则与轮廓系数图.png(206.08 KB)预览内容
    - t-SNE聚类可视化.png(2.32 MB)预览内容
    - 原价-月销量聚类散点图.png(1.42 MB)预览内容
    - 原价预测-实际值散点图.png(476.91 KB)预览内容
    - 原价预测模型对比图.png(144.99 KB)预览内容
    - 原价预测残差分析图.png(478.75 KB)预览内容
    - 原价预测特征重要性对比图.png(205.58 KB)预览内容
    - 各聚类簇月销量箱线图.png(121.28 KB)预览内容
    - 聚类簇特征雷达图.png(493.26 KB)预览内容
- bdu26bd214jiaosiyao_src
  - bdu26bd214jiaosiyao_web
    - bdu26bd214jiaosiyao_templates
      - index214jiaosiyao.html(15.56 KB)
      - predict214jiaosiyao.html(8.18 KB)
      - price_predict214jiaosiyao.html(7.86 KB)
    - app214jiaosiyao.py(11.1 KB)
  - cluster_train214jiaosiyao.py(16.51 KB)
  - data_cleaning214jiaosiyao.py(4.54 KB)
  - price_regression214jiaosiyao.py(19.69 KB)
  - spark214jiaosiyao.py(4.76 KB)
  - __init__.py(0 B)
- __pycache__
  - config.cpython-37.pyc(986 B)
- config.py(932 B)
MySql数据文件
- brand_analysis.sql(923 B)
- clean_shoe_train_data.sql(2.6 MB)
- material_analysis.sql(648 B)
- price_bin_analysis.sql(318 B)
- province_top10.sql(660 B)
- time_analysis.sql(285 B)
- user_analysis.sql(288 B)
数据科学与大数据技术基于Spark的电商平台男鞋销售数据分析及可视化4.37-AI16.74_1.docx(1.28 MB)预览内容
readme.txt(3.76 KB)预览内容
原始数据集.csv(1.66 MB)

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2026数据科学与大数据技术一套基于Spark的电商平台男鞋销售数据分析及可视化4.37-AI16.74(论文+程序代码源码+数据库原始数据集表+运行指导)定稿.zip

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2026数据科学与大数据技术一套 基于Spark的电商平台男鞋销售数据分析及可视化4.37-AI16.74(论文+程序代码源码+数据库原始数据集表+运行指导)定稿.zip

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2026数据科学与大数据技术一套基于Spark的电商平台男鞋销售数据分析及可视化4.37-AI16.74(论文+程序代码源码+数据库原始数据集表+运行指导)定稿.zip

2026数据科学与大数据技术一套基于Spark的电商平台男鞋销售数据分析及可视化4.37-AI16.74(论文+程序代码源码+数据库原始数据集表+运行指导)定稿.zip