2026数据科学与大数据技术一套基于Spark的多城市酒店数据分析与可视化9.0-AI5.48(论文+程序代码源码+数据图表+运行指导)定稿.zip

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2026-09-18
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2205034245_张煜蕊_数据科学与大数据技术_基于Spark的多城市酒店数据分析与可视化
- bdu26bd245zhangyuruiProject
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        __init__.py(165 B)
        werkzeug-3.1.3.dist-info
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        __init__.py(2.33 KB)
        vendored
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        __init__.py(0 B)
        __init__.py(0 B)
        bdist_wheel.py(18.84 KB)
        macosx_libfile.py(15.77 KB)
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        wheelfile.py(7.36 KB)
        _setuptools_logging.py(746 B)
        __init__.py(59 B)
        __main__.py(455 B)
        wheel-0.38.4.dist-info
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        _distutils_hack
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        __init__.cpython-311.pyc(10.91 KB)
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        _virtualenv.py(5.63 KB)
    - Scripts
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      - activate.bat(1 KB)
      - activate.fish(2.98 KB)
      - activate.nu(2.56 KB)
      - activate.ps1(1.72 KB)
      - activate_this.py(1.14 KB)
      - deactivate.bat(511 B)
      - deactivate.nu(682 B)
      - flask.exe(105.88 KB)
      - pip-3.11.exe(105.89 KB)
      - pip.exe(105.89 KB)
      - pip3.11.exe(105.89 KB)
      - pip3.exe(105.89 KB)
      - pydoc.bat(24 B)
      - python.exe(264.27 KB)
      - pythonw.exe(253.27 KB)
      - wheel-3.11.exe(105.88 KB)
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      - wheel3.11.exe(105.88 KB)
      - wheel3.exe(105.88 KB)
    - .gitignore(42 B)
    - pyvenv.cfg(230 B)
  - app245zhangyurui.py(132 B)
  - main.py(544 B)
- bdu26bd245zhangyuruiSpark
  - .idea
    - codeStyles
      - codeStyleConfig.xml(153 B)
      - Project.xml(269 B)
    - .gitignore(261 B)
    - compiler.xml(542 B)
    - encodings.xml(267 B)
    - jarRepositories.xml(1.08 KB)
    - misc.xml(541 B)
    - modules.xml(265 B)
    - workspace.xml(7.32 KB)
  - .mvn
    - wrapper
      - maven-wrapper.jar(57.35 KB)
      - maven-wrapper.properties(232 B)
  - spark-warehouse
  - src
    - main
      - java
      - resources
        core-site.xml(1.53 KB)
        hadoop-env.sh(16.62 KB)
        hdfs-site.xml(2.85 KB)
        workers(30 B)
        yarn-site.xml(3.09 KB)
      - scala
        HotelAnalysis245zhangyurui.scala(12.51 KB)
    - test
      - java
      - resources
  - target
    - classes
      - core-site.xml(1.53 KB)
      - hadoop-env.sh(16.62 KB)
      - hdfs-site.xml(2.85 KB)
      - HotelAnalysis245zhangyurui$$typecreator5$1.class(1.52 KB)
      - HotelAnalysis245zhangyurui$.class(10.81 KB)
      - HotelAnalysis245zhangyurui.class(807 B)
      - HotelInfo$.class(5.16 KB)
      - HotelInfo.class(18.91 KB)
      - JobInfo$.class(3.15 KB)
      - JobInfo.class(10.2 KB)
      - JobITAna$$typecreator10$1.class(1.45 KB)
      - JobITAna$.class(5.86 KB)
      - JobITAna.class(693 B)
      - OrderAnalysis$$typecreator10$1.class(1.47 KB)
      - OrderAnalysis$.class(9.05 KB)
      - OrderAnalysis.class(725 B)
      - OrderInfo$.class(2.95 KB)
      - OrderInfo.class(9.42 KB)
      - workers(30 B)
      - yarn-site.xml(3.09 KB)
    - generated-sources
      - annotations
  - .gitignore(490 B)
  - mvnw(10.04 KB)
  - mvnw.cmd(6.58 KB)
  - pom.xml(2.59 KB)
  - Spark0528.iml(289 B)
- bdu26bd245zhangyurui数据分析
  - data.csv(4.18 MB)
  - hotel.csv(2.96 MB)
  - 价格影响因素分析245zhangyurui.py(8 KB)
  - 可视化大屏245zhangyurui.py(1.66 KB)
  - 数据预处理245zhangyurui.py(4.2 KB)
  - 模型性能对比图245zhangyurui.png(997.74 KB)
  - 特征重要性对比图245zhangyurui.png(230.76 KB)
  - 相关性分析245zhangyurui.py(3.79 KB)
  - 聚类_分布散点图245zhangyurui.png(351.48 KB)
  - 聚类_特征热力图245zhangyurui.png(90.29 KB)
  - 聚类_肘部法则图245zhangyurui.png(136.25 KB)
  - 聚类_轮廓系数图245zhangyurui.png(117.45 KB)
  - 聚类算法245zhangyurui.py(6.28 KB)
  - 酒店数据分析可视化大屏245zhangyurui.png(1.96 MB)
- bdu26bd245zhangyurui数据爬取
  - .idea
    - inspectionProfiles
      - profiles_settings.xml(174 B)
    - .gitignore(184 B)
    - misc.xml(284 B)
    - modules.xml(321 B)
    - workspace.xml(7.47 KB)
    - 艺龙酒店_全国星级酒店价格爬取.iml(325 B)
  - data
    - data.csv(4.18 MB)
  - files
    - chromedriver.exe(19.38 MB)
    - cityIds.csv(5.91 KB)
    - userDun.js(114.09 KB)
  - getH5CookieId245zhangyurui.py(2.95 KB)
  - getIp245zhangyurui.py(3.37 KB)
  - main245zhangyurui.py(9.13 KB)
  - run245zhangyurui.py(1.88 KB)
  - settings245zhangyurui.py(12.03 KB)
- readme.txt(442 B)
数据科学与大数据技术基于Spark的多城市酒店数据分析与可视化9.0-AI5.48_1.docx(3.03 MB)

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2026数据科学与大数据技术一套基于Spark的多城市酒店数据分析与可视化9.0-AI5.48(论文+程序代码源码+数据图表+运行指导)定稿.zip