机器学习（预测模型）：全球互联网采用及数字增长分析数据集资源-CSDN下载

共15个文件

csv：4个

html：4个

json：3个

25 浏览量 2025-06-02 23:26:50 上传评论收藏 10.01MB ZIP 举报

它涵盖了全球互联网采用及数字增长的相关信息。数据集主要关注不同国家和地区在互联网接入、使用习惯、数字技术发展等方面的动态变化。数据集中包含了多个关键指标。首先是互联网接入率，它反映了各个国家和地区能够接入互联网的人口比例。这一指标能够直观地展示互联网在全球范围内的普及程度，帮助分析不同地区在数字基础设施建设方面的差距。例如，发达国家的互联网接入率通常较高，而一些发展中国家或偏远地区则可能接入率较低，这背后可能涉及到网络基础设施建设、经济水平、政策支持等多种因素。数据集还记录了互联网用户的使用习惯，如最常见的上网活动（如社交、购物、在线学习等）、设备使用偏好（如手机、电脑、平板等）等。通过这些数据，可以了解不同地区用户对互联网功能的需求差异，以及数字技术在日常生活中的渗透程度。例如，某些地区可能更倾向于使用移动设备上网，这可能是因为移动网络的普及和移动设备的便捷性。此外，数据集还涉及数字经济增长的相关指标，如电子商务交易额、数字内容产业规模等。这些数据能够帮助分析互联网技术对经济的推动作用，以及不同国家和地区在数字经济领域的竞争力。例如，一些国家可能在电子商务领域发展迅速，而另一些国家则可能在数字内容创作方面更具优势。数据集的来源广泛，包括国际组织的统计数据、各国政府的报告以及市场研究机构的调查等。这些数据经过整合和清洗，形成了一个全面且具有代表性的数据集。它为研究人员、政策制定者以及相关企业提供了宝贵的资源，可用于分析全球互联网发展趋势、制定数字战略以及评估数字技术对社会经济的影响。通过深入研究这个数据集，可以更好地理解全球数字鸿沟的现状，并探索缩小差距、推动全球数字平等发展的途径。

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archive (3).zip （15个子文件）

global_internet_adoption_monthly_2010_2025.json 1.44MB

internet_penetration_7day.html 4.36MB

global_internet_adoption_daily_2010_2025_with_clusters.csv 5.3MB

automl_India.log 5KB

global_internet_adoption_monthly_2010_2025.csv 602KB

global_internet_adoption_daily_2010_2025.csv 4.98MB

combined_forecast_India.html 4.56MB

catboost_info

time_left.tsv 1KB

learn

events.out.tfevents 5KB

learn_error.tsv 1KB

catboost_training.json 10KB

global_internet_adoption_monthly_2010_2025_with_clusters.csv 602KB

global_internet_adoption_daily_2010_2025.json 20.33MB

prophet_forecast_India.html 5.61MB

internet_penetration_animation.html 4.63MB

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