包含工作日和周末的客流数据，近300万条数据，可能进行客流特征分析。

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies. . Read more... Abstract: This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Wholesale customers data.csv，二分类常用数据集 Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv Wholesale customers data.csv

xls2csv.bat可以把文件夹下的xls批量转换成CSV文件，csv文件更容易导入R等数据分析软件。

包含Mysql.Data的5个dll文件，.netframe4.0版本。亲自测试引用成功。

Ma 等。 - 2018 - Data-Driven State-Increment Statistical Model and 1

生态学家在历史，当前和未来气候条件下的全球土地利用和土地覆盖（LULC）数据。 欢迎并感谢您访问此存储库！ 世界气候研究计划（WCRP， ://www.wcrp-climate.org/）是解决与气候耦合系统有关的团块的主要组织，提供过去，现在和将来的气候和土地覆盖全球状况的许多产品。 多项计划根据其需求和要求重新分配了这些数据，例如Wordclim（ )、Paleoclim（ )、Ecoclimate（ ） ）等。 土地使用协调项目（LUH ）提供了一套统一的土地使用方案数据集，以所需的格式将土地使用的历史重建与未来的预测平滑地联系在一起基于WCRP产品的地球系统模型（ESM）。 该数据是全球性的，具有约50 km的空间分辨率，涵盖850-2300年，包括土地使用状态，过渡带和mgt层以及若干代表性集中路径（RCP）和社会经济路径（SSP）。 有关数据的更多详细信息，请

Seer: Leveraging Big Data to Navigate the Complexityof Performance Debugging in

二维fdtd仿真模拟

Matplotlib的概念这里就不多介绍了，关于绘图库Matplotlib的安装方法：点击这里 小编之前也和大家分享过python使用matplotlib实现的折线图和制饼图效果，感兴趣的朋友们也可以点击查看，下面来看看python使用matplotlib绘制柱状图的方法吧，具体如下： 1. 基本的柱状图 import matplotlib.pyplot as plt data = [5, 20, 15, 25, 10] plt.bar(range(len(data)), data) plt.show() plt.bar函数签名为： bar(left, height, width=0.