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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-data-visualization-with-r-a-complete-guide-3-in-1/
课程评论：没有评论
课程名称：R：数据可视化与R - 完整指南：3合1 概述：有效的数据可视化能够让您从数据中获得更好的洞察，做出更明智的商业决策！R是最广泛使用的开源数据和图形分析语言之一。它具有跨平台的优越性，可以让用户加载各种包并开发自己的包以更好地解释数据。R让有志于成为分析师和数据科学家的专业人士能够以令人印象深刻的方式展示复杂的数据集。如果您是一名数据科学专业人士，想要学习R的强大数据可视化技术，那么这个学习路径非常适合您。 该综合的3合1课程采用实操的方法，每个食谱都逐步展示独特的绘图、图表和地图功能，以及2D和3D互动图的可视化！您将从使用基本的R绘图技术生成各种图形开始，利用R包为您的数据增添背景和意义。最后，您将设计互动可视化并将其集成到您的网站或博客中！课程结束时，您将掌握R的可视化能力，能够构建互动图形、图表和饼图，并可视化2D和3D互动图。 课程内容与概述：该培训项目包括3门完整的课程，经过精心选择，以提供最全面的培训体验。 第一门课程，《R数据可视化学习》，涵盖了掌握R中最流行的包和函数，以创建适用于网络的互动可视化。我们从将数据从CSV和Excel表格等流行格式导入R开始，然后学习如何使用默认选项创建基本的图形，如直方图和散点图，确保令人惊叹的结果。课程的最后部分将广泛讨论Shiny包，该包允许您直接从R控制台创建功能齐全的网页，并可以将其上传到实时网站以便同行和同事浏览，方便您分享工作。您将看到如何构建完整网站以导入和绘制数据，并将其上传供他人使用。最后，您将复习所学概念，同时创建一个完整的网站，保证既有趣又富有挑战性。 第二门课程，《R数据可视化 - 基本图形、地图和饼图》，侧重于掌握R的可视化能力，构建互动图形、图表和饼图。我们从基础的R图形入手，并介绍热图及其定制。随后，我们逐步学习使用googleVis包创建互动地图，最终生成分级地图、等高线图、气泡图和饼图。 第三门课程，《R数据可视化 - 词云和3D图形》，涵盖了R的高级可视化技术，以构建词云、3D图形等。我们将再次从基础的R图形和热图入手，逐渐学习使用googleVis包创建互动地图，并生成分级地图、等高线图、气泡图和饼图。 到课程结束时，您将掌握R的可视化能力，能够构建互动图形、图表和饼图，以及可视化2D和3D互动图。 作者介绍： Fabio Veronesi获得了克兰菲尔德大学的数字土壤制图博士学位，随后前往苏黎世联邦理工学院，担任博士后研究员已有三年。他的职业生涯专注于环境研究相关主题：数字土壤制图、制图、阴影地形图、可再生能源以及输电线路选址。在此期间，他专注于空间统计技术在环境数据中的应用。 Atmajit Singh Gohil在纽约市的一家咨询公司担任高级顾问。毕业后，他在金融行业以固定收益分析师的身份工作。他在自己的博客上撰写有关数据操作、数据探索、可视化和基本R绘图函数的文章。他拥有纽约州立大学布法罗分校的金融经济学硕士学位，并获得印度浦那大学的经济学硕士学位。他喜爱阅读关于数据可视化的博客，并在空闲时热衷于远足。
Effective visualization helps you get better insights from your data, make better and more informed business decisions! R is one of the most widely used open source languages for data and graph analysis. It is platform-independent and allows users to load various packages as well as develop their own packages to interpret data better. R gives aspiring analysts and data scientists the ability to represent complex sets of data in an impressive way. So, if you're a data science professional and want to learn about the powerful data visualization techniques of R, then go for this Learning Path.This comprehensive 3-in-1 course follows a practical approach, where each recipe presents unique functions of plots, charts, and maps as well as visualization of 2D and 3D interactive plots in a step-by-step manner! You'll begin with generating various plots in R using the basic R plotting techniques. Utilize R packages to add context and meaning to your data. Finally, you'll design interactive visualizations and integrate them on your website or blog!By the end of the course, you'll master the visualization capabilities of R to build interactive graphs, plots, and Pie charts as well as visualize 2D and 3D interactive plots.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning R for Data Visualization, covers getting to grips with R's most popular packages and functions to create interactive visualizations for the web. We start by importing data in R from popular formats such as CSV and Excel tables. Then you will learn how to create basic plots such as histograms, scatterplots, and more, with the default options, which guarantees stunning results. In the final part of the course, the Shiny package will be extensively discussed. This allows you to create fully-featured web pages directly from the R console, and Shiny also allows it to be uploaded to a live website where your peers and colleagues can browse it and you can share your work. You will see how to build a complete website to import and plot data, plus we will present a method to upload it for everybody to use. Finally, you will revise all the concepts you've learned while having some fun creating a complete website. By the end of the course, you will have an armor full of different visualization techniques, with the capacity to apply these abilities to real-world data sets.The second course, R Data Visualization - Basic Plots, Maps, and Pie Charts, covers mastering the visualization capabilities of R to build interactive graphs, plots, and Pie. We start - off with the basics of R plots and an introduction to heat maps and customizing them. After this, we gradually take you through creating interactive maps using the googleVis package. Finally, we generate choropleth maps and contouring maps, bubble plots, and pie charts.The third course, R Data Visualization - Word Clouds and 3D Plots, covers advanced visualization techniques in R to build word clouds, 3D plots, and more. We start off with the basics of R plots and an introduction to heat maps and customizing them. After this, we gradually take you through creating interactive maps using the googleVis package. Finally, we generate choropleth maps and contouring maps, bubble plots, and pie charts.By the end of the course, you'll master the visualization capabilities of R to build interactive graphs, plots, and Pie charts as well as visualize 2D and 3D interactive plots. About the AuthorsFabio Veronesi obtained a Ph.D. in digital soil mapping from Cranfield University and then moved to ETH Zurich, where he has been working for the past three years as a postdoc. In his career, Dr. Veronesi worked at several topics related to environmental research: digital soil mapping, cartography, and shaded relief, renewable energy and transmission line siting. During this time Dr. Veronesi specialized in the application of spatial statistical techniques to environmental data.Atmajit Singh Gohil works as a senior consultant at a consultancy firm in New York City. After graduating, he worked in the financial industry as a Fixed Income Analyst. He writes about data manipulation, data exploration, visualization, and basic R plotting functions on his blog. He has a master's degree in financial economics from the State University of New York (SUNY), Buffalo. He also graduated with a Master of Arts degree in economics from the University of Pune, India. He loves to read blogs on data visualization and loves to go out on hikes in his free time.
