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Basics of Exploratory Data Analysis and Plotly and install it on your colab noteboo
Learn how to import necessary libraries and visualize data through simple as well as multi line plots with different markers using plotly
Visualize data through barplots, Area Chart and Stacked Area Chart using plotly
在面试中展现此实践经验
Welcome to this 1 hour long guided project on Data Visualization using Plotly. Plotly is a python graphing library which is used to make interactive, publication-quality graphs. It allows users to import, copy and paste, or stream data to be analyzed and visualized. In this project you will learn how to create beautiful visualizations using Plotly constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.
Some elementary knowledge of Python and Pandas
Python Programming
Plotly
Pandas
Data Visualization (DataViz)
在与您的工作区一起在分屏中播放的视频中，您的授课教师将指导您完成每个步骤：
Learner Task 1 : You will be able to learn the basics of Exploratory Data Analysis, Plotly and install it on your colab notebook
Learner Task 2 : You will be able to learn how to import necessary libraries and visualize data through simple as well as multi line plots with different markers using plotly
Learner Task 3 : You will be able to visualize data through barplots, Area Chart and Stacked Area Chart using plotly
Learner Task 4 : You will be able to visualize data through Pie Chart and Multilevel Piechart using plotly
Learner Task 5 : You will be able to visualize data through scatter plot using plotly
您的工作空间就是浏览器中的云桌面，无需下载
在分屏视频中，您的授课教师会为您提供分步指导
由于您的工作空间包含适合笔记本电脑或台式计算机使用的云桌面，因此指导项目不在移动设备上提供。
指导项目授课教师是特定领域的专家，他们在项目的技能、工具或领域方面经验丰富，并且热衷于分享自己的知识以影响全球数百万的学生。
您可以从指导项目中下载并保留您创建的任何文件。为此，您可以在访问云桌面时使用‘文件浏览器’功能。
您可在页面顶部点按此指导项目的经验级别，查看任何知识先决条件。对于指导项目的每个级别，您的授课教师会逐步为您提供指导。
是，您可以在浏览器的云桌面中获得完成指导项目所需的一切。
您可以直接在浏览器中于分屏环境下完成任务，以此从做中学。在屏幕的左侧，您将在工作空间中完成任务。在屏幕的右侧，您将看到有授课教师逐步指导您完成项目。
还有其他问题吗？请访问 学生帮助中心。
