Hierarchical relational data analysis using python

提供方
Coursera Project Network
在此指导项目中,您将:

Learn what Data Granularity is.

Learn about Treeemaps and Sunburst Diagram

When/Why/How Data aggregation

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

By the end of this project you will learn how to analyze Hierarchical Data. we are going to work with a dataset related to Mexico toy sales. The dataset contains some hierarchical data about different products sold in different stores in different cities in Mexico. we are going to load this data and after some preprocessing steps, we are going to learn how to analyze this data using different visualization techniques. During this project we are going to learn about a very important concept called Data Granularity. And we will also learn how to use different levels of granularity to answer some analytical question. and at the end we are going to talk about Treemaps and Sunburst Diagram, two handy visualization techniques used for hierarchical data.

您要培养的技能

  • Data Pre-Processing
  • Python Programming
  • Data Granularity
  • Plotly
  • Hierarchical Data Analysis

分步进行学习

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:

  1. Introduction to the project

  2. Data Preprocessing

  3. Data Exploration

  4. Understanding of Data Granularity

  5. Using Data Granularity concept to answer to some analytical questions

  6. Sunburst Diagram and Treemap

指导项目工作原理

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

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