Hierarchical relational data analysis using python

提供方
Coursera Project Network
在此指導 項目中,您將:

Learn what Data Granularity is.

Learn about Treeemaps and Sunburst Diagram

When/Why/How Data aggregation

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Data Pre-ProcessingPython ProgrammingData GranularityPlotlyHierarchical Data Analysis

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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