Hierarchical relational data analysis using python

Offered By
Coursera Project Network
In this Guided Project, you will:

Learn what Data Granularity is.

Learn about Treeemaps and Sunburst Diagram

When/Why/How Data aggregation

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

Data Pre-ProcessingPython ProgrammingData GranularityPlotlyHierarchical Data Analysis

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  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

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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