GithubHelp home page GithubHelp logo

dsc-3-28-04-graph-data-io-codealong-seattle-ds-career-040119's Introduction

NetworkX Introduction - Lab

Introduction

In this lab, you'll practice some of the introductory skills for NetworkX introduced in the previous lesson. To do this, you'll create a graph to visualize users and businesses from yelp reviews.

Objectives

You will be able to:

  • Create basic network graphs using NetworkX
  • Add nodes to network graphs with NetworkX
  • Add edges to network graphs with NetworkX
  • Visualize network graphs with NetworkX

Import the Data

To start, import the data stored in the file 'Yelp_reviews.csv'

#Your code here

Creating a Graph

Now, create an initial graph!

#Your code here

Adding Nodes

Create a node for each user and each business in the dataset. Networks with multiple node types like this are called bimodal networks.

Optionally, go further by creating a list of colors for when you visualize the graph. If you do this, append the color "green" to your color list every time you add a user node and append the color "blue" to your color list every time you add a business node.

#Your code here

Adding Edges

Next, iterate through the dataset and create an edge between users and the businesses they have reviewed.

#Your code here

Visualizing the Graph

Finally, create a visualization of your network. If you chose to color your nodes, pass the list of colors through the optional node_color parameter.

#Your code here

Summary

Nice work! In this lab you created an initial network to visualize a bimodal network of businesses and yelp reviewers!

dsc-3-28-04-graph-data-io-codealong-seattle-ds-career-040119's People

Contributors

loredirick avatar shakeelraja avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.