Data Visualization (Twitter and Twitch)

Developed By:

• Suzanne Rashka- Role
• Rally Jinx- Role
• Paul Lederer- Role
• Shahzad Khan- Role
• Charles Harding- Role
• Jordan Duncan- Role

Description

The goal of this project is to create an interactive visualization with live streams of data. Specifically, one aspect of the project is to make sense of the massive amounts of chats that occur during a Twitch Live Stream. Another aspect is to create a user friendly experience to interact with a twitter feed by posting/viewing feeds as well as deriving greater insights through visualizations about specific topics such as:

• common word associations
• sentiment of topic
• popular location of topic

Intended Users

The target audience of this project is on the one hand anyone who views popular Twitch streams and on the other hand anyone who wants to perceive an added layer of meaning within the Twittersphere.

User Experience

Users simply have to enter the url of a livestream on twitch or any topic for twitter to immediately receive visualizations.

##Libraries and Frameworks

• Twitter
• Twitch GitHub
• Twitch IRC GitHub
• D3
• Passport.js
• Hicharts

Feature list

• List all features in priority order (including stretch features)

Link to Digital Copy of Wireframes for different views of Single Page Application

Trello Scrum Board

Trello Board

Link to Github Repository

Data Visualization Repository

Link to Continuous Deployment Pipeline View

Link to Deployed Application

HerokuApp

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USER STORIES FOR TWITCH

1. User can paste URL of stream of choice
2. User can see most common chat messages in chart
3. User can change range of data
4. User can change chart type (pie or bar.
5. User can switch between micro and macro views

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USER STORIES FOR TWITTER

1. User can enter a topic #
2. User can see all real time tweets with #
3. User can filter by location
4. User can see chart populated with common word occurrences given #
5. User can search by @user

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