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Dahlia is an instant visualization application specially designed for analysis of Twitter API data. It is written mostly in JavaScript and PHP and runs in a web server (XAMPP) environment.

Dahlia provides robust and reproducible data analysis, and interlinks with existing visualization packages. Analytical features are based on two main ideas:

• captured datasets can be relatively large for HTML to handle and thus requires preprocessing;
• the resulting selections of data can be analyzed in various ways, mainly by instant visualization on a webpage.

Check out the demo to get an idea of our dashboard and some awesome visualizations.

##Related Work There exists many sophisticated works that can bring us insights.

CartoDB, the commonly adopted geographical visualization tool has recently launched CartoDB Twitter Maps to perform geospatial analysis and visualization of Twitter activity. With this new feature users can search for the Twitter activity they’d like to visualize and analyze, select the period of tweets they want, and start mappingall in a matter of minutes. We are different from them in that Dahlia emphasizes the importance of understanding dataset in a descriptive way, while CartoDB focuses specially on geotagged data.

Another successful toolkit would be the Digital Methods Initiative Twitter Capture and Analysis Toolset DMI-TCAT, which is a set of tools to retrieve and collect tweets from Twitter and to analyze them in various ways. DMI-TCAT has powerful functions to modify captured dataset and output in standard format, but does not provide much visualization.

##Resources

• Introduction
• Example Gallery
• Install Guide

##Getting Started After you have successfully installed Dahlia, you can easily start analysis by going to your SERVER_FOLDER by copy-paste you:

cd SERVER_FOLDER/dahlia
chmod 755 run.sh
./run.sh

The app will require you to type in full path of your dataset, which must be .tar or .zip file

Welcome to Dahlia -- an instant visulization tool for Twitter API data
Please input the full path of your dataset, note that your data file must be .zip or .tar: