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Dynamic Visualization For Twitter Data

.\scripts contains Python code for different modules, including:

1. data_gathering:
    Setup and start a Twitter stream listening to specific keywords.
    
2. data_storing:
    Load and convert raw Twitter JSON files into a Postgres or SQLite database.
    
3. dataframes:
    Pandas DataFrames exported from the database to be visualized in Python.
    
4. eda:
    Visualization for some base Explanatory Data Analysis (EDA).
    
5. map:
    Highly interactive Bokeh application for visualizing Twitter data geographically.
    
6. network:
    Standalone interactive Bokeh plots for network analysis

.\demos contains .gif demo files for demonstrating how to use the interactive Bokeh plots.

Please set .\script as Python working directory before running any script.

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