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DH-Visualization-Development-Enviroment

This repository includes a base environment to deploy a project has a back-end written in Python, version 3.6. The back-end runs a server implemented using the flask library.

In order to process information it is possible to use libraries like pandas, numpy or after as needed.

The javascript front-end depends on jquery and the visualizations are implemented using d3.js.

Installing dependencies

The python dependencies are listed in the requirements.txt file, and can be installed using pip:

  pip install -r requirements.txt

At this point, there is no need to install any javascript dependencies. They are all fetched and loaded directly from the web.

Running the server locally

The server expects a /data folder, containing data files depending on the needs.

Once the folder has been created, the server can be started with:

  python app.py

The front-end is accessible with a browser at http://127.0.0.1:5000/.

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Progressive visual analysis of linguistic models for poetry analysis

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