Visualising the poetic cultures of 18th periodicals

Introduction

A collection of Jupyter notebooks for analysing Dr Jennifer Batt's metadata of eighteenth century poems published in newspapers and magazines.

Since the projects uses more than one notebook and has its own Python modules, it is best run on locally via Anaconda (https://docs.anaconda.com/anaconda/install/).

Setup

Get the project

Download or clone the project from GitHub (https://github.com/ilrt/VisualisingPoeticCulture):

git clone https://github.com/ilrt/VisualisingPoeticCulture.git

Install the following packages

• pandas
• matplotlib
• seaborn
• xlrd
• ipywidgets
• fuzzywuzzy

Add a private_settings.py file

In the project select 'New' and choose 'Blank File' and call it private_settings.py.

Add a variable called DATABASE_ZIP_URL which is assigned the URL of a DropBox link. The URL should end in dl=1. For example:

DATABASE_ZIP_URL = 'https://www.dropbox.com/sh/l5kfrez2js5ckbm/GhCfdfGGHvbvbfFGTvvv?dl=1'

Get the data

To initiate the fetching of the data, select the overview notebook. This might take a few moments to complete.