Notebooks Modules Examples

articles_data_analysis

Notebok written to query, analyze, and plot different research related databases.

This notebook presents code cells for querying the number of published papers , or google searches, containing a user defined keyword, over a custom range of time, with subsequent plotting of this data, for demonstrating the interest evolution on this topic over the years.

The notebook workflow is based on my personal preferences, managing most of the datas as pandas dataframes, with the possibility of saving it as a csv, as well as reading a stored csv for analysis and plotting.

The code cells were designed based on a non-paid API key user, not being the most optimized case for the user possesing one of these paids APIs.

More specifically, this notebook presents interactions with:

• Google Trends

• Scopus Database

• PubMed Database

The Scopus database requires the user to generate a free api, which requires an elsevier account.

This notebook require the following packages to be installed to be fully executed:

python -m pip install pandas pytrends metapub matplotlib pybiometrics numpy