A collection of Jupyter notebooks, each walking you through a common example of bibliometric analysis using scholarly data from the OpenAlex API.

Research data analytics tutorials using the Dimensions Analytics API

Python client and CLI for scientometrics and research analytics using the Dimensions API.

Source code for Dimensions BigQuery LAB

AI-powered toolkit for analyzing and classifying academic research publications using LLMs and automated data collection. Output options: Mongodb database via providing your databse url. Json. Excel spreadsheet. See README for the quick setup, see documentation for details:

Author and publication networks for academics

My Integrated Research Environment: an interoperable, end-to-end solution for reproducible research. The IDE for Research.

In this project, the website user conversion has been studied. The dataset has over 20000 observations and 6 variables. The attributes discount, conversion, source and country are characters whereas the attributes total_pages_visited and visit_duration are numerics.

Tech Challenge of the Postgraduate in Data Analytics, from FIAP, developing a Data Warehouse with data from PNAD-COVID-19, from IBGE, using Pyspark and Google BigQuery for ETL, as well as an analysis of the importance of variables using permutation and a random forest model for classifying the condition of COVID-19,to guide the analysis of the data

Analyzing company data with Python

Exploring the OpenAlex datasets