All of our computational notebooks
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Updated
Dec 16, 2021 - Python
CSV is a common data exchange format that stores tabular data in a plain text file. A CSV file stores the data in a delimited text file that uses commas to separate the values.
All of our computational notebooks
Perform the Extract, Transform and Load (ETL) process to create a data pipeline on movie datasets using Python, Pandas, Jupyter Notebook and PostgreSQL.
The jupyter notebooks provided in this project while being based on IIIF repositories, extract metadata and images, creating a CSV file representing the dataset as a result. These are examples of exploitation that can serve as a basis for further development.
Analysis of data from Angolan cities and population with Jupyter Notebook
Pipeline to get data sources from Instituto Nacional de Salud - INS related to Covid19 cases daily report in Colombia to create datasets.
Machine learning | Data-Science | Each branch is a different subject
An example of MiniQL in a JavaScript Notebook
This project includes several notebooks to exploit GLAM datasets that contain text and metadata.
Group work- Looking at three major US East Coast cities, we aim to determine if in 2016 the days with full moons had an effect on crime rates.
Demonstration of skills analyzing data from a pet shelter. The CSV data contains tables detailing the incoming and outgoing animals and I use my knowledge of Pandas to gather and present the requested information.
Official repo of the "Data analysis and visualisation in Python (2021)" series.
Programming challenges in scripts and jupyter notebooks.