data-visualization

A collection of resources around creative coding and generative art.

Fifth of five required projects for freeCodeCamp's Data Visualization certification. Codepen: https://codepen.io/ell8031/pen/LYwLBXz Live: https://treemap-thrill.surge.sh/

Fourth of five required projects for freeCodeCamp's Data Visualization certification. Codepen: https://codepen.io/ell8031/pen/KKONJNO Live: https://us-county-edudata.surge.sh/

This is a primitive python script designed to enable MARS beamline users to try initial analysis onto tomography volume from X-ray µCT. It relies on manuel segmentation of grey shade value related to the X-ray absorption. The project aims to prototype analysis tools thought and developed in collaboration with the users during the beamtime. The seed project is a set of function managing the volume opening, save/load of work, manual segmentation. It hope that will grow into a great tree, with new branch like, 3D rendering visualisation, data analysis visualisation, labelling, and much more ...

First of five required projects for freeCodeCamp's Data Visualization certification. Codepen: https://codepen.io/ell8031/pen/XWvJPYy Live: https://us-gdp-fcc-data-vis.surge.sh/

Second of five required projects for freeCodeCamp's Data Visualization certification. Codepen: https://codepen.io/ell8031/pen/eYqpGJj Live: https://scatter-plot-sense.surge.sh/

Third of five required projects for freeCodeCamp's Data Visualization certification. Codepen: https://codepen.io/ell8031/pen/bGXpGyQ Live: https://brainy-landtemp-heatmap.surge.sh/

This repo is a mix of several data science tools. There is a mix of web-scraping of data that is then cleaned, and used to analyze the property market in malta, using prediction models, visualisations and statistical analysis.

There is also visualisations for chess data from the 1980's till 2021. Moreover, there is twitter data, which is then stored in the neo4J nosql dbms.

No data is presented in the git, only the results. Code with the data can be found at: https://drive.google.com/file/d/15EQnRtsngDsFDD_A7g4N1fwCuXI0f_Xi/view?usp=sharing

The impossible often has a kind of integrity to it which the merely improbable lacks.

cdt-ui is a component of the crypto-detection-tool project designed to visualize reports generated by other crypto-detection tools.

Unsupervised Machine learning framework for well-well depth correlation using logs. Functionalities for converting well-log standard .las file format to other data formats.

Some code to analyze open data from Buenos Aires city related to COVID-19 pandemic.

Visualizing the path to finding a job with a Sankey diagram

Some code to analyse international data from COVID-19 Data Repository by Johns Hopkins CSSE and Argentina outbreak status.

Forensic project aiming to visualize data extracted from Plaso, Evtxtract, Volatility with a graph approach.

A wrapper to Facets https://pair-code.github.io/facets/ .