Projects with this topic
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The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.
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The Testmanager is a graphical application, that was made for visualizing parameters and signals of an EtherLab control process. The application is connected to the control process via the (Qt)PdCom library.
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Visualizador 3D interativo de algoritmos de IA e Calculo Diferencial. Alimentado por uma biblioteca matemática autoral em Python puro.
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OSINT - Data Visualization - Blockchain - Awareness - Scam
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Découverte de ce monde (Data / ML) via un projet perso. Basés sur des relevés météo de différentes sources, avec des outils comme Pandas, Dask, Spark, Polars, ..., du ML et du DL. Une couche de visualisation via PowerBI.
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glups is an interactive Python-based graphical user interface built on wgpu, specifically designed for the visualization and exploration of N-body simulation data.
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An introduction to coding and data analysis in Python and management & publication through git and dashboards.
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A data mining project analyzing hate crime patterns in the United States from 2017 to 2025, using clustering, predictive modeling, and association rule mining.
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An open-source data journalism platform for acquiring, processing, and analyzing leaked datasets and public records.
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Analyze the Chromium source tree and generate per-project metrics and circle-packing visualizations covering language distribution, runtime references, memory allocator usage, and architectural scopes.
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Projet académique de Master 2 en Python portant sur l’analyse de la qualité de l’air en France et en Île-de-France. Le projet combine scraping de données, traitement de données environnementales, analyse statistique des concentrations de polluants atmosphériques et visualisation cartographique des indices de qualité de l’air. Les analyses portent notamment sur les polluants NO₂, O₃ et PM10, avec une étude temporelle des données Airparif de 2014 à 2017.
Mots-clés :
python data-science web-scraping data-analysis data-visualization air-quality environmental-data geospatial-analysis time-series pandas
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A high-performance analytics dashboard designed to visualize data. The application leverages Polars for lightning-fast data processing and Nuxt 4 & Unovis for a reactive, component-driven user experience. The current data topic is charging station distribution and growth.
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A modular, object-oriented notebook designed to perform deep-dive analysis on over 70 years of Formula 1® racing history. Moving beyond basic statistics, this project processes complex datasets to uncover insights into global sport expansion, circuit characteristics (including altitude), driver efficiency, and constructor dominance
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Measuring particulate matter and nitrogen dioxide
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Some tools to process and visualize the data obtained in internal surveys.
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