Network Protocol Analyzer & Deshboard (Cyber Security)

Análisis de texto y visualización de datos con R, de conversaciones de WhatsApp, primer parte. Uso de librería rwhatsapp.

📊 Usage examples of javafx dataviewer - https://github.com/jasrodis/javafx-dataviewer-wrapper

The web dashboard for the world's largest crowdsourced network of open-source, low-cost, CO2 Gas Detection Sensors.

Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.

AI-powered Amazon analytics: Get product insights, deal detection, and market trends from 23 marketplaces with interactive dashboards and exportable data.

Visualization of Hybrid Organic compounds with graphs

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

Districtwise CSV files for NFHS-5 and NFHS-4

This js implementation may be the smallest source code for a useful chart to date (to my knowledge)! The World smallest chart plots only positive values, namely it takes values from zero up to an upper bound. The projects in this repository show two js charts and both use the HTML5 canvas object.

Explore scalable Plotly Dashboards with dynamic capabilities. Organized structure for multiple dashboards, each with Plotly graphs and algorithms. Share common components and utilities for efficient development.

Graphix — Turning ideas into stunning, high-performance Graphs with Next.js, Tailwind & AI magic. [Remakes Labs]

Projeto de um painel interativo em Python usando Plotly e Streamlit para visualização e pandas/Numpy para análise de dados de uma loja fictícia chamada “Clothing Store”. Com dados de 3900 clientes, o painel foi desenvolvido para apoiar decisões estratégicas, seguindo etapas de pré-processamento e construção visual com filtros, cartões e 2 páginas.

We aim to forecast precipitation and temperature for the next 2-3 hours in Nepal using past meteorological data (e.g., humidity, temperature, wind speed). Numerical weather forecasting's high computational demands challenge agriculture and flood management. To address this, we use LSTM techniques for optimal solutions.

Trying to create AMU own version of Virtual Lab

Olympics data analysis is a web application based on streamlit framework. The primary objective of this paper is to analyze the Olympic dataset using python to compare overall performance of countries and to evaluate the contribution of each country in the Olympics.

DataVerse is an innovative platform that empowers users with advanced data analysis tools, enabling exploration of various data mining techniques and machine learning models to extract meaningful insights from their data.

Sales Data Analysis Tool