A Jupyter Notebook demonstrating the extraction and visualization of stock data for Tesla and GameStop, crafted for the Python Project for Data Science IBM Certification.

Objective, create an intuitive and user-friendly web-based application for visualizing and exploring NHANES data. This dashboard will enable users, including those with limited or no Python programming experience, to interact with NHANES data and generate informative visualizations to gain insights into various health-related aspects.

designed to visualize global trends in air pollution death through a series of dynamic charts, maps, and key metrics. By analyzing how well the current prototype communicates significant insights and supports user exploration, this study guides the next iteration of the design.

A Simpel Mnist Flower's Interactive Data Visualization using Streamlit and GGPlot.

This is an Excel Project wherein we have applied formulas such as summits, maxims, minis, averageifs, countifs on a large data set. Have also created an interactive dashboard using pivot tables and various data visualisation tools. Presented data validation and conditional formatting. Have also presented VLookup, HLookup, IF and IFERROR Functions.

Performed exploratory data analysis (EDA) in python on the world happiness report datasets (for years 2015, 2016, 2017, 2018, and 2019) from Kaggle; to analyze how measurements of well-being can effectively help assess the progress of nations across the world.

A self initiated Excel Dashboard project. Note: dynamic refresh works only in Excel (Windows desktop); Mac version opens as static view.

An interactive R Shiny dashboard analyzing Melbourne's metropolitan rail network. Features include supply-demand analysis, a custom Station Crowding Index (SCI), and network robustness simulations.

Tableau Dashboard of Alcohol Consumption Statistics by Country

Repository for the revamp of http://dataviz.tools

A full-stack sustainable gardening platform integrating AI-based plant disease recognition, climate-adaptive recommendations, and geospatial visualization. Built with Vue, AWS serverless architecture, and Python-based data and ML pipelines.

An interactive dashboard to explore analyze and visualize data with extremely, and a flask API

This repository contains visualizations for covid19 data.

Web application developed using Django. Using random forest algorithm to accurately predict car prices based on the users input.

MoodRiser is a web application created during a 24-hour hackathon at the CodeForAll Fullstack Programming Bootcamp. Utilizing HTML, CSS, JavaScript, Python with Flask, and various APIs including Spotify and Google Books, and OpenAI, this SPA helps users manage their emotions through personalized content recommendations based on their current mood.

A responsive analytics dashboard with interactive charts, advanced filtering, cookie-based user preferences, and secure authentication. Share filtered views via URLs, backed by a robust API and data pipeline.

UI visualization tool for trade management

Interactive Data Visualisation Project - A Visual Study on Barcelona