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.

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.

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.

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.

Interactive Data Visualisation Project - A Visual Study on Barcelona

Tableau Dashboard of Alcohol Consumption Statistics by Country

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

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

This repository contains visualizations for covid19 data.

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