This project shows the data analysis of economic data using Fred API (Federal Reserve Economic Data) by cleaning the data, fetching data from the API, exploring and analyzing.
- Updated
Jul 14, 2022 - HTML
This project shows the data analysis of economic data using Fred API (Federal Reserve Economic Data) by cleaning the data, fetching data from the API, exploring and analyzing.
A repo to learn the basics of Plotly and see how it work with live examples
Repo for scraping TD precious metals website, tracking price changes
A minimalist platform for learning, understanding and realising Iris Flower Classification.:cherry_blossom:
Choropleth-maps of german weather-data with plotly express
Online visualizer of Plotly.js graphs in JSON format
Data Science & Machine Learning Course
NOTE:Because of the free tier of Render, the website may take some time to load.
📈 A modular, multi-notebook visualization suite built with Plotly and Streamlit, showcasing advanced charting techniques, subplot dashboards, z-score bands, regression overlays, and app-based exploration. Ideal for mastering interactive data storytelling and production-ready Python workflows.
Project predicting geolocation from tweets as part of Yachay.ai externship
HousingPriceIndex (HPI) Website
Base for GTWF website
Electric Vehicles Market size analysis
This repository accompanies the Stock Market Analytics Zoomcamp course, taught by Ivan Brigada. It provides insights I've gathered as I explore, analyze, and model financial data.
This project aims to analyze a comprehensive GDP (Gross Domestic Product) dataset from various countries and time periods. By leveraging data visualization techniques, we have created and interpreted various graphs and charts to gain insights into the economic performance and trends of different nations.
This is a Flask-based Quiz Application that allows users to take quizzes, track their performance, and provides an admin panel for managing quizzes and analyzing user performance. Presentation Video 👇
Aid Megaline, a mobile carrier, in developing a model that will analyze subscribers' behavior. Once analyzed, subscribers on a legacy plan can be recommended one of Megaline's newer plans: Smart or Ultra.
Add a description, image, and links to the plotly-express topic page so that developers can more easily learn about it.
To associate your repository with the plotly-express topic, visit your repo's landing page and select "manage topics."