Repo for scraping TD precious metals website, tracking price changes
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Updated
Jul 5, 2024 - HTML
Repo for scraping TD precious metals website, tracking price changes
World Bank Dashboard created using Flask, Plotly and the World Bank API
contains streamlit app of the corresponding dataset
An Interactive Data Visualization Project based on Plotly and D3.js to discover the spatial and temporal distribution of cherry blossom-viewing date in the US based on Twitter data
An app built with Streamlit. It reveals the whole picture of government grant funding in a specific state.
Plotly chart and folium map visualizing the number of patients registered at individual GP practices in the London Commissioning Region (Y56).
Plotly chart and folium map visualizing the number of patients registered at individual GP practices in the London Commissioning Region (Y56).
Within Formula One, data gathered from Computational Fluid Dynamics (CFD) does not always correspond to the telemetry collected on the racetrack, this document explores the current state of the art and applies vortex extraction and visualisation techniques to a time-dependent data set to allow for a meaningful interpretation of data.
Plotly chart and folium map visualizing the prescribing cost of the antibiotics Amoxicillin, Doxycycline Hyclate and Caefalexin for Clinical Commissioning Groups (CCGs).
Women representation in national parliaments - Interactive web app using Python Plotly
EDA, data processing, cleaning and extensive geospatial analysis on a selenium based web scraped dataset
Visialization of top HN articles (using HN API based on Python Crash Course, 2nd Edition)
Visualization of most starred Python projects on GitHub (using GitHub API based on Python Crash Course, 2nd Edition)
Student Data Analysis
Tutorial for plotly-python, a fantastic visualization tool.
The Mental Health in Tech Dashboard visualizes a dataset consisting of survey questions and responses about various aspects of the mental health of tech workers.
How to create interactive plots and intelligent dashboards with Plotly, Python, and the Dash library!
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