L.VectorGrid.protobuf plugin for folium to allow vector tile layers to be added to your map.
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Updated
Jun 3, 2024 - Python
L.VectorGrid.protobuf plugin for folium to allow vector tile layers to be added to your map.
Allows using folium without an internet connection
A simple program showing the results of the election based on data in csv file using the folium library in python (unfinished)
This concise description denotes the purpose of the project: to provide a formal analysis of food access challenges for strategic decision-making.
Análise exploratória dos dados do COVID-19 / de 22 de Janeiro de 2020 a 27 de Julho de 2020 em 188 países análise feita com as ferramentas como: jupyter Notebook, Google Colab, Excel, Power BI e bibliotecas: Pandas, Matplotlib, Numpy.
Project Goals Use the power of Folium package to visualize data generated from Django Database on a Leaflet JS map. Use Django Admin Site to Import and Export data into and from the database. Visualize data using Folium's Simple Markers and Marker Cluster.
Python program that parses a CSV file to display geolocation data on a map
This project focuses on analyzing earthquake data using Python, Streamlit, and Folium. It provides interactive visualizations to explore earthquake occurrences worldwide, by country, and over time.
I have created visualizations that analyze crime in the city of Baltimore from a public dataset.
International Space Station tracker | Django
Django E-commerce Application
This repository contains a comprehensive analysis of Bangladesh's economic indicators, focusing on its rapid growth and the significance of its financial sector.
This repository features projects centered around geospatial data analysis, leveraging Geopandas and Folium for implementation.
Analyzing trends in failed orders for a ride-hailing company operating in Reading, UK.
서울시 열린데이터광장 공유킥보드 견인신고내역 2년치 및 주차구역 현황 데이터 시각화
Visualizing the Maxar Open Data for the 2023 North India Floods (pre and post event images) on the split map using leafmap.
A map with a group of airports and some of their features like code, location, geolocation, city, and country. In this map is used Djikstra to found short paths between different airports. These airports are grouped in a graph whose edges are some flights between them recorded in the "flights_final". The clean version is the one used.
Predicting if SpaceX Falcon 9 first stage landing will be successful using Datascience
This Python script is designed to analyze public transportation data for Mexico City.
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