GitHub topics: geopandas-dataframes

Repositories

sharikalog7/OSM

Size: 484 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Kamila-Hamalcikova/Avalanche_danger_in_France

Visualization project with use of GeoPandas and Bokeh libraries. The aim is to show map of french communes where avalanche accidents occured the most often in last 10 years.

Language: Jupyter Notebook - Size: 3.48 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 2

AdrienGahery/GIS-DataScience_Pipeline

Performing GeoSpatial Data Science on PostGIS-hosted data through Jupyter Notebooks

Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

rahulbhoyar1995/Geospatial-Data-Analysis-Projects

Explore geospatial data analysis through diverse projects. Gain insights into mapping, visualization, and location-based analytics in this repository focused on practical applications and solutions.

Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rajesvariparasa/spatial-routing-libraries-and-services

Using OSMnx, OSRM, and Google Maps Directions API with Python to calculate shortest, fastest, and traffic-based most-efficient routes for a set of origin and destination points

Language: Jupyter Notebook - Size: 2.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 1

doshiharmish/Boston-311-Service-Requests-Analysis-2021

This project delves into an extensive analysis of 311 service requests made by Boston residents in 2021. It aims to uncover patterns, trends, and crucial insights from the dataset, shedding light on complaint categories, request sources, locations, and government handling.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SaM-92/Choropleth-map-Ireland

How to create a choropleth map, assigning your data of interest based on geographical distribution.

Language: Python - Size: 1.87 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

shwetanaren/Data-Product-Mgmt

Data-Product-Management

Language: Jupyter Notebook - Size: 5.85 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Siddharth1989/WranglingRealEstateData

Wrangled real estate data from multiple sources and file formats, brought it into a single consistent form and analysed the results.

Language: Jupyter Notebook - Size: 8.51 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

SamuelHericles/Geopandas

Aprendendo a tratar dados georreferenciados

Language: Jupyter Notebook - Size: 210 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

mpalmamanterola/PythonProyects

Portafolio of Python on Machine Learning and Deep Learining proyects

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Jonny-T87/Oil_Gas_Utility

A visual representation of a dataset representing natural gas transmission hubs in the contiguous United States.

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Bertrandlobo/Geopandas

GTFS _LineFrequencies

Language: Python - Size: 17.1 MB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

geoafrikana/geopandas-tutorial

The dataset for thisproject contains information about populated places of the world. The task is to query and find all the capital cities in the World that have a population greater than 1 million and save the resulting subset as a GeoJSON file.

Language: Jupyter Notebook - Size: 766 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0