01.12.18 - Notebook provides basic introduction to spatial data science in python for UMN Day of Data 2018
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Updated
Oct 25, 2018 - Jupyter Notebook
01.12.18 - Notebook provides basic introduction to spatial data science in python for UMN Day of Data 2018
Exploratory data analysis comparing rate of DUI arrests on Los Angeles freeway segments with and without transit alternatives.
A responsive GUI that performs six different methods of spatial interpolation
A package to generate and extend BigEarthNet GeoDataFrame's
Web scrapping all Egyptian houses, classifying their area on administrative 2 level, and calculating the average house prices for every region. Topics: Web Scrapping, Geopandas, Geoapify API, Data Analysis.
Projet de visualisation des données sur la pollution aux abords des crèches d'Île-de-France en Python en L3 à l'université Sorbonne Paris Nord
This repo includes exercises for working with datasets using pandas working as a team.
This Repository is about the final project of my Geocomputing course, demonstrating my ability to utilize Python libraries to visualize, manipulate data and perform data analysis
In this repository, all the product are developed during participating my GIS Practicum course (Geog778).
Explore two captivating data visualizations created using Plotly and GeoPandas. The first project showcases a Spline Radar Plot using fuel efficiency data, while the second project features a Choropleth Map illustrating student demographics in Canada. Dive into the Jupyter Notebooks to understand the visualization techniques and feel free to custom
This repository contains data visualization programs on various datasets done using python.
A Streamlit web app where the user can select agricultural disaster risk variables and view interactive visualizations.
A simple program showing the results of the election based on data in csv file using the folium library in python (unfinished)
Machine learning for pre and post-harvest crop stages in Ukraine via satellite Imagery
A personal toolset built over time by Ricco
Data analysis notebooks, algorithms, visualizations
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