Requesting data from Yelp API
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Updated
Jul 24, 2023 - Jupyter Notebook
Requesting data from Yelp API
Predicting if SpaceX Falcon 9 first stage landing will be successful using Datascience
Python program that parses a CSV file to display geolocation data on a map
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.
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 is about the final project of my Geocomputing course, demonstrating my ability to utilize Python libraries to visualize, manipulate data and perform data analysis
a mapping app for kccb sites with data visualizations
A simple program showing the results of the election based on data in csv file using the folium library in python (unfinished)
Django E-commerce Application
I have created visualizations that analyze crime in the city of Baltimore from a public dataset.
Exploratory Data Analysis using Python on supermarket sales dataset
US volcanoes location and world population interactive map
This repository features projects centered around geospatial data analysis, leveraging Geopandas and Folium for implementation.
This concise description denotes the purpose of the project: to provide a formal analysis of food access challenges for strategic decision-making.
This Python script is designed to analyze public transportation data for Mexico City.
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.
Script to create a population-colored map of the provinces in Turkey using Python and the folium and pandas libraries
Crime Prediction and Forecasting using Machine Learning Algorithms
Analyzing trends in failed orders for a ride-hailing company operating in Reading, UK.
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