COVID19-MAP with circular marks in every country using Python Folium with Choropleth Map (total cases & total recovered) and Heat Map (total death)
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Updated
Nov 8, 2020 - Jupyter Notebook
COVID19-MAP with circular marks in every country using Python Folium with Choropleth Map (total cases & total recovered) and Heat Map (total death)
This is a repo I created about Covid-19 stats and graphs regarding Europe.
In this project you will find the code to create a Python API using Flask. The goal, to create an API that serves as data of species in Spain, where to find them, when to find them and create a model to predict where we can find species that are not in our database.
Part of the IBM Data Science Professional Certification
A data analysis and vaccination availability check project, helps in tracking and breaking chains of transmission of COVID-19. This project shows the number of active, confirmed, recovered cases and deaths from novel coronavirus country-wise and also state-wise in India. The study of data from various countries is shown with maps and graphs. As …
Mapping Covid-19 in São Paulo - Brazil
A data analysis program that allows one to visualize the unemployment rate in the United States in each state. The Folium library enables us to carry out web mapping by creating a choropleth map, in this case the map only has one layer. A legend is used for interpretation of the map data.
EDA, data processing, cleaning and extensive geospatial analysis on a selenium based web scraped dataset
This short repository contains a geospatial data visualization of percentage of people with Ukrainian as their native (or first) language according to 2001 census. A customized choropleth was developed with folium library. The map is interactive and allows the user do basic actions: zoom in-out, choose layers, display tooltips. The choropleth wa…
Exploratory Data Analysis using Python on supermarket sales dataset
Zomato Restaurants Exploratory Data Analysis, Data Preprocessing, Cleaning, Visualization with Spatial Analysis on Geographical data.
Tools for extracting and preparing Digital Earth Australia Satellite Multi-Spectral Images for use in Deep Learning Machine models.
Create interactive map using choropleth and folium and set different color for null values
A project from the Career Foundry Data Analytics Bootcamp centered around using scikit-learn with Python for supervised/unsupervised machine learning techniques.
Walkthrough of accessing publicly available data from CMS, focusing on the bid pricing tool
Data visualization with Python
Türkiye üzerinde olan her depremi canlı olarak izliye bilirsiniz.
Interactive choropleth maps displaying daily prevalence of COVID-19 for each county in NY State, from 2020 to 2023.
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