There are 1 repository under choropleth-maps topic.
Present your data as an effective and compelling story
Create bined heatmaps of the countries in Africa
Data-driven maps in JavaScript from FusionMaps (FusionCharts). Over 1,400+ maps of all countries, regions, counties etc.
Bubbles can be rendered in different colors and sizes based on the data values of their assigned shape. You can add information to shapes such as population density, number of users, and more. You can enable bubbles using the MapShapeSource.bubbleSizeMapper. This property is used to specify the value based on which the bubble’s size has to be ren..
Work and personal development applications of R and SQL
Data analysis and visualization with Python.
Use Python and NLP techniques to prepare data science students for the job hunt with information about data science positions, and an understanding of the expectations and requirements. Exploration of trends in data science job postings. Explore job descriptions to categorize skill sets, look for patterns, and prepare tools for the job search.
Provides insights on relocating to 2020s hotspot: Texas. Link to project report below.
Mapping Gapminder.org Data Sets with the Tidyverse -- Keeping it Simple as Possible.
Weekend-long COVID-19 data science project.
This is the repository for the 1st project on EDA for the Big Blue Data Academy Bootcamp 2021/2022. The title of the project is 'Deaths Caused by Police in the United States'
Using Python for comprehensive data analyses and machine learning, alongside Tableau for advanced data visualization, for a German company seeking to expand their customer base.
Python for Data Science projects
Choropleth-maps of german weather-data with plotly express
Data Visualization: Intro to GeoPandas using data on missing journalists worldwide.
Project where we provide inside folder API two interesting modules: DonutChartGenerator whose function graph_generator allows you to generate simple or double donut charts very easily and very customized and module MapGenerator whose function build_map allows you to build a map coloring regions according to certain values defined by yourself and including a legend and putGenericMarkers that allows you to set markers in the map and the HTML code you want to be displayed when we open a marker. In this case, we used these functions to create two different maps, in module MarriageEquailtyApprovalRate we generated a world map where the different countries have a different color depending on their approval rate for marriage equality in the second module MarriageEqualityLegalized we generate a map where the countries where marriage equality is legal are colored in green and they display a marker that when opened displays a donut chart with information about the voting for marriage equaility
Demonstrate the use of choropleth and cluster visualisations.
by team ColoRight // Ellie, Elin, Eva, and Jenny // March 9th-10th, 2024 ⛵🗺️
Adding timing and location to traditional types of data and to build data visualizations.
using follium and leaflet for mapping in python