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…

using follium and leaflet for mapping in python

Present your data as an effective and compelling story

Python for Data Science projects

Weekend-long COVID-19 data science project.

Provides insights on relocating to 2020s hotspot: Texas. Link to project report below.

Create bined heatmaps of the countries in Africa

Mapping Gapminder.org Data Sets with the Tidyverse -- Keeping it Simple as Possible.

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'

Demonstrate the use of choropleth and cluster visualisations.

Choropleth-maps of german weather-data with plotly express

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.

Data analysis and visualization with Python.

Adding timing and location to traditional types of data and to build data visualizations.

Python dashboard app that shows french cities tax rates on a choropleth map

Work and personal development applications of R and SQL

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..

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.

Data Visualization: Intro to GeoPandas using data on missing journalists worldwide.

Examples of creating maps in R