alanponce,Alan Ponce,github

covid-symptom-challenge

Peter Ellis' entry in the COVID-19 Symptom Data Challenge, in partnership with Facebook Data for Good, Delphi Group at Carnegie Mellon University, the Joint Program on Survey Methodology at the University of Maryland, the Duke Margolis Center for Health Policy, and Resole to Save Lives, an initiative of Vital Strategies. Organised by Catalyst @Health 2.0.

covid19-cases-in-mexico

covid19_dashboard

This is a dashboard, similar to the one from Johns Hopkins using open source technology.

covid19model

Code for modelling estimated deaths and cases for COVID19.

covidmx

Python API to get information about COVID-19 in México.

crossfilter

Fast n-dimensional filtering and grouping of records.

cubeviz.ontowiki

OntoWiki component to visualize RDF-DataCubes

d3

A JavaScript visualization library for HTML and SVG.

d3-book

Sample code files to accompany the book “Interactive Data Visualization for the Web”

d3-cookbook

Source code for "Data Visualization with D3 Cookbook"

d3-threejs

Demo using D3.js and THREE.js

d3angularintegration

A tutorial about the integration of d3 and Angular Directives

d3network

Tools for creating D3 JavaScript network graphs from R.

da-100-analyzing-data-with-power-bi

dagdata

dashboard

The Dashboard for the European Data Science Academy.

data-analyst-with-python-track-datacamp-

In this track, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. You’ll also gain experience of working with real-world datasets, including data from the Titanic and from Twitter’s streaming API, to grow your data manipulation and exploratory data analysis skills, before moving on to learn the SQL skills you'll need to query data from databases and join tables. Start this track, grow your Python and SQL skills, and begin your journey to becoming a confident data analyst.