data-visualizations

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

📊 Re-usable, easy interface JavaScript chart library based on D3.js

simple tools that assist options trading and education.

List of tools and Utilities for Data and Information Visualization. Ever Expanding list with Insights into some of the most happening Frameworks.

Customizable free NextGen Angular UI admin platform & template

Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.

Capstone projects of the IBM Data Analyst Professional

collection of SQL - Tableau integration projects for Data Analytics and Business Intelligence

react and d3 for data visualizations on the web

Hackathon project: Geographical map using textual data, topics reported by school inspection reports to identify models for improving the quality of education

Color palettes for R data visualization based on the official school colors of the University of Pennsylvania.

Malastare.ai is a startup Analytics Consulting Firm. Based in Texas, USA. We combine deep industry knowledge with specialized expertise in analytics, strategy, operations, and risk management. We leverage our clients' real-world experience, industry best practices and technology best practices to enable them to succeed in their big data projects.

Are we alone in the universe? - Data Analysis and Data Visualization of UFO sightings with R. How to analyze and visualize data of UFO sightings of the last century in the USA and the rest of the world with R language.

Features AWS hosted API for the visualization and prediction of bridge sites for Bridges to Prosperity

Data Visualization with D3 (using Telefilm Canada Dataset)

This is a Repository made for Coursera Assignments, and Tutorials which includes many interesting plots such as waffle charts, folium charts, chloropeth charts etc.

Over the past months, we have seen a significant racial justice reckoning happening across the country since the killing of George Floyd by a police officer in May 2020. This incident sparked a redirection of attention to similar lives that had been lost at the hands of officers, leading to calls for re-evaluation of the role and power that police hold. In order for stakeholders like activism groups and local policymakers to make the most change in the quickest and most effective manner in response to these calls, the data code and report strived to answer a questions that will enable this. The primary tool used was R, with ggplot and machine learning packages.

Code for Gender Demographic-Age Group Multibar Graph using Django and Chart.js

After reading many article that used data from Apple's health app. I wanted to try to create some data visualizations of test set count dataset. I used python, matplotlib and seaborn to analyze the step counts from the test data. I have included the work in a jupyter notebook file and the csv file that has the test data used for this side project.

Compared difference among bike users of Jersey City based on stations, gender and season in 2019.

An analysis of my Facebook social network using a Gephi network graph visualization to determine the number and types of communities I am a part of online.

Interactive visualization of pathways through Cornell CIS courses

Data Visualizations

Animals-extinction is an open source tool for viewing the latest data on totals of endangered animal species worldwide.

Data Science Specialization(Coursera)

I analyze and explore US Census Bureau Data using Data Visualization techniques to identify salient features useful for predicting an individual's income level. We use those relevant features and multiple classification methods (Decision-Tree, SVM, and K-Nearest Neighbor) to predict the income level for unknown individuals. Our client is a local University who wants to use income as the key demographic to decide criteria for marketing its degree programs. Each classifier explored has an accuracy of over 85%.