A collection of data analytics and visualization projects designed to uncover insights from diverse datasets. These projects include analyses on taxi trends in New York and Peru, showcasing the power of data-driven storytelling 📌 Project Objectives: Load and explore the taxi dataset Clean and prep...
Data-Analysis-and-Visualization This repository showcases my data analysis and business intelligence projects, including reports, visualizations, datasets, and documentation. It highlights my ability to extract insights, optimize decision-making, and present findings using Excel, SQL, Tableau, Power BI, ...
TheRAPIDS Visualization Guideon GitHub demonstrates the features and benefits of visualization libraries working together. Based on the publicly availableDivvy bike share historical trip data,the notebook showcases how a visualization-focused approach to EDA can improve using the following GPU enabled libr...
Visual is a Javascript library for data visualization developed by the Statistical Institute of Catalonia (Idescat). It is based on popular open source solutions. Visual offers a simple interface that encapsulates the complexity of these solutions for the most common chart types. Not a web developer...
Data Science Dojo blog features the most recent, and relevant articles about data science, analytics, generative AI, large language models, machine learning, and data visualization.
brings data to life, and emphasizes web standards, combining powerful visualization techniques with a data-driven approach toDocument Object Model (DOM)manipulation. D3 is the most popular data visualization project on Github by a wide margin, and is well-represented in the data science community....
CS 171 Visualization Process Mining: Data science in Action Oxford Deep Learning Oxford Deep Learning - video Oxford Machine Learning UBC Machine Learning - video Data Science Specialization Coursera Big Data Specialization Statistical Thinking for Data Science and Analytics by Edx Cognitive Class AI by...
component analysis (PCA) for dimensionality reduction; since the number of activations varies from 1024 in the first hidden layer to 32 in the penultimate layer, we use PCA to get first two principal components and scale them in the range of [0,1] for ease of visualization using a scatter...
Eldawy A, Mokbel MF, Jonathan C (2016) Hadoopviz a mapreduce framework for extensible visualization of big spatial data. In: Data Engineering (ICDE), 2016 IEEE 32nd international conference on, pp. 601–612. IEEE Elgendy N, Elragal A (2014) Big data analytics: a literature review paper...
A collection of data analysis and visualization projects designed to uncover insights from diverse datasets. These projects include analyses on COVID-19 trends, stock trading patterns, housing market prices, IoT data, and more, showcasing the power of data-driven storytelling. ...