Fundamental data visualization concepts explained for both R and Python environments for a holistic understanding
Detailed exploration of key visualization tools including ggplot2, Seaborn, Altair, Plotly, and Dash for versatile applications
Case studies with step-by-step data operations and logic based on real-world open data from multiple sources
Coverage of web dashboards and data science environments to prepare readers for modern data visualization practices
Suitable for readers with foundational knowledge of R and Python, enabling advanced learning and application
Communicate the data that is powering our changing world with this essential text The advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrella of ‘artificial intelligence,’ has produced an explosion in Data Science research and applications. Data Visualization, which combine
Format
E-Book
Language
English
Target Audience
R and Python users with foundational knowledge
Coverage
Data visualization fundamentals, tools, case studies, web dashboards, data science environments