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portada Big Data Visualization
Type
Physical Book
Publisher
Author
Language
English
Pages
56
Format
Paperback
Dimensions
22.9x15.2x0.3 cm
ISBN13
9786208435202

Big Data Visualization

Bhimavarapu, Usharani (Author) · LAP Lambert Academic Publishing · Paperback

Big Data Visualization - Bhimavarapu, Usharani

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Synopsis "Big Data Visualization"

Big Data Visualization transforms massive, complex datasets into understandable, actionable insights through graphical representation. It combines statistical analysis, machine learning, and interactive dashboards to reveal patterns, trends, and anomalies in structured, unstructured, and streaming data. Tools like Tableau, Power BI, Python libraries (Matplotlib, Seaborn, Plotly), R, Grafana, and Folium support time-series, geospatial, network, and multidimensional visualization. Techniques include line charts, scatter plots, heatmaps, 3D surfaces, and word clouds, enabling both exploration and decision-making. Visualization improves comprehension, aids predictive modeling, and facilitates communication of insights across stakeholders. It is essential in research, enterprise analytics, IoT, healthcare, finance, and smart systems.

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