Data Visualization, Volume I: Recent Trends and Applications Using Conventional and Big Data - Amar Sahay

Descriere YEO:

Data Visualization, Volume I: Recent - Disponibil la libris.ro

Pe YEO găsești Data Visualization, Volume I: Recent de la Amar Sahay, în categoria Business & Economics.

Indiferent de nevoile tale, Data Visualization, Volume I: Recent Trends and Applications Using Conventional and Big Data - Amar Sahay din categoria Business & Economics îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 109.07 Lei

Caracteristicile produsului Data Visualization, Volume I: Recent

• Brand: Amar Sahay
• Categoria: Business & Economics
• Magazin: libris.ro
• Ultima actualizare: 15-12-2024 01:42:32

Comandă Data Visualization, Volume I: Recent Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda Data Visualization, Volume I: Recent de la libris.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
Data visualization involves graphical and visual tools used in data analysis and decision making. The emphasis in this book is on recent trends and applications of visualization tools using conventional and big data. These tools are widely used in data visualization and quality improvement to analyze, enhance, and improve the quality of products and services. Data visualization is an easy way to obtain a first look at the data visually. The book provides a collection of visual and graphical tools widely used to gain an insight into the data before applying more complex analysis. The focus is on the key application areas of these tools including business process improvement, business data analysis, health care, finance, manufacturing, engineering, process improvement, and Lean Six Sigma. The key areas of application include data and data analysis concepts, recent trends in data visualization and ÒBig Data, Ó widely used charts and graphs and their applications, analysis of the relationships between two or more variables graphically using scatterplots, bubble graphs, matrix plots, etc., data visualization with big data, computer applications and implementation of widely used graphical and visual tools, and computer instructions to create the graphics presented along with the data files.