Data science fundamentals with R, Python, and open data
Cremonini, Marco
creator
author.
text
Hoboken, New Jersey
Wiley
2024
monographic
eng
xxii, 455 p. : ill. ; 26 cm.
Introduces essential concepts and techniques of R and Python for data science, with a strong focus on open data. Covers exploratory data analysis, data organization, data frames, logical conditions, dates and strings, missing values, pivoting, grouping, iterations, functions, data-frame joins, and list/dictionary data formats.
Marco Cremonini.
Includes index.
Data science
Data mining
Open data
Data analysis
Exploratory data analysis
006.312 CRE
9781394213245 (hbk.)
260921
20260922122204.0