Data science fundamentals with R, Python, and open data /
Marco Cremonini.
- Hoboken, New Jersey : Wiley, 2024.
- xxii, 455 p. : ill. ; 26 cm.
Includes index.
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.
9781394213245 (hbk.)
Data science. Data mining. Open data. Data analysis. Exploratory data analysis.