How Long to Read Statistics and Data Visualization in Climate Science with R and Python

How Long Does it Take to Read Statistics and Data Visualization in Climate Science with R and Python?

It takes the average reader 7 hours and 3 minutes to read Statistics and Data Visualization in Climate Science with R and Python by Samual S. P. Shen

Assuming a reading speed of 250 words per minute. Learn more

Description

A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.

How long is Statistics and Data Visualization in Climate Science with R and Python?

Statistics and Data Visualization in Climate Science with R and Python by Samual S. P. Shen is 415 pages long, and a total of 105,825 words.

This makes it 140% the length of the average book. It also has 129% more words than the average book.

How Long Does it Take to Read Statistics and Data Visualization in Climate Science with R and Python Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 38 minutes to read Statistics and Data Visualization in Climate Science with R and Python aloud.

What Reading Level is Statistics and Data Visualization in Climate Science with R and Python?

Statistics and Data Visualization in Climate Science with R and Python is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Statistics and Data Visualization in Climate Science with R and Python?

Statistics and Data Visualization in Climate Science with R and Python by Samual S. P. Shen is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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