ODBIERZ TWÓJ BONUS :: »

    Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots Dr. Tania Moulik - okładka ebooka

    Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots Dr. Tania Moulik - okładka ebooka

    Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots Dr. Tania Moulik - okładka audiobooka MP3

    Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots Dr. Tania Moulik - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    140
    Dostępne formaty:
    PDF
    ePub
    Mobi

    Ebook

    94,99 zł

    Dodaj do koszyka lub Kup na prezent
    Kup 1-kliknięciem

    Przenieś na półkę

    Do przechowalni

    Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you’ll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques.

    You’ll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you’ve grasped the basics, you’ll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You’ll also get to grips with plotting trends, correlations, and statistical summaries.

    By the end of this book, you’ll have created data visualizations that will impress your clients.

    Wybrane bestsellery

    O autorze ebooka

    Tania Moulik has a PhD in particle physics. She has worked at CERN, the European Organization for Nuclear Research, and on the Tevatron at Fermi National Accelerator Laboratory in IL, USA. She has years of programming experience in C++, Python, and R. She has also worked in the feld of big data and has worked with technologies such as grid computing. She has a passion for data analysis and would like to share her passion with others who would like to delve into the world of data analytics. She especially likes R and ggplot2 as a powerful analytics package.

    Zamknij

    Wybierz metodę płatności

    Zamknij Pobierz aplikację mobilną Ebookpoint