Data Visualization with R | Path [2019, ENG] torrent

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Data Visualization with R | Path

Год выпуска: 2019
Производитель: Pluralsight
Сайт производителя://app.pluralsight.com/paths/skills/data-visualization-with-r
Автор: Коллектив авторов
Продолжительность: 8h
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: One of the best ways to analyze data is visually. It takes a fraction of a second to create connections and see patterns. Data Visualization is one of the best ways to sum up hundreds, thousands, even millions of data points at a glance.

What You Will Learn: This skill teaches you the best ways to visualize your data with R. R offers a variety of packages aimed at visualizing data which this skill will cover in great detail.

Prerequisites: [Pluralsight] Data Science Literacy | Path
[Pluralsight] Programming R for Data Analysts | Path

Related Topics: [Pluralsight / Justin Flett] Programming Data Structures in R | Path [2020, ENG]
[Pluralsight] Importing Data with R ● Cleaning Data with R | Path [2020, ENG]
[Pluralsight] Data Wrangling with R | Path [2020, ENG]
[Pluralsight] Exploratory Data Analysis with R | Path [2020, ENG]
[Pluralsight] Interpreting Data with R | Path [2019, ENG]
[Pluralsight] Building Statistical and Mathematical Models with R | Path [2020, ENG]
[Pluralsight / Matthew Renze] Data Science with R ● Exploratory Data Analysis ● Data Visualization [2021, ENG]
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Beginner
Create simple charts using base R graphics and create advanced charts using ggplot2. Creating Visualizations Using Base R Graphics (Emilee McWilliams, 2019)
Creating Visualizations in R Using ggplot2: R Playbook (Emilee McWilliams, 2019)

Intermediate
Format the elements of ggplot2 plots to customize the visualization for a specific purpose as well as adding annotations to plots. Formatting ggplot2 Visualization Elements in R (Martin Burger, 2019)
Annotating ggplot2 Visualizations in R (Martin Burger, 2019)

Advanced
Create special-purpose plots using specific R packages. Creating Special-purpose Plots: R Playbook (Chase DeHan, 2019)
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Файлы примеров: присутствуют
Субтитры: присутствуют
Формат видео: MP4
Видео: H.264/AVC, 1280x720, 16:9, 30fps, 501 kb/s
Аудио: AAC, 48.0 kHz, 96.0 kbit/s, 2 channels
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