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\nVisualize your data using ggplot. R programming is the best platform for creating plots and graphs\n

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\n\nPublisher:\n\nR Programming 101\n\n\n
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\nThis video is part of a series of videos that consider data analysis using R programming. It is primarily for beginners. In this video I talk about using R to visualise your data. Data visualization using R is best done using the ggplot...\nThis video is part of a series of videos that consider data analysis using R programming. It is primarily for beginners. In this video I talk about using R to visualise your data. Data visualization using R is best done using the ggplot (ggplot2) package. You'll learn the principles of creating plots and graphs to present your data including when to use a barplot, a histogram, a density plot, a scatter plot, a boxplot and more. The video focusses on understanding what plot to create depending on the data that you have (either categorical or continuous or a combination of the two). If you are interested in data analysis, statistical analysis then this series is for you. It starts with explore your data, then goes on to clean, manipulate and now visualize your data. \n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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16:27
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Grade
Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nR Programming 101\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
2 more...
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Usage Permissions
Fine Print: Educational Use
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Additional Materials

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Concepts

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data, plot, eye color, life expectancy, color, weight, statistics
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Additional Tags

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r programming, programming, boxplot, ggplot, visualisation, visualization, numeric, quantitative, plots, analysis, descriptive, density plot, cheat sheet, dot tells, box plots, violin plot, bar plot, hair color, super easy, data visualization, data set, categorical variable, population size, numeric variable, average weight, variable, point, pipe, feed, easy, categorical, 2 categorical, average, year
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Classroom Considerations

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Video is ad-free
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