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\nDescribe and Summarise your data\n

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\n\nPublisher:\n\nR Programming 101\n\n\n
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\nIf you want to learn about to summarise your data by making tables in R or provide descriptive statistics of your dataset, then this video is for you. R programming provides more than one way to summarise and describe your data. You can...\nIf you want to learn about to summarise your data by making tables in R or provide descriptive statistics of your dataset, then this video is for you. R programming provides more than one way to summarise and describe your data. You can use base R using, for example, the table() function, for example (and that is covered in this video). I prefer to use the Tidyverse packages that make it much easier (especially if you are a beginner) to create a summary or table. So if you are into data science or just needing to analyse some data, your starting point is descriptive statistics and summary tables before you move on to inferential statistics and modelling your data. This is an R programming for beginners video and I only use datasets that you have each access to. \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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18:08
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Grade
Higher Ed
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Subjects
STEM
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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
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Usage Permissions
Fine Print: Educational Use
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Concepts

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data, plot, tables, sleep, numbers, variables, values, statistics
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Additional Tags

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r programming, programming, boxplot, ggplot, visualisation, visualization, numeric, quantitative, plots, analysis, descriptive, pipe operator, numeric variable, brain weight, hand side, contingency tables, hard part, bit messy, total sleep, etcetera, numbers column, data set, creating tables, average upper, origin column, passenger airbags, categorical variables, data frame, original table, minimum values, pipe, start, thing, variable, maximum
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Classroom Considerations

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