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Animating Data Transformations III – separate()

January 23, 2019
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Animating Data Transformations III – separate()

We recently have published two blogs on animating data transformations. The first, Animating Data Transformations, illustrated the spread() and gather() functions for going between wide and tall representations of data. The second, Animating Data Transformations II, covered the unnest() function for transforming a list column into a one value per row format. Today, we’re going to… Read More → The post Animating...

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Animating Data Transformations: Part II

January 9, 2019
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Animating Data Transformations: Part II

In our previous series on Animating Data Transformations, we showed you how to use gganimate to construct an animation which illustrates the process of going between tall and wide representations of data. Today, we will show the same procedure for constructing an animation of the unnest() function. The unnest() function takes a tibble containing a… Read More → The post Animating...

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Animating Data Transformations

August 30, 2018
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Animating Data Transformations

A common statistical procedure is to convert a tall dataset into a wide one, or visa versa. A tall, or “tidy” format, meets the following criteria (See https://cran.r-project.org/web/packages/tidyr/vignettes/tidy-data.html for more information): Each variable forms a column. Each observation forms a row. Each type of observational unit forms a table. In this blogpost, we will outline… Read More → The post Animating...

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Analyzing Unique Ingredients in World Cuisines

March 15, 2018
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Analyzing Unique Ingredients in World Cuisines

Cross-posted with permission from Omni Analytics Innovative Technologies Initiative (OAITI) Certain ingredients are often staples of particular world cuisines. The use of hard cheeses in Italian cooking, and the use of masalas in Indian cooking are two particularly well-known examples. We sought out to discover what ingredients are most uniquely associated with other various cuisines.… Read More → The post Analyzing...

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