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‎communicate.Rmd

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title: Communicate your work
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# Communicate your work
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Reproducible, literate code is the data science equivalent of the Scientific Report (i.e, Intro, Methods and materials, Results, Discussion).

‎contribute.rmd

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title: Contributing
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# Contributing
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This book has been developed in the open, and it wouldn't be nearly as good

‎data-structures.Rmd

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title: Data structures
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# Data structures
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Might be quite brief.

‎databases.Rmd

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title: Databases
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# Databases
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### Two-table verbs

‎datetimes.Rmd

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title: Dates and times
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# Dates and times
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If you have trouble remembering these abbreviations, check out the [strptimer package](https://cran.r-project.org/web/packages/strptimer/vignettes/strptimer.html).

‎functions.Rmd

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title: Expressing yourself in code
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# Expressing yourself in code
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```{r, include = FALSE}

‎import.Rmd

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title: Data import
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# Data import
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```{r, include = FALSE}

‎index.rmd

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---
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title: Welcome
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knit: "bookdown::render_book"
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output:
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bookdown::html_chapters:

‎intro.Rmd

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title: Introduction
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# Introduction
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```{r setup-intro, include = FALSE}

‎lists.Rmd

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title: Lists
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# Lists
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```{r setup-lists, include=FALSE}

‎model-assess.Rmd

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title: Model assessment
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# Model assessment
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```{r setup-model, include=FALSE}

‎model-vis.Rmd

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title: Model visualisation
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# Model visualisation
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Gap minder

‎model.Rmd

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title: Model
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# Model
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A model is a function that summarizes how the values of one variable vary in response to the values of other variables. Models play a large role in hypothesis testing and prediction, but for the moment you should think of models just like you think of statistics. A statistic summarizes a *distribution* in a way that is easy to understand; and a model summarizes *covariation* in a way that is easy to understand. In other words, a model is just another way to describe data.

‎program.Rmd

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title: Save time by programming
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# Programming
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Computer-human communication matters.

‎relational-data.Rmd

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title: Relational data
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# Relational data {#relation-data}
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```{r setup-relation, include = FALSE}

‎rmarkdown.Rmd

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title: R Markdown
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# R Markdown
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Recommendations for learning more about communication:

‎robust-code.Rmd

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title: Robust code
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```{r, include = FALSE}
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library(magrittr)
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```

‎science.Rmd

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title: Do science with data
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# Do science with data
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The scientific method guides data science. Data science solves known problems with the scientific method.

‎shiny.Rmd

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title: Shiny
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# Shiny

‎strings.Rmd

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title: Strings
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# Strings
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```{r setup-strings, include = FALSE}

‎tidy.Rmd

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title: Tidy data
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# Tidy data
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> "Tidy datasets are all alike but every messy dataset is messy in its

‎transform.Rmd

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title: Transform
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# Data transformation {#transform}
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```{r setup-transform, include = FALSE}

‎understand.Rmd

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title: Understand your data
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# Understand your data
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Data poses a cognitive problem; Data comprehension is a skill.

‎variation.Rmd

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title: Variation
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# Variation
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```{r, include = FALSE}

‎visualize.Rmd

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title: Visualize
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# Data visualisation
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```{r setup-visualise, include = FALSE}

‎work.Rmd

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title: Work with your data
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# Work with your data
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With data, the relationships between values matter as much as the values themselves. Tidy data encodes those relationships.

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