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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>Tidy data</title>
<meta charset="utf-8" />
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class: center, middle, inverse, title-slide
.title[
# Tidy data
]
.subtitle[
## <br><br> Bates College
]
.author[
###
]
---
## Tidy data
>Happy families are all alike; every unhappy family is unhappy in its own way.
>
>Leo Tolstoy
--
.pull-left[
**Characteristics of tidy data:**
- Each variable forms a column.
- Each observation forms a row.
- Each type of observational unit forms a table.
]
--
.pull-right[
**Characteristics of untidy data:**
!@#$%^&*()
]
---
##
.question[
What makes this data not tidy?
]
<img src="img/hyperwar-airplanes-on-hand.png" width="70%" style="display: block; margin: auto;" />
.footnote[
Source: [Army Air Forces Statistical Digest, WW II](https://www.ibiblio.org/hyperwar/AAF/StatDigest/aafsd-3.html)
]
---
.question[
What makes this data not tidy?
]
<br>
<img src="img/hiv-est-prevalence-15-49.png" width="70%" style="display: block; margin: auto;" />
.footnote[
Source: [Gapminder, Estimated HIV prevalence among 15-49 year olds](https://www.gapminder.org/data)
]
---
.question[
What makes this data not tidy?
]
<br>
<img src="img/us-general-economic-characteristic-acs-2017.png" width="85%" style="display: block; margin: auto;" />
.footnote[
Source: [US Census Fact Finder, General Economic Characteristics, ACS 2017](https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_17_5YR_DP03&src=pt)
]
---
## Displaying vs. summarising data
.panelset[
.panel[.panel-name[Output]
.pull-left[
```
## # A tibble: 87 × 3
## name height mass
## <chr> <int> <dbl>
## 1 Luke Skywalker 172 77
## 2 C-3PO 167 75
## 3 R2-D2 96 32
## 4 Darth Vader 202 136
## 5 Leia Organa 150 49
## 6 Owen Lars 178 120
## # ℹ 81 more rows
```
]
.pull-right[
```
## # A tibble: 3 × 2
## gender avg_ht
## <chr> <dbl>
## 1 feminine 167.
## 2 masculine 177.
## 3 <NA> 175
```
]
]
.panel[.panel-name[Code]
.pull-left[
``` r
starwars %>%
select(name, height, mass)
```
]
.pull-right[
``` r
starwars %>%
group_by(gender) %>%
summarize(
avg_ht = mean(height, na.rm = TRUE)
)
```
]
]
]
---
## Acknowledgements
* This course builds on the materials from [Data Science in a Box](https://datasciencebox.org/) developed by Mine Çetinkaya-Rundel and are adapted under the [Creative Commons Attribution Share Alike 4.0 International](https://github.com/rstudio-education/datascience-box/blob/master/LICENSE.md)
</textarea>
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