Data Import and Export

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# Data Import and Export
### <br><br>Thiyanga S. Talagala, University of Sri Jayewardenepura
### IASSL - Feb 21/25, 2022 <br> Slides: <a href="https://r4fun.netlify.app/">https://r4fun.netlify.app/</a>

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## Packages

```r
library(tidyverse)
```

```
── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──
```

```
✓ ggplot2 3.3.5          ✓ purrr   0.3.4     
✓ tibble  3.1.6          ✓ dplyr   1.0.8.9000
✓ tidyr   1.2.0          ✓ stringr 1.4.0     
✓ readr   2.1.2          ✓ forcats 0.5.1     
```

```
Warning: package 'tidyr' was built under R version 4.1.2
```

```
Warning: package 'readr' was built under R version 4.1.2
```

```
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
x dplyr::filter() masks stats::filter()
x dplyr::lag()    masks stats::lag()
```

```r
library(here) # output the current path
```

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background-image:url('readr.png')
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# Import data

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background-image: url('csv1.png')
background-size: contain

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background-image: url('csv2.png')
background-size: contain

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background-image: url('csv3.png')
background-size: contain

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background-image: url('csv4.png')
background-size: contain

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background-image: url('csv5.png')
background-size: contain

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# Export data

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background-image: url('csv6.png')
background-size: contain

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background-image: url('csv7.png')
background-size: contain

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background-image: url('csv8.png')
background-size: contain

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# Recap

✅  Export data

✅  Import data
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