---
title: "joining"
author: "Ben Best"
date: '`r format(Sys.time(), "%Y-%m-%d %H:%M")`'
output: html_document
---

```{r setup, echo=F}
# NOTE: This chunk sets the default to eval=F for all following chunks.
#       Am just using this for instructions. Please exclude in your assignment to see all results.
knitr::opts_chunk$set(eval=F)
```

## Precursors

### RStudio Heroes

Last weekend at 1st annual [shinydevcon](https://www.rstudio.com/shinydevcon/). Left to right, @github (affiliation): 

- Winston Chang @wch (RStudio)
- Hadley Wickham @hadley (RStudio)
- Julie Lowndes @jules32 (OHI)
- Jamie Afflerbach @jafflerbach (OHI)
- Joe Cheng @jcheng5 (RStudio)
- Ben Best @bbest (OHI)
- Herman Strop @FrissAnalytics (FrissAnalytics)

![](./wk05_ggplot/img/rstudio_shinydevcon_wch-hadley-jcheng5-FrissAnalytics.JPG)

Brought some of these stickers for ya:

[![](./wk05_ggplot/img/rstudio_stickers.png)](https://www.rstudio.com/about/gear/)

### RStudio Shortcuts

- [rstudio-IDE-cheatsheet.pdf](./refs/cheatsheets/rstudio-IDE-cheatsheet.pdf)
    - Show Keyboard Shortcuts `?`: Alt+Shift+**K** (Win), Option+Shift+**K** (Mac)
    - (Un)Comment lines `# `: Ctrl+Shift+**C** (Win), Cmd+Shift+**C** (Mac)
    - Insert `%>%`: Ctrl+Shift+**M** (Win), Cmd+Shift+**M** (Mac)
    - Attempt completion: **Tab** or Ctrl+Space (Win), **Tab** or Cmd+Space (Mac), 
    - Knit Document: Ctrl+Shift+**K** (Win), Cmd+Shift+**K** (Mac)
    - Copy Lines Up/Down: Shift+Alt+**$\uparrow$**/**$\downarrow$** (Win), Cmd+Option+**$\uparrow$**/**$\downarrow$** (Mac)

### New Assignment Github Workflow

#### OLD

So far to turn in individual assignments, you've been editing `env-info/students/<user>.Rmd` and knitting to `env-info/students/<user>.html`. Then you push to your repo `<user>/env-info` before submitting to the course repo `ucsb-bren/env-info` with a push, and pull request. To update your `<user>/env-info` with the latest from `ucsb-bren/env-info`, you also need to do an additional pull request, merge, and pull. 

repo location | `<user>` permission | initialize <i class="fa fa-arrow-down"></i> | edit <i class="fa fa-arrow-up"></i> | update <i class="fa fa-arrow-down"></i>
-----------|:-----------:|:-----------:|:-----------:|:-----------:
<i class="fa fa-cloud"></i> `github.com/ucsb-bren/env-info` | read only |  | [**merge**](https://help.github.com/articles/merging-a-pull-request) <span class="octicon octicon-git-merge"></span> [BB]  | 
<i class="fa fa-cloud"></i> `github.com/<user>/env-info`    | read + write | [**fork**](https://help.github.com/articles/fork-a-repo) <span class="octicon octicon-repo-forked"></span> | [**pull request**](https://help.github.com/articles/creating-a-pull-request/) <span class="octicon octicon-git-pull-request"></span> | [**pull request**](https://help.github.com/articles/creating-a-pull-request/) <span class="octicon octicon-git-pull-request"></span>, [**merge**](https://help.github.com/articles/merging-a-pull-request) <span class="octicon octicon-git-merge"></span>
<i class="fa fa-desktop"></i> `~/localdir/<user>.github.io` | read + write | [**clone**](https://help.github.com/articles/fetching-a-remote) <span class="octicon octicon-desktop-download"></span> | [**commit**](http://git-scm.com/docs/git-commit) <span class="octicon octicon-git-commit"></span>,  [**push**](https://help.github.com/articles/pushing-to-a-remote/) <span class="octicon octicon-cloud-upload"></span> | [**pull**](https://help.github.com/articles/fetching-a-remote/#pull) <span class="octicon octicon-cloud-download"></span>

#### NEW

For future assignments, you'll use a much simpler Github workflow with less possibilities for [merge conflicts](http://r-pkgs.had.co.nz/git.html#git-pull):

repo location | `<user>` permission | initialize <i class="fa fa-arrow-down"></i> | edit <i class="fa fa-arrow-up"></i> | update <i class="fa fa-arrow-down"></i>
-----------|:-----------:|:-----------:|:-----------:|:-----------:
<i class="fa fa-cloud"></i> `github.com/<user>/<user>.github.io` | read + write | [**create**](https://help.github.com/articles/create-a-repo/) <span class="octicon octicon-plus"></span> |   |
<i class="fa fa-desktop"></i> `~/localdir/<user>.github.io`      | read + write | [**clone**](https://help.github.com/articles/fetching-a-remote) <span class="octicon octicon-desktop-download"></span> | [**commit**](http://git-scm.com/docs/git-commit) <span class="octicon octicon-git-commit"></span>,  [**push**](https://help.github.com/articles/pushing-to-a-remote/) <span class="octicon octicon-cloud-upload"></span> | [**pull**](https://help.github.com/articles/fetching-a-remote/#pull) <span class="octicon octicon-cloud-download"></span>

Similar to your class group project repo `<org>/<org>.github.io` which serves a web site at `http://<org>.github.io`, you want to initialize:

1. [Create a repository](https://help.github.com/articles/create-a-repo/) `<user>/<user>.github.io` where you'll replace `<user>` with your Github username (eg I created a repository `bbest.github.io` in which `bbest` is the owner). If you already have this repository created, you can simply move on. Otherwise, please also tick the box to initialize this repository with a README.

1. Go to <span class="octicon octicon-gear"></span> Settings, Collaborators and add `bbest` and `naomitague` as collaborators. This will give us write permissions on your repository, enabling us to more easily help you fix code.

1. Run the equivalent of `git clone http://github.com/<user>/<user>.github.io` from RStudio menu File, New Project…, Version Control, Git. 

1. Create a new folder `env-info_hw` inside your local repository `<user>.github.io`.

It is important that you use the exact spelling for all of the above. Otherwise, we won't be able to find your homework.

### Individual Assignment `wk05_ggplot`

Now, for every week's assignment you'll create a new Rmarkdown file inside the `env-info_hw` folder of your `<user>.github.io` repo. This week create one called `wk05_ggplot.Rmd` with File, New File..., R Markdown...

We'll be able to grade assignments, because we have a roster of students by Github username, and so presume we'll find your assignment by visiting `http://<user>.github.io/env-info_hw/wk05_ggplot.html`, eg `http://bbest.github.io/env-info_hw/wk05_ggplot.html`. 

Again, it is important that you use the exact spelling above. Otherwise, we won't be able to find your homework.

## joining data

For this portion of the individual assignment, similar to last week, you'll find it easiest to copy and paste from `## joining data` onwards in  [`env-info/wk05_joining.Rmd`](https://raw.githubusercontent.com/ucsb-bren/env-info/gh-pages/wk05_joining.Rmd) to your `<user>.github.io/env-info_hw/wk05_ggplot.Rmd`. Then you can play with different chunks of the code. Please be sure to answer all tasks and questions at the bottom.

The R chunks explaining the `dplyr` join functions below are pulled from the excellent [**wrangling-webinar.pdf**](wk03_dplyr/wrangling-webinar.pdf) presentation, which you should consult as you execute (see shortcuts in [rstudio-IDE-cheatsheet.pdf](refs/cheatsheets/rstudio-IDE-cheatsheet.pdf)). 

### setup

Ensure that you're in the same working directory `env-info_hw` when you Knit HTML as when you test code in the Console.

```{r setwd students}
wd = 'env-info_hw'

# set working directory for Console (vs Rmd)
if (wd %in% list.files() & interactive()){
    setwd(wd)
}

# ensure working directory
if (basename(getwd()) != wd){
  stop(sprintf("WHOAH! Your working directory is not in '%s'!\n   getwd(): %s", wd, getwd()))
}
```

### `bind_cols`

bind columns between data frames

```{r bind_cols}
library(readr)
library(dplyr)

y = read_csv(
'x1,x2
A,1
B,2
C,3')
z = read_csv(
'x1,x2
B,2
C,3
D,4')
y
z
bind_cols(y, z)
```

### `bind_rows`

bind rows of data frames

```{r bind_rows}
y
z
bind_rows(y, z)
```

### `union`

set operation on data frames, returning all unique rows

```{r union}
y
z
union(y, z)
```

### `intersect`

set operation on data frames, returning those rows in common

```{r intersect}
y
z
intersect(y, z)
```

### `setdiff`

set operation on data frames, returning all mismatched rows

```{r setdiff}
y
z
setdiff(y, z)
```

### `left_join`

return all rows from x, and all columns from x and y. Rows in x with no match in y will have NA values in the new columns.

```{r left_join}
artists = read_csv(
'name,plays
George,sitar
John,guitar
Paul,bass
Ringo,drums')
songs = read_csv(
'song,name
Across the Universe,John
Come Together,John
"Hello, Goodbye",Paul
Peggy Sue,Buddy')
artists
songs
left_join(songs, artists, by='name')
```

### `inner_join`

return all rows from x where there are matching values in y, and all columns from x and y

```{r inner_join}
inner_join(songs, artists, by = "name")
```

### `semi_join`

return all rows from x where there are matching values in y, keeping just columns from x

```{r semi_join}
semi_join(songs, artists, by = "name")
```

### `anti_join`

return all rows from x where there are not matching values in y, keeping just columns from x

```{r anti_join}
anti_join(songs, artists, by = "name")
```

### per capita CO<sub>2</sub> emissions 

You'll join the [population](http://data.okfn.org/data/core/population) dataset to calculate per capita CO<sub>2</sub> emissions.

_**Task**. Calculate the per capita emissions by country (not World or EU28) and return the top 5 emitting countries for **2014**._

_**Task**. Summarize the per capita emissions by country (not World or EU28) as the **mean** (ie average)  value across all years and return the top 5 emitting countries._ 


```{r bbest, echo=F, eval=F}
# setwd('~/github/bbest.github.io/env-info_hw')
```

```{r read co2 & popn, eval=T}
suppressPackageStartupMessages({
  library(readr)
  library(readxl) # install.packages('readxl')
  library(dplyr)
  library(tidyr)
  library(httr)   # install.packages('httr')
})

# co2 Excel file
url = 'http://edgar.jrc.ec.europa.eu/news_docs/CO2_1970-2014_dataset_of_CO2_report_2015.xls'
xls = 'co2_europa.xls'
if (!file.exists(xls)) writeBin(content(GET(url), 'raw'), xls)

# read in carbon dioxide emissions file
co2 = read_excel(xls, skip=12) %>%
  gather(year, ktons_co2, -Country) %>%
  filter(!Country %in% c('World','EU28') & !is.na(Country)) %>%
  mutate(year = as.integer(as.character(year))) %>%
  rename(country=Country)
co2

# read in population
popn = read_csv('https://raw.githubusercontent.com/datasets/population/master/data/population.csv') %>%
  select(country=`Country Name`, year=Year, popn=Value) 
popn
```

In order to calculate per capita emissions, you'll need to join the `popn` data frame with the `co2` data frame before calculating something like `ktons_co2 / popn`.

One of the trickiest parts about joining data is ensuring that values in the key columns are matching. The column `year` is a simple 4 digit integer in both tables (after converting to `as.integer()` for the gathered `co2`). But what about `country`?

Let's look at just `year==2014` to see what values of `country` in table `co2` are not found in table `popn`, ie `anti_join()`:

```{r co2$popn not in popn$country, eval=T}
# co2$popn not in popn$country
co2 %>%
  filter(year==2014) %>%
  anti_join(
    popn %>%
      filter(year==2014),
    by='country') %>%
  arrange(desc(ktons_co2))
```

Whoah, we're missing 47 "countries", including the "United States of America"! So what is "United States of America" called in  `popn$country`?

```{r popn$country not in co2$popn, eval=T}
# popn$country not in co2$popn
popn %>%
  filter(year==2014) %>%
  anti_join(
    co2 %>%
      filter(year==2014),
    by='country') %>%
  arrange(desc(country))
```

Ok, so in `popn$country` we have "United States" which doesn't get matched with "United States of America" in `co2$country`? How to fix this? We need a lookup table for translating country values between tables. I went ahead and made one for you by copying the two anti_join tables above and matching rows where possible.

```{r cntry, eval=T}
# get lookup table to translate popn$country to co2$country
cntry = read_csv('https://raw.githubusercontent.com/ucsb-bren/env-info/gh-pages/data/co2_country_to_popn.csv')
cntry
```

So before we join the tables `co2` and `popn`, first translate country in one to match the other.

```{r update co2$country to popn$country, eval=T}
# update co2$country to popn$country
co2_m = co2 %>%
  left_join(
    cntry, 
    # note use of named vector to columns with different names
    by = c('country'='country_co2')) %>%    
  mutate(
    # note use of ifelse to upated country with popn$country_popn
    country = ifelse(!is.na(country_popn), country_popn, country))

# check that "United States of America" changed to "United States"
co2_m %>%
  filter(year==2014) %>%
  arrange(desc(country)) %>%
  head(15)
```

Ok, so `co2_m$country` got updated with values to match `popn$country`, eg "United States of America" to "United States".

Please use this matching `co2_m` to join with `popn` and calculate per capita emissions.