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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>Sharing session #22:</title>
<meta charset="utf-8" />
<meta name="author" content="Arif P. Sulistiono" />
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class: center, middle, inverse, title-slide
.title[
# Sharing session #22:
]
.subtitle[
## Analysing Fantasy Premier League data in R
]
.author[
### Arif P. Sulistiono
]
.date[
### <br>Tuesday, 4 August 2022<br> <a href="https://www.instagram.com/mof.dac"> <i class="fa fa-instagram fa-fw"></i>mof.dac</a>
]
---
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}</style>
# About me
.center[
An employee of the Republic of Indonesia’s Ministry of Finance. Funded by the Indonesia Endowment Fund for Education ("Lembaga Pengelola Dana Pendidikan"), at the moment, on study leave to join a PhD program in the <a href="https://www.nottingham.ac.uk/economics/people/arif.sulistiono">School of Economics, the University of Nottingham</a> with research interests in Indonesia's government bonds market and their bondholders' behaviour. Also a research assistant at <a href="https://www.tracktheeconomy.ac.uk/arif-sulistiono">tracktheeconomy.ac.uk</a>. <br> <br>
<a href="mailto:ap.sulistiono@gmail.com"><i class="fa fa-envelope fa-fw"></i></a></a> <a href="https://www.facebook.com/arifpras"> <i class="fa fa-facebook fa-fw"></i></a> <a href="https://github.com/arifpras"><i class="fa fa-github fa-fw"></i></a> <a href="https://www.instagram.com/arifpras"> <i class="fa fa-instagram fa-fw"></i></a> <a href="https://arifpras.medium.com/"> <i class="fa fa-medium fa-fw"></i></a> <a href="https://twitter.com/arifpras"> <i class="fa fa-twitter fa-fw"></i></a> <a href="https://arifpras.com"> <i class="fa fa-wordpress fa-fw"></i></a>
]
---
# Limitations
.panelset[
.panel[.panel-name[1: Data availability]
* Historical statistics from previous seasons: 2020/2021 and 2021/2022
* Not included:
+ Pre-season matches
+ New players (i.e., Erling Haaland, Ivan Perišić, Kalidou Koulibaly, etc.)
+ New teams (i.e., Fulham, Bournemouth, Nottingham Forest)
]
.panel[.panel-name[2: Specifications]
* Software: RStudio 2022.07.1+554 "Spotted Wakerobin" Release for macOS
+ Alternative: Atom 1.60.0 x64
* Hardware: MBP 2020, chip M1, memory 16 GB.
+ Alternative: Cloud Computing Services - Amazon Web Services (AWS)
+ Multiple choices, depends on the price.
]
]
.left[.footnote[.small[Source: https://www.rstudio.com/products/rstudio/download/; https://ec2instances.github.io/]]]
---
# Today's session
* Web scrapping
+ library: dplyr, jsonlite, rvest
+ functions: read_csv(), fromJSON(), read_html()
* Data wrangling
+ library: dplyr
+ functions: mutate(), left_join(), right_join(), rename(), group_by() and ungroup(), select(), bind_rows(), etc.
* Data visualisation
+ library: ggplot2, tidyr, viridis, ggrepel, ggsoccer
+ functions: geom_col(), reorder_within(), scale_fill_manual(), scale_fill_viridis, etc.
* Basic statistics
+ library: dplyr, corrr
+ library: mean(), sum(), correlate(), combn(), choose(), etc.
---
# Previous lessons: Data Wrangling and Visualisation
<iframe src="https://arifpras.github.io/WranglingViz/" width="100%" height="400px" data-external="1"></iframe>
.left[.footnote[.small[Source: https://arifpras.github.io/WranglingViz/]]]
---
# Previous lessons: Basic Modelling
<iframe src="https://arifpras.github.io/BasicModelling/" width="100%" height="400px" data-external="1"></iframe>
.left[.footnote[.small[Source: https://arifpras.github.io/BasicModelling/]]]
---
# General rules
* Budget constraints = £100.0 for 15 players
+ 2 goalkeepers
+ 5 defenders
+ 5 midfielders
+ 3 forwards
* Chips
+ Bench boost: once a season, bench players' points included in the total points.
+ Free hit: once a season, unlimited transfers for a single Gameweek.
+ Triple captain: once a season, tripled the captain's points instead of doubled.
+ Wild card: twice a season, Gameweek 1 to 16 and Gameweek 17 to 38.
* Gameweek 1 deadline: Friday, 5 Aug 18:30 BST
* Total managers (as of 3 August 2022): 5,592,326 managers
---
# Initial budgeting plan and data sources
## Allocating the budget
* Goalkeepers: £9.0 for 2 players.
* Outfield players: £91.0 for 13 players.
+ Defenders: £35.0 for 5 players.
+ Midfielders: £35.0 for 5 players.
+ Forwards: £21.0 for 3 players.
* Left £0.00 in the bank (less flexibility)
## Data sources:
* vaastav's Github: https://github.com/vaastav/Fantasy-Premier-League/
* FPL data set: https://fantasy.premierleague.com/api/bootstrap-static/
* Fixtures: https://fixturedownload.com/results/epl-2022
---
# Another consideration
<iframe src="https://pbs.twimg.com/media/FZHCGpIWQAE2DeV?format=jpg" width="100%" height="400px" data-external="1"></iframe>
.left[.footnote[.small[Source: https://twitter.com/HollyShand/status/1554523674140495872]]]
---
class: center, inverse, middle
.center[
]
.large[<span style="color:orange"> Let's practice! </span>]
<br>
.small[open "BelutListik.qmd" in RStudio]
---
# Disclaimers
* Based on the previous seasons' statistics.
+ Re-run the codes after several matches in the next season.
+ The data set needs to be updated frequently (i.e., every two Gameweeks).
* The Summer 2022 Transfer Window for Premier League clubs will close at 23:00 BST on 1 September 2022.
+ A possible move of Mark Cucurella (BHA, £5.0) to Chelsea.
* Limitations in the computer memory make the analysis could not cover all possible choices: Use a higher specifications (memory >60 GB).
* World Cup 2022: Including players involved in the competition or not?
* Belut Listrik's statistics in the last season:
+ Overall points: 2,414
+ Overall rank: 272,435 of 9,167,407 teams
---
class: center, inverse, middle
.large[
<span style="color:orange"> **Invite me to your mini league, maybe?** </span>
]
**or you could join**
@standupindo_kemenkeu X @ajikpurnomoputro: <span style="color:white">**hwf84k**</span>
---
class: center, middle, clear
.center[
]
.large[
Thank you for listening.
]
.small[**All teaching materials will be available on https://github.com/arifpras/BelutListrik**]
.small[
Slides created via the R packages:
[**xaringan**](https://github.com/yihui/xaringan) and
[gadenbuie/xaringanthemer](https://github.com/gadenbuie/xaringanthemer). <br>
The chakra comes from [remark.js](https://remarkjs.com), [**knitr**](http://yihui.name/knitr), and [R Markdown](https://rmarkdown.rstudio.com).
]
---
# Acknowledgements
* Grolemund, G., & Wickham, H. (2017). R for Data Science. O’Reilly Media.
* R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/
* Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686
* Claus O. Wilke: Data Visualization in R, https://wilkelab.org/SDS375/
* Cedric Scherer's personal blog: https://www.cedricscherer.com/
* ...and other sources i.e. stackoverflow.com, github.com, etc.
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