worldcup
trackdown
worldcup | trackdown | |
---|---|---|
6 | 2 | |
169 | 211 | |
- | - | |
6.5 | 4.8 | |
10 months ago | 12 months ago | |
HTML | HTML | |
- | GNU General Public License v3.0 only |
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worldcup
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Generate Data Warehouse
Hi guys, I have a school project for building a Data warehouse using an open-source dataset. I currently dive into one dataset which is The Fjelstul World Cup Database (Github: https://github.com/jfjelstul/worldcup). This dataset has multiple tables which combine a variety of properties. It's hard to figure out the whole following process to build a Dataware house from scratch. I just get some ideas and make out a sample of this. Can you guys help me examine that? What are the best ways to build Fact and Dimension tables from this generous dataset? What properties and table I should put in that case?
- Where to find database of World Cup penalty statistics? Including penalties awarded and the score line of when this happened
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[OC] Brazil and Argentina are the top goal-scorers in World Cup history.
Source: Fjelstul World Cup Database
- Ask about Day 5 of #25daysofDAXFridays
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Announcing the 25 days of DAX Fridays! second edition!
let Source = Web.BrowserContents("https://github.com/jfjelstul/worldcup/tree/master/data-csv"), #"Extracted Table From Html" = Html.Table( Source, {{"FileName", ".js-navigation-open.Link\-\-primary"}}, [RowSelector = ".Box-row + *"] ), fxCSVs = (FileName as text) as table => let Source = Csv.Document( Web.Contents( "https://raw.githubusercontent.com/jfjelstul/worldcup/master/data-csv/" & FileName ), [Delimiter = ",", Encoding = 65001, QuoteStyle = QuoteStyle.None] ), #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars = true]) in #"Promoted Headers", #"Invoked Custom Function" = Table.AddColumn( #"Extracted Table From Html", "CSV_Data", each fxCSVs([FileName]) ) in #"Invoked Custom Function"
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Ask about Day 1 of #25daysofDAXFridays
= Csv.Document(Web.Contents("https://github.com/jfjelstul/worldcup/blob/master/data-csv/award_winners.csv"),[Delimiter=",", Encoding=65001, QuoteStyle=QuoteStyle.None])
trackdown
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Any place to do collaboratie writing in the new quarto format? if not, what's the best place/way to do it in rmarkdown you think?
Perhaps the trackdown package: https://github.com/claudiozandonella/trackdown
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RMarkdown and collaborating with Word
https://github.com/ClaudioZandonella/trackdown https://www.gerkelab.com/blog/2021/04/netlifycms-rmd-ghpages/ https://jksserver.shinyapps.io/shiny_markdown_organiser/ https://danovando.github.io/publications-with-rmarkdown/presentations/pubs-with-rmarkdown#46 https://info201.github.io/git-collaboration.html https://www.youtube.com/watch?v=hXhLGzn6S60
What are some alternatives?
qcoder - Lightweight package to do qualitative coding
football_analytics - 📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny
sofifa-web-scraper - It has over 18k detailed players info and stats from EA FC 24 scrapped from SoFIFA.com.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
targets - Function-oriented Make-like declarative workflows for R
drat - Drat R Archive Template
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
targets-tutorial - Short course on the targets R package
WeightedTreemaps - Create Voronoi and Sunburst Treemaps from Hierarchical data