worldcup
A Comprehensive Database on the FIFA World Cup (Men's and Women's) (by jfjelstul)
englishfootball
A Comprehensive Database on the Premier League and the English Football League (1888-2022) (by jfjelstul)
worldcup | englishfootball | |
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6 | 1 | |
169 | 51 | |
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6.5 | 10.0 | |
10 months ago | over 1 year ago | |
HTML | TeX | |
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
worldcup
Posts with mentions or reviews of worldcup.
We have used some of these posts to build our list of alternatives
and similar projects.
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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])
englishfootball
Posts with mentions or reviews of englishfootball.
We have used some of these posts to build our list of alternatives
and similar projects.
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The Impact of Harry Kane and Heung-Min Son on Tottenham Hotspur's Success in the Premier League
The Fjelstul English Football Database: https://github.com/jfjelstul/englishfootball
What are some alternatives?
When comparing worldcup and englishfootball you can also consider the following projects:
qcoder - Lightweight package to do qualitative coding
rnpn - R client for the National Phenology Network database API
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.
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
sofifa-web-scraper - It has over 18k detailed players info and stats from EA FC 24 scrapped from SoFIFA.com.