football_analytics VS worldcup

Compare football_analytics vs worldcup and see what are their differences.

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. (by eddwebster)
WorkOS - The modern identity platform for B2B SaaS
The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
workos.com
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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football_analytics worldcup
5 6
1,715 168
- -
7.2 6.5
17 days ago 10 months ago
Jupyter Notebook HTML
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football_analytics

Posts with mentions or reviews of football_analytics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-18.

worldcup

Posts with mentions or reviews of worldcup. We have used some of these posts to build our list of alternatives and similar projects.
  • Generate Data Warehouse
    1 project | /r/dataengineering | 7 Apr 2023
    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
    1 project | /r/worldcup | 24 Mar 2023
  • [OC] Brazil and Argentina are the top goal-scorers in World Cup history.
    1 project | /r/dataisbeautiful | 1 Dec 2022
    Source: Fjelstul World Cup Database
  • Ask about Day 5 of #25daysofDAXFridays
    1 project | /r/curbal | 7 Oct 2022
  • Announcing the 25 days of DAX Fridays! second edition!
    1 project | /r/curbal | 4 Oct 2022
    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"
  • Ask about Day 1 of #25daysofDAXFridays
    1 project | /r/curbal | 4 Oct 2022
    = Csv.Document(Web.Contents("https://github.com/jfjelstul/worldcup/blob/master/data-csv/award_winners.csv"),[Delimiter=",", Encoding=65001, QuoteStyle=QuoteStyle.None])

What are some alternatives?

When comparing football_analytics and worldcup you can also consider the following projects:

open-data - Free football data from StatsBomb

qcoder - Lightweight package to do qualitative coding

project - Predict how many points an European football team will end the season with, according to the characteristics of its players. Project for the Big Data Computing course at Sapienza University of Rome (2021-22)

sofifa-web-scraper - It has over 18k detailed players info and stats from EA FC 24 scrapped from SoFIFA.com.

understatr - fetch understat data

sports-analytics - Data collection, processing, visualization, modeling, and ideation in the space of sports analytics

soccerdata - ⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.

EA-FC-24-Automated-SBC-Solving - EA FC 24 Automated SBC Solving using Integer Programming ⚽

opendata - SkillCorner Open Data with 9 matches of broadcast tracking data.

socceraction - Convert soccer event stream data to SPADL and value player actions using VAEP or xT

football-crunching - Analysis and datasets about football (soccer)