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README.md

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 # The Fjelstul World Cup Database
 
-The Fjelstul World Cup Database is a comprehensive database about the FIFA World Cup created by Joshua C. Fjelstul, Ph.D. that covers all `21` World Cup tournaments (1930-2018). An update with data on the 2022 World Cup in Qatar will be available soon. The database includes `27` datasets (approximately 1.1 million data points) that cover all aspects of the World Cup.
+The Fjelstul World Cup Database is a comprehensive database about the FIFA World Cup created by Joshua C. Fjelstul, Ph.D. that covers all `22` World Cup tournaments (1930-2022). The database includes `27` datasets (approximately 1.1 million data points) that cover all aspects of the World Cup.
 
 The database has been featured by [The Washington Post](https://www.washingtonpost.com/sports/2022/12/18/mbappe-messi-golden-boot-world-cup/), [FiveThirtyEight](https://fivethirtyeight.com/features/the-datasets-were-looking-at-this-week-10/), [The Markup](https://themarkup.org/data-is-plural/2022/07/20/voting-laws-u-s-budget-appropriations-and-the-world-cup), [Data is Plural](https://www.data-is-plural.com/archive/2022-07-20-edition/), [The Times](https://www.thetimes.co.uk/article/fifa-world-cup-history-statistics-goals-trophies-stadiums-teams-ptbt62xpq), [Agence France-Presse (AFP)](https://www.barrons.com/news/scorers-in-world-cup-football-01668769510), [Barron's](https://www.barrons.com/news/scorers-in-world-cup-football-01668769510), [Latinometrics](https://www.reddit.com/r/dataisbeautiful/comments/z9rt2b/oc_brazil_and_argentina_are_the_top_goalscorers/), [Hindustan Times](https://www.hindustantimes.com/static-content/10m/fifa-world-cup/the-race-for-goals/index.html), and [DataCamp](https://s3.amazonaws.com/assets.datacamp.com/email/other/Exploring+World+Cup+Data+in+Power+BI+(1).pdf).
 
 Users can use the database to calculate statistics about teams, players, managers, and referees. Users can also use the data to predict match results. With many units of analysis and opportunities for merging and reshaping data, the database is also an excellent resource for teaching data science skills.
 
+Here are some example visualizations that use the data:
+
+<div>
+ <img src="https://github.com/jfjelstul/worldcup/blob/master/visualizations/match-results.png?raw=true" width="90%">
+</div>
+<div>
+ <img src="https://github.com/jfjelstul/worldcup/blob/master/visualizations/goals-by-European-teams.png?raw=true" width="70%">
+</div>
+<div>
+ <img src="https://github.com/jfjelstul/worldcup/blob/master/visualizations/goals-by-South-American-teams.png?raw=true" width="70%">
+</div>
+
 ## Overview of the database
 
 The `27` datasets in the database are organized into `5` groups: