# Load the CSV df = pd.read_csv('worldcup_appearances.csv')
# Basic statistics print(df.describe())
"Player","Nationality","Position","World Cup Year","Matches Played","Goals","Assists" "John Doe","USA","Midfielder","2018",5,0,1 "Jane Smith","Canada","Forward","2019",4,2,0 "Player X","Brazil","Defender","2022",7,0,0 To analyze this data, you might use tools like pandas in Python for data manipulation and matplotlib or seaborn for visualization. Here's a simple example:
import pandas as pd
# Load the CSV df = pd.read_csv('worldcup_appearances.csv')
# Basic statistics print(df.describe())
"Player","Nationality","Position","World Cup Year","Matches Played","Goals","Assists" "John Doe","USA","Midfielder","2018",5,0,1 "Jane Smith","Canada","Forward","2019",4,2,0 "Player X","Brazil","Defender","2022",7,0,0 To analyze this data, you might use tools like pandas in Python for data manipulation and matplotlib or seaborn for visualization. Here's a simple example: jfjelstul worldcup data-csv appearances csv
import pandas as pd