This document discusses the history and analysis of the FIFA World Cup. It provides background on FIFA, the organization that founded and oversees the World Cup. The tournament has been held every four years since the first in 1930 and involves national teams from around the world competing over a month to be crowned champion. The document also describes using data visualization tools like bar charts, line charts and maps to analyze trends in team and player statistics throughout World Cup history.

1. Topic:
FIFA WORLD CUP

2. CONTENT
❖INTRODUCTION
❖HISTORY OF FIFA
❖ANALYSIS
❖VISULIZATION
❖CONCLUSION
❖REFERENCE

3. INTRODUCTION
 Full from of FIFA: is federation international de football association
 The championship has been awarded every four years
 There are held within six FIFA contently zones(Africa , Asia , north & central America and
Caribbean , south America , ocean & Europe
 De qualification process can start almost three year before the final tournament and last
over a two year period
 The final tournament has been used since 1998 and feature 32 national teams competing
over the courses of a month in host nation. There are two stage – the group stage
followed by the knockout stage
 The first president of FIFA was Robert Guerin

4. HISTORY OF FIFA
 The first president FIFA was Robert Guerin
 founded in pairs, French on may 21, 1904
 1908 summer Olympics in London football become an official competition
 In 1914 FIFA agreed Olympics tournament as a “world football championship for
armatures
 at the 1920 summer Olympic contested by Egypt and 13 European teams and won by
belgium. Uruguay won the next two Olympic football tournament 1924 & 1928

5. ANALYSIS
➢ Import libraries
IN[1] import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
import numpy as np

6. Reading the data
 In[2]: df= pd.read_csv('WorldCupMatches.csv')
 In[3]: df2=pd.read_csv('WorldCupPlayers.csv')
 In[4]: df3=pd.read_csv('WorldCups.csv’)

7. A quick overview
 In(1) Df
Out(1)

8. A quick overview
 In[2]: df2
Out(2)

9. A quick overview
 In[3]: df3
Out[3]

10. VISULIZATION
 Bar Charts: Bar charts can be used to display statistics such as goals scored, assists, yellow cards,
or red cards for individual players or teams. They provide a visual comparison between different
players or teams.
 Line Charts: Line charts are useful for visualizing trends over time, such as the number of goals
scored by a team in each match or the progression of a team's performance throughout the
tournament.
 Pie Charts: Pie charts can be used to represent the distribution of goals, possession, or other
statistics among teams or players. They show the relative proportions of different categories
within a dataset.
 Geographic Maps: Maps can be used to display various geographical aspects of the World Cup,
such as the locations of host cities, stadiums, or the countries participating in the tournament.

11. CONCLUSION
 the FIFA World Cup is a highly anticipated international soccer tournament that captivates a
global audience. The analysis of the tournament involves evaluating team performances, player
statistics, tactical strategies, and historical trends. By considering factors such as team form,
playing styles, head-to-head records, and individual player strength, analysts can predict
outcomes and identify potential winners. Statistical measures and data analysis provide insights
into team and player performance, while external factors like weather conditions, home-field
advantage, and psychological aspects add further complexity to the analysis. The FIFA World Cup
analysis aims to provide a comprehensive understanding of the tournament and its outcomes,
contributing to the excitement and discussions surrounding this prestigious sporting event.

12. REFERENCE
 https://www.fifa.com/
 https://en.wikipedia.org/wiki/FIFA_World_Cup