IPL(Cricket League) Dataset For Beginner Analaysis

Indian Premier League Popularly known as IPL is one of the most popular league in the world. Every year it is spectated by billions of cricket fans from around the world. The league has Indian and foreign players where newbies get their first taste of what it's like to play against international player. Due to it's popularity it attracts many bigshot companies and business men to make an investment in the playing teams. The team names are associated with regions and the league is usually played around India in various stadiums

The following data sets consists of the IPL data from the year 2008-2019 .A total of 764 matches have been played
A point to note is that few of the teams have either dropped out or changed their team name over the years .So it's important to do some fact check
| Columns | Description |
| Team1 | Team #1 playing the match|
| Team2 | Team #2 playing the match |
| Date | The day on which the match was played |
| Year | The year the match was played |
| Time | The matches are usually played in 2 slots, afternoon and
evening this gives the time when the match was started |
| Place | Contains the city and the stadium the match was played in |
| Toss | Contains name of the team that won the toss |
| TossDecision | Gives details on what was the decision of the team
winning the toss |
| Result | Contains result of the match|
|Tied | Contains information of the tie|
| won_runs | Contains information about the winning team that batted first |
| won_wickets | Contains information about the winning team that
bowled first |

The dataset was web scraped from cricbuzz.com using python.The website contains detailed information of all the cricket matches

Things to explore

1. Common traits in the data
2. Which team won the most number of matches?
3. Which team played most number of games?
4. How does winning the toss affect the game result?
5. Use the data to predict future ipl matches