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ipl-analysis's Issues

Analysis on Extra Runs.

I would like to create a script for detailed analysis on extra runs by teams as well as individual bowlers.

Death Over Analysis

Death overs are the overs b/w 16-20th over.

Do the following tasks:
(1)(a) Batsmen with most runs in death overs in whole IPL.
(1)(b) Batsmen with most runs in death overs batting first in whole IPL.
(1)(c) Batsmen with most runs in death overs batting second in whole IPL.

(2)(a) Batsmen with most runs in death overs in each season.
(2)(b) Batsmen with most runs in death overs batting first in each season.
(2)(c) Batsmen with most runs in death overs batting second in each season.

(3)(a) Batsmen with best StrikeRate in death overs in whole IPL.
(3)(b) Batsmen with best StrikeRate in death overs batting first in whole IPL.
(3)(c) Batsmen with best StrikeRate in death overs batting second in whole IPL.

(4)(a) Batsmen with best StrikeRate in death overs in each season.
(4)(b) Batsmen with best StrikeRate in death overs batting first in each season.
(4)(c) Batsmen with best StrikeRate in death overs batting second in each season.

(5)(a) Bowlers with Most Wickets in death overs in whole IPL.
(5)(b) Bowlers with Most Wickets in death overs bowling first in whole IPL.
(5)(c) Bowlers with Most Wickets in death overs bowling second in whole IPL.

(6)(a) Bowler with most Wickets in death overs in each season.
(6)(b) Bowler with most Wickets in death overs bowling first in each season.
(6)(c) Bowler with most Wickets in death overs bowling second in each season.

(7)(a) Bowlers with Best Economy in death overs in whole IPL.
(7)(b) Bowlers with Best Economy in death overs bowling first in whole IPL.
(7)(c) Bowlers with Best Economy in death overs bowling second in whole IPL.

(8)(a) Bowler with Best Economy in death overs in each season.
(8)(b) Bowler with Best Economy in death overs bowling first in each season.
(8)(c) Bowler with Best Economy in death overs bowling second in each season.

Analyzing two Teams

Pick your favorite team and the team you dislike most.
Use "matches.csv" and find who win most matches OR Most Mom awards i OR leading run-scorer OR leading wicket-taker in head to head matches.

Contributors Image In Readme

I think it is a great feature to add contributors image in README file. It really motivate to contributors. It is dynamically order the contributors.

contrimga

If you want to this feature on README so I want to do this issue @sakshamj74 Sir !! ๐Ÿ˜„

Highest run scorer(each season)

Analyze "deliveries.csv" to get the Highest run scorer(each season) and show the results using some innovative and easy to understand plots.

DLS Applied Analysis

Plot of team name and number of times they had DLS method.
And if you have more idea regarding this, do tell me.

Top 5 run getters(all seasons)

Analyze "deliveries.csv" to get the Top 5 run-getters(all seasons) and show the results using some innovative and easy to understand plots.

HIghest Team Total each season.

Analyze data to get the Highest team score (every season) and plot the result using some innovative and easy to understand plots.

Best Batsmen Analysis

Analyze the performances of some of the best batsmen and show them using some nice plots

EDA on IPL Dataset

I intend on doing a proper EDA
This includes Team analysis,Bowler Analysis,Batsman Analysis,Matches Analysis.
It includes:

  1. Team won by Maximum Runs
  2. Team won by Maximum wickets
  3. Team won by minimum runs
  4. Team won by Minimum Wickets
  5. Season Which had most number of matches
  6. Top Player of the match winners
  7. Number of matches in each venue
  8. Number of matches played by each team
  9. Number of wins per team
  10. Champions each season
  11. Toss decision
  12. Top players of the match
  13. Top Umpires
  14. Top run scorers in IPL
  15. Batsman with most number of boundaries
  16. Batsman with most number of sixes
  17. Batsman with most number of dot balls
  18. Batsman with highest percentage of dot balls
  19. Top Bowler-No of Bowls Balled
  20. Top Bowlers- No. of Dot balls bowled
  21. Bowlers with most extras
  22. Most common dismissal types in IPL

Even though these are rather straight forward questions to answer,it is a lot of python code to show it well.Would appreciate if it can be assigned to me and categorised as difficult or intermediate atleast.

Add Contributing.md file

I think it is important to have contributing guidelines so that an open-source contributor know how to contribute properly.
Can I work on this?

Stadium Wise Analysis

Analyze data to get the stadium wise analysis of teams preference regarding batting first or second and plot the result using some innovative and easy to understand plots.

Export graphs rather than saving screenshots

Export graphs to a directory ./graphs rather than saving it in ./screenshots like now, so that all figures henceforth can be collected at a single place.

I plan on implementing using savefig() starting on the first graph of Deliveries.ipynb, i.e. Top 10 wicket tackers in the History of IPL

Top 5 all Rounders

Analyze "deliveries.csv" to get top all-rounders in IPL history based on wickets taken and runs scored and visualize the results.

Most Popular Umpire

Analyze data to get the most popular umpire(overall) and plot the result using some innovative and easy to understand plots.

Add issue template

Can I make issue templates to enhance the workflow of the repository?

Code of Conduct

The project is currently missing the Code of Conduct file which is important for the open-source project
@sakshamj74 can I work on it

Top wicket takers

Analyze "deliveries.csv" to get the top wicket-takers in IPL History and show the results using some innovative and easy to understand plots.

Change path of matches.csv in Matches.ipynb

Describe the bug
The path to matches.csv in the second cell of Matches.ipynb is ./IPL-Analysis/Ipl Data/matches.csv. Relative path from Ipl Data/matches.csv is used in other files.

To Reproduce
Steps to reproduce the behaviour:

  1. Run the second cell of Matches.ipynb while IPL-Analysis directory.

Expected behaviour
The data is read successfully.

Actual behaviour
File not found error.

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