sakshamj74 / ipl-analysis Goto Github PK
View Code? Open in Web Editor NEWThe aim of the project is to analyze the previous year's IPL data to get some interesting insights.
The aim of the project is to analyze the previous year's IPL data to get some interesting insights.
Analyse the dataset and tell all the statistics present in this dataset related to victories
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?
Analyze "deliveries.csv" to get the Top 5 run-getters(all seasons) and show the results using some innovative and easy to understand plots.
Analyze fastest centuries by players in innings.
Analyze the performances of some of the best batsmen and show them using some nice plots
Analysing the data, we need to find the biggest victories while defending a score or chasing a score
Let me work on this
Analyze "deliveries.csv" to get top all-rounders in IPL history based on wickets taken and runs scored and visualize the results.
Plot of bowler name and number of no-balls thrown.
I would like to contribute to it.
Actually, I have a very little experience regarding this. But I would like to give more ideas for the analysis.
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
Stadium wise analysis plotting the percentage of winning of batting first and batting second in each stadium
Plot of teams and runs in first innings
The current Graph shows 100% win for matches won by the team batting first while the data shows a win percentage of 42.8% for the team batting first.
Analyse the data and tell the mose expensive bowler
Analyzing Hat-tricks in IPL.
Analyzing most sixers by innings in IPL.
Analyze fastest fifties by players in innings.
Might include other top players having highest strike rate.
Plot of player name and it's strike rate.
Analyze data to get the most popular umpire(overall) and plot the result using some innovative and easy to understand plots.
Analyze "deliveries.csv" to get the top wicket-takers in IPL History and show the results using some innovative and easy to understand plots.
Can I make issue templates to enhance the workflow of the repository?
I would like to work on this issue. Can u assign me this
Plot of team name and number of times they won by 10 wickets
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.
If you want to this feature on README so I want to do this issue @sakshamj74 Sir !! ๐
Assign to me, I would like to work on this
Analyzing most sixers by any player in IPL.
Can I add pull request template to this project to enhance the workflow of the repository?
I would like to create a script for detailed analysis on extra runs by teams as well as individual bowlers.
The project is currently missing the Code of Conduct file which is important for the open-source project
@sakshamj74 can I work on it
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.
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.
Plot of the player name and total times he won the Player of The Match title
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.
Analyze data to get the Highest team score (every season) and plot the result using some innovative and easy to understand plots.
I intend on doing a proper EDA
This includes Team analysis,Bowler Analysis,Batsman Analysis,Matches Analysis.
It includes:
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.
Analyze "deliveries.csv" to get the Highest run scorer(each season) and show the results using some innovative and easy to understand plots.
We can analyze that did the team that won the toss in a match also won the match?
Plot of Team Name and it's run rate.
Plot of Player Name and number of wides thrown.
This will help not include .vscode
files in future commits
Plot of team name and number of times they had DLS method.
And if you have more idea regarding this, do tell me.
please do assign it to me,i forget to ask for it earlier
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:
Expected behaviour
The data is read successfully.
Actual behaviour
File not found error.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.