Skip to content

Now that this year's IPL is over, let's not curb our cricket love and start analyzing the whole of IPL with this latest and complete Indian Premier League dataset. It contains the match descriptions, results, winners, player of the matches, ball by ball dataset and much more. So, stop thinking and start analyzing . Content This dataset consists …

License

Notifications You must be signed in to change notification settings

vikrant65-byte/IPL-dataset-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 

Repository files navigation

IPL_dataset_Analysis

IPL is the biggest sports festival our India. It consist of all Great international crickets from different countries and domestic players of India. We have three csv dataset files which has the data of IPL matches per ball summary, venue details and total Match summary. This dataset consists of three separate CSV files : matches and deliveries. These files contain the information of each match summary and ball by ball details, respectively.

Our Aim in this project is to analyse the dataset using sql queries. The tools and technology used were:

  1. Python
  2. Pyspark library
  3. SQl
  4. Databricks Notebook (PLatform to write and run our code)

We can get to know more about the dataset by applysin as many queries as we want but for our study purpose it is limited to 9 queries only.

Steps:-

  1. Load Dataset
  2. Filter and Data cleaning
  3. Join Dataset
  4. Convert dataset into Table
  5. Perform SQl queries using SqlContext
  6. Using SQlite Database to create a database for our table
  7. Creating class Database which has methods to implemewnt our queries using SQlite DAtabase
  8. Creating objects for our class Database and calling methods to implement ou sql queries thorough it

About

Now that this year's IPL is over, let's not curb our cricket love and start analyzing the whole of IPL with this latest and complete Indian Premier League dataset. It contains the match descriptions, results, winners, player of the matches, ball by ball dataset and much more. So, stop thinking and start analyzing . Content This dataset consists …

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published