/test_cricket_analysis

Exploratory Data Analysis of test cricket data using python libraries: Numpy and pandas

Primary LanguageJupyter Notebook

test_cricket_analysis

Here I have analysed the data of test cricket. I've found this data from this source: https://stats.espncricinfo.com/ci/content/records/93276.html

Objectives of this project:

  • Displaying the first 10 rows of the dataframe
  • Creating a markdown cell and explain the meaning of each column
  • Finding the number of rows and columns in the dataframe
  • Finding the data statistics and check for the data types
  • Searching for missing values in the dataset
  • Renaming the column names appropriately
  • Removing a column from the dataframe
  • Removing the columns BBI and BBM
  • Finding number of players played for ICC
  • Finding number of different countries are present in this dataset
  • Finding the player who had played for the longest period of time
  • Top 5 batsmen: Highest number of years played
  • Top 5 batsmen: Lowest number of years played
  • Number of Australian Bowlers present in this dataset
  • Finding for Bangladeshi player in the dataset
  • Finding player with lowest economy rate
  • Finding player with lowest strike rate
  • Finding player with lowest bowling average