cricket {gravitas}

Cricket data set for different seasons of Indian Premier League

Description

The Indian Premier League played by teams representing different cities in India from 2008 to 2016.

Usage

cricket

Format

A tibble with 8560 rows and 11 variables.

season

years representing IPL season

match_id

match codes

batting_team

name of batting team

bowling_team

name of bowling team

inning

innings of the match

over

overs of the inning

wicket

number of wickets in each over

dot_balls

number of balls with no runs in an over

runs_per_over

Runs for each over

run_rate

run rate for each over

Source

https://www.kaggle.com/josephgpinto/ipl-data-analysis/data

Examples

data(cricket)

library(tsibble)
library(dplyr)
library(ggplot2)

# convert data set to a tsibble ----
cricket_tsibble <- cricket %>%
  mutate(data_index = row_number()) %>%
  as_tsibble(index = data_index)
# set the hierarchy of the units in a table ----
hierarchy_model <- tibble::tibble(
  units = c("index", "over", "inning", "match"),
  convert_fct = c(1, 20, 2, 1)
)
# Compute granularities ----
cricket_tsibble %>%
  create_gran("over_inning",
               hierarchy_model)
# Visualise distribution of runs across granularities ----
cricket_tsibble %>%
  filter(batting_team %in% c("Mumbai Indians",
                             "Chennai Super Kings"))%>%
  prob_plot("inning", "over",
  hierarchy_model,
  response = "runs_per_over",
  plot_type = "lv")