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Data Analytics Case Study EuroCup Soccer

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Data Analytics Case Study2

Data Analytics Case Study EuroCup Soccer. This is Data in Motion data analysis challenge #2. This case study was done using R tidyverse package. Steps are:

  1. Set up environments install package tidyverse and dplry for sorting and select.

    #an argument repos is added to the function that gives it the web address of the repository.
    install.packages("tidyverse", repos = "http://cran.us.r-project.org")
    
  2. Load data. Save the data set into local file directory. change working directory to where the file is. load the data into data frame eurocup_soccer.

    setwd("C:/Users/liuch/OneDrive/Documents/DataAnalytics/Portfolio/case_study_2")
    eurocup_soccer <- read_csv("Euro_2012_stats_TEAM.csv")
    
  3. After loading data, First take a glimpse

    glimpse(eurocup_soccer)
    
  4. Start to analyze data. Check the final report for analyze results.

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