# import the required library
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# load the dataset
df = pd.read_csv("A4.csv")
df.boxplot(by ='game', column =['percentage_no_of_correct_responses'], grid = False)
df.boxplot(by ='game', column =['commission_errors'], grid = False)
df.boxplot(by ='game', column =['omission_errors'], grid = False)
df.boxplot(by ='game', column =['mean_reaction_time'], grid = False)
df.boxplot(by ='game', column =['total_duration'], grid = False)
<AxesSubplot:title={'center':'total_duration'}, xlabel='game'>
# load the dataset
df = pd.read_csv("A5.csv")
df.boxplot(by ='game', column =['percentage_no_of_correct_responses'], grid = False)
df.boxplot(by ='game', column =['commission_errors'], grid = False)
df.boxplot(by ='game', column =['omission_errors'], grid = False)
df.boxplot(by ='game', column =['mean_reaction_time'], grid = False)
df.boxplot(by ='game', column =['total_duration'], grid = False)
<AxesSubplot:title={'center':'total_duration'}, xlabel='game'>