modul 2

Choose the correct answer.

• np.random.rand(5,3)

• np.random.rand(15).reshape(3,5)

• np.random.randint(0,100,((3,5))

• np.random.randn(15,((3,5))

• np.random.randn(15).reshape(5,3)

Which code has the expected sub-array?

• arr[1:][2:]

• arr[2:,1:]

• arr[2:][1:]

• arr[1:,2:]

• arr[1,2:]

In Pandas, which methods can be used to combine 2 dataframes?

• coalition

• All options are correct

• concat

• extend

• append

A dataframe, named df, contains employees data, their positions and their salaries. Here are the first 5 rows of df.

Which is the correct way to find the number of unique job titles (JobTitle) registered in df?

• df[‘JobTitle’].nunique()

• df[‘JobTitle’].unique()

• df.groupby(‘JobTitle’)

• df.sort_values(‘JobTitle’,ascending=False)

• df[‘JobTitle’].count()

A dataframe, named df, contains employees data, their positions and their salaries. Here are the first 5 rows of df.

Which is the correct way to find the average base pay (BasePay) of employees in 2012?

• df['BasePay'][df['Year']==2012].mean()

• df.loc[2012]['BasePay'].mean()

• df.iloc[df['Year']==2012]['BasePay'].mean()

• All options are correct

• df.iloc[df['Year']==2012]['BasePay'].avg()

Which is the correct description for the output of the following code. df.groupby('JobTitle').mean().sort_values('TotalPay',ascending=False)['TotalPay'].iloc[:5]

• 5 job titles (JobTitle) that have the lowest total pay (TotalPay)

• Average total pay (TotalPay) by job title (JobTitle)

• 5 job titles (JobTitle) that have the highest total pay (TotalPay).

• 5 job titles (JobTitle) and their average total pay (TotalPay) which has the highest total pay (TotalPay)

• 5 Position (JobTitle) and average total pay (TotalPay) which has the lowest total pay (TotalPay)

You are interested to see if base pay (BasePay) has any relation to overtime pay (OvertimePay). Here are the results of your data normality test.

Which is the most appropriate way to test the correlation between BasePay and OvertimePay?

• df['BasePay'].corr(df['OvertimePay'], method=’pearson’)

• df[['BasePay','OvertimePay']].corr()

• df[['BasePay','OvertimePay']].corr(‘spearman’)

• df.corr()[['BasePay','OvertimePay']]

• df['BasePay'].corr(df['OvertimePay'])

You want to show the trend of the relationship between base pay (BasePay) and overtime pay (OvertimePay) by making a plot.

Which is the most appropriate way to create a suitable plot?

• 
• 
• 
• Semua Salah

What is the right term to describe the distribution of your data based on the boxplot above?

• Symmetric

• Normal

• Negatively skewed

• Positively skewed

• Uniform

Descriptive statistics is a type of statistics that describe the condition of our data. Choose the correct statement regarding descriptive statistics from the following statements!

• Mean is most often used as a measure of central tendency for qualitative data.

• All options are correct

• When data distribution is normal, use IQR to see the spread of data.

• Standard deviation is best used to measure the variability of data that uses the median as the central tendency.

• If your data distribution is skewed, use the median as the measure of data centers