Exploring DataFrames with Currency Data

In this project, we'll analyze a comprehensive dataset containing information about currencies from around the world. By leveraging pandas' powerful tools, we'll dive into data manipulation and analysis. Throughout the project, we'll cover essential topics like data navigation, statistical analysis, column selection, and slicing techniques. Gain hands-on experience with pandas dataframe and unlock valuable insights from the currency dataset.

multiplechoice

Which method displays the first few rows of a DataFrame

multiplechoice

Which method displays the last few rows of a DataFrame

multiplechoice

Which method provides information about the DataFrame's column data types and non-null values

multiplechoice

Which method returns the number of rows and columns in a DataFrame

multiplechoice

Which method provides descriptive statistics for numerical columns in a DataFrame

multiplechoice

Which method returns the number of unique values in each column of a DataFrame

multiplechoice

Which method checks if there are any null values in a DataFrame

multiplechoice

In a DataFrame, which statement is used to select columns 'A' and 'B' using the indexing operator

multiplechoice

In a DataFrame, which statement is used to select rows with index values 2 to 5 using the indexing operator

multiplechoice

Which slicing operation selects rows with index values 3 to 7 and columns 'A' to 'C' in a DataFrame

multiplechoice

Which method is used to sort the rows of a DataFrame based on the values in a specific column

multiplechoice

What will be the output of `df.head(2)`

import pandas as pd

data = {'Name': ['John', 'Emma', 'Mike', 'Emily'],
        'Age': [25, 28, 30, 27],
        'City': ['New York', 'London', 'Paris', 'Tokyo']}
df = pd.DataFrame(data)
df.head(2)

multiplechoice

What does the variable `result` contain

import pandas as pd

data = {'Name': ['John', 'Emma', 'Mike', 'Emily'],
        'Age': [25, 28, 30, 27],
        'City': ['New York', 'London', 'Paris', 'Tokyo']}
df = pd.DataFrame(data)

result = df['Age'].mean()

multiplechoice

What does the variable result contain

import pandas as pd

data = {'Name': ['John', 'Emma', 'Mike', 'Emily'],
        'Age': [25, 28, 30, 27],
        'City': ['New York', 'London', 'Paris', 'Tokyo']}
df = pd.DataFrame(data)

result = df.loc[1:2, 'Name']

multiplechoice

What does the variable `result` contain

import pandas as pd

data = {'Name': ['John', 'Emma', 'Mike', 'Emily'],
        'Age': [25, 28, 30, 27],
        'City': ['New York', 'London', 'Paris', 'Tokyo']}
df = pd.DataFrame(data)

result = df.iloc[0:2, 1:3]

Exploring DataFrames with Currency Data

Project Activities

Which method displays the first few rows of a DataFrame

Which method displays the last few rows of a DataFrame

Which method provides information about the DataFrame's column data types and non-null values

Which method returns the number of rows and columns in a DataFrame

Which method provides descriptive statistics for numerical columns in a DataFrame

Which method returns the number of unique values in each column of a DataFrame

Which method checks if there are any null values in a DataFrame

In a DataFrame, which statement is used to select columns 'A' and 'B' using the indexing operator

In a DataFrame, which statement is used to select rows with index values 2 to 5 using the indexing operator

Which slicing operation selects rows with index values 3 to 7 and columns 'A' to 'C' in a DataFrame

Which method is used to sort the rows of a DataFrame based on the values in a specific column

What will be the output of `df.head(2)`

What does the variable `result` contain

What does the variable result contain

What does the variable `result` contain

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