Data Analysis with Python Questions and Answers 100% Pass

Data Analysis with Python Questions and Answers 100% Pass What is the primary library in Python for data analysis? pandas What function is used to read a CSV file in Python using pandas? _csv() What is the purpose of the pandas DataFrame? To store and manipulate tabular data in rows and columns What is the difference between a list and a DataFrame in Python? A list is a basic data structure for holding ordered items, while a DataFrame is a 2- dimensional table that allows for data manipulation and analysis How can you drop missing values from a DataFrame in pandas? a() 2 How can you fill missing values in a DataFrame in pandas? a(value) What does the `groupby()` function in pandas do? It splits the data into groups based on some criteria and applies a function to each group How do you create a plot in Python using matplotlib? (x, y) What is the purpose of the `pivot_table()` function in pandas? It creates a summary table by aggregating data based on certain keys What is the use of the `.iloc[]` indexer in pandas? It allows for indexing by position to access rows and columns What is a NumPy array? A multidimensional array used to store numerical data and perform vectorized operations 3 How can you merge two DataFrames in pandas? (df1, df2, on='key') What is the purpose of the `.apply()` function in pandas? It applies a function along an axis (rows or columns) of a DataFrame How do you calculate the correlation between two columns in a pandas DataFrame? df['col1'].corr(df['col2']) What is the purpose of the `matplotlib` library in Python? To create static, animated, and interactive visualizations What does the `seaborn` library provide in Python? A higher-level interface for creating attractive and informative statistical graphics What is the difference between a for loop and a list comprehension in Python? A for loop iterates over items in a sequence, while list comprehension is a concise way to create lists based on existing data 4 How do you select rows where a column value is greater than a certain threshold in pandas? df[df['column'] > threshold] What is the purpose of the `describe()` function in pandas? It generates descriptive statistics of the DataFrame, including count, mean, standard deviation, and more How do you create a new column based on the values of existing columns in pandas? df['new_column'] = df['column1'] + df['column2'] What is the purpose of the `scatter()` function in matplotlib? To create a scatter plot that shows the