0%
2021

You have to finish 50 questions in 17 minutes


Created by Dr. Aammar Tufail
How good am I using Pandas for EDA analysis

How good am I in using pandas for Exploratory Data Analysis (EDA)?

Have you already practice pandas library of Python for Doing EDA analysis?

If yes, then this quiz is for you. Attempt and get 80% marks to pass the quiz.

The number of attempts remaining is 3

1 / 50

Which method is used to compute a simple cross-tabulation of two (or more) factors?

2 / 50

How would you create a box plot for a specific column using pandas?

3 / 50

Which method is used to drop a specific column from a DataFrame?

4 / 50

How would you create a box plot for every column in a DataFrame using pandas?

5 / 50

How do you change the data type of a column in pandas?

6 / 50

Which method is used to get the statistical summary of a DataFrame?

7 / 50

How do you perform data normalization in pandas?

8 / 50

How do you check for missing values in a DataFrame?

9 / 50

How would you count the number of unique values in a column?

10 / 50

What is the purpose of the cut function in pandas?

11 / 50

What is the purpose of the groupby method in pandas?

12 / 50

What is the method to display the first 5 rows of a DataFrame?

13 / 50

What is the method to drop duplicate rows from a DataFrame?

14 / 50

Which function is used to replace values given in to_replace with value?

15 / 50

How do you set the title of a box plot created using pandas?

16 / 50

Which method is used to reshape a DataFrame using a melt operation?

17 / 50

Which method is used to round a DataFrame to a variable number of decimal places?

18 / 50

How do you select a specific column from a DataFrame?

19 / 50

Which method in pandas is used to write DataFrame to a comma-separated values (csv) file?

20 / 50

Which method is used to return the first n rows of a DataFrame?

21 / 50

Which pandas function would you use to create a histogram?

22 / 50

What is the primary use of a box plot in data analysis?

23 / 50

Which pandas method is used to calculate pairwise covariance of columns?

24 / 50

How do you save a plot created using pandas to a file?

25 / 50

Why is it important to tackle null values in a dataset during data analysis?

26 / 50

Which method is used to compute pairwise correlation of columns excluding NA/null values?

27 / 50

Which method is used to drop rows with missing values in pandas?

28 / 50

How would you get the sum of values for each column?

29 / 50

What is the method to get the data types of each column in a DataFrame?

30 / 50

How would you filter rows in a DataFrame based on a condition?

31 / 50

Which method is used to merge two DataFrames based on a common column?

32 / 50

What is the method to calculate the mean of each column in a DataFrame?

33 / 50

What is the method to get a random sample of rows from a DataFrame?

34 / 50

How do you convert a series of date-strings to a pandas datetime object?

35 / 50

How would you rename a column in a DataFrame?

36 / 50

What is the purpose of the pivot_table method in pandas?

37 / 50

Which method is used to sort a DataFrame based on a specific column?

38 / 50

How do you set a pandas option to display a maximum of 10 rows?

39 / 50

What is the purpose of the melt function in pandas?

40 / 50

How would you create a correlation matrix in pandas?

41 / 50

Which method is used to sort the index of a pandas DataFrame?

42 / 50

Which method is used to concatenate two DataFrames?

43 / 50

Which parameter would you use with df.plot(kind='box') to plot by a particular column?

44 / 50

How would you read a CSV file in pandas?

45 / 50

How would you convert a pandas DataFrame to a NumPy array?

46 / 50

How do you set the index of a DataFrame?

47 / 50

Which method is used to reset the index of a DataFrame?

48 / 50

Which method is used to compute descriptive statistics of a DataFrame?

49 / 50

How do you select rows in a DataFrame based on index labels?

50 / 50

How do you fill missing values with a specific value in a DataFrame?

Your score is

0%

Master Pandas and Exploratory Data Analysis (EDA) Through Our Interactive Quiz