### Kaggle Master at 40 in 1 month

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This quiz is to check your expertise in Pandas, a python library.

The number of attempts remaining is 5

1 / 30

1. Which function is used to check for missing values in a DataFrame?

2 / 30

2. How would you reset the index of a DataFrame df?

3 / 30

3. How can you set the index of a DataFrame df to be the column named 'date'?

4 / 30

4. In the Titanic dataset how would you find the average age of passengers?

5 / 30

5. How would you apply a function to every element in a DataFrame?

6 / 30

6. How can you change the data type of a column in a DataFrame?

7 / 30

7. Which method is used to calculate summary statistics of a DataFrame?

8 / 30

8. Which method would you use to execute a SQL query in Pandas?

9 / 30

9. What is the primary data structure in Pandas used for handling tabular data?

10 / 30

10. What is the primary data structure in Pandas used for handling tabular data?

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11. Which method would you use to sort a DataFrame df based on the values of column 'age'?

12 / 30

12. How can you reshape data using the melt function in Pandas?

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13. Which method can be used to group a DataFrame using a specific column?

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14. Which method is used to pivot a DataFrame?

15 / 30

15. Which function will replace values given in `to_replace` with `value` in a DataFrame?

16 / 30

16. How can you get the first 3 rows of a DataFrame df?

17 / 30

17. How would you access the third row of a DataFrame named df?

18 / 30

18. Which method can be used to drop duplicate rows in a DataFrame?

19 / 30

19. Which Pandas method would you use to stack a DataFrame?

20 / 30

20. How would you create a DataFrame from a dictionary?

21 / 30

21. What function is used to read a CSV file in Pandas?

22 / 30

22. What function is used to read a CSV file in Pandas?

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23. Which method is used to merge two DataFrames in Pandas?

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24. Which method in Pandas is used to combine data on common columns or indices?

25 / 30

25. In the Titanic dataset how would you filter out rows where 'Age' is under 18?

26 / 30

26. In the Titanic dataset how would you find the number of passengers who survived?

27 / 30

27. How can you convert a Pandas DataFrame to a NumPy array?

28 / 30

28. Which method is used to calculate the correlation matrix of a DataFrame?

29 / 30

29. How can you handle outliers in a DataFrame?

30 / 30

30. How would you filter df to only show rows where the value in 'age' is greater than 25?

Your score is

0%

Done

first attempt 67%

2nd attempt(100%) Alhamdulillah

56%

Alhumduillah got 96.67% (3rd attempt)

After 3rd attemp, achieved 93.33%.

Thank You Dr Ammar. For quiz etup.

86%

Great quiz. Score 93%

quiz score = 87%

I Got 83.33%

Done

done sir

90% finally

90%

Sir retake quiz ni attampt kr sakty isssu hu rha ha k already passed the quiz. Kindly resolve the issues

Alhamdulliah scored 90 finally

Sir I got 18/30 but how check my wrong answer.

Got 76.67%

First quiz me mery percentage 76.67% ha. Likin aj Waly quiz ko attampt ni kr Saka q k mujy se attampt kr NY sepahly he click hu ga complete mark pr .

Kindly refrish kr de aj Waly quiz ko

50%

73%

got 70%. plz tell the correct answers of my wrongs.

Done

Quiz Don thanks

i got 90 percent marks in this quiz thank u sir ammar for making this quiz

Done with about 97%

done quiz

Try to improve in 2nd attempt. Gotta try the 3rd attempt to improve the output!

Quiz is good and you did a good thing by locking the quiz so that no body can use it to search the answer on google or llm.

questions are little bit confusing and not clear. Q may be re-evaluate after generated. This is good practice to learn pandas and also include interview Q. It is great effort by Codanics team. Thank u

It obvious my performance is 50 to 60 %.

I must improve. and I will inshallah.

Done

Completed quiz with 83.33% Score

i have a knowlegde this much how i have listen your lecture

bcoz, im non IT student.im from b.com

and Thank u so much i have learned this much with youre lecture

i can learn more a part from this i future

What is passing criteria?

80%

Right areas covered in quiz 01. Awesome

Good series for practice