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

October 13, 2023 Dr. Aammar Tufail

What is this about?

Unlock the power of data analysis with our interactive quiz on Pandas and Exploratory Data Analysis (EDA). Whether you are a beginner or have some experience under your belt, this quiz offers a fun and engaging way to test and expand your knowledge. Get ready to dive into the world of data manipulation, visualization, and insightful analysis.

The Essence of Interactive Learning:

In the realm of data science, the theoretical knowledge is well complemented by practical application. Interactive learning emerges as a golden key to mastering this domain. Here are some perks:

Immediate Feedback: Interactive quizzes provide instant feedback, helping you understand your mistakes on the spot and learn from them.
Retention: By engaging in an interactive quiz, you’re more likely to retain complex data science concepts, thanks to the hands-on approach.
Self-Paced Learning: Our quiz allows you to learn and progress at your own pace, ensuring a thorough understanding of each concept before moving on.
Real-World Problem-Solving: Tackle real-world data scenarios through our quiz, enhancing your problem-solving skills and preparing you for practical data science challenges.
Fun and Engaging: Turning education into a game not only makes learning fun but also keeps you engaged and motivated to progress further.

The Quiz about pandas for EDA:

Our quiz is designed to challenge your understanding of Pandas, a core library in Python for data analysis, and EDA techniques to uncover trends, anomalies, and patterns in data. From handling missing data to generating compelling visualizations, this quiz covers a broad spectrum of topics.

Master Pandas and Exploratory Data Analysis (EDA) Through Our Interactive Quiz in 17 minutes

The quiz time to learn EDA faster than expected:

The total time for this quiz is 17 minutes.

Number of Questions in this Quiz about Pandas for Exploratory Data Analysis:

A total of 50 questions have places in this quiz, to practice your basic to intermediate skills in using pandas library of python for EDA analysis.

Number of attempts per user:

You can only attempt this quiz 3 times at most.

What You’ll Learn:

Core Pandas functionalities for data wrangling and analysis.
Essential Exploratory Data Analysis (EDA) techniques to derive insights from data.
Practical application of data visualization libraries such as Matplotlib and Seaborn.

Why Take This Quiz on Exploratory Data Analysis:

Interactive and Engaging: Learn by doing with real-time feedback. This quiz will help you to master pandas for your EDA (Exploratory Data Analysis Journey) practice.
Comprehensive: Covers a wide range of topics, from basic to advanced.
Self-Paced: Take the quiz at your own pace, with the ability to retake it as many times as you want.

Resources to learn pandas for Exploratory Data Analysis

Here you can learn in Hindi/Urdu

Conclusion:

Get a taste of data analysis with our Pandas and EDA quiz. It’s an opportunity to learn, practice, and challenge yourself. Ready to take your data analysis skills to the next level? Dive in the quiz and start exploring the fascinating world of data analytics!

Free course:

Six months of AI and Data Science Mentorship Program

1423

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

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

A) df.mean()

B) df.calculate_mean()

C) df.median()

D) df.average()

2 / 50

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

A) df.sort()

B) df.sort_index()

C) df.order()

D) df.arrange()

3 / 50

What is the purpose of the groupby method in pandas?

A) To sort data based on a key

B) To plot data based on a key

C) To group data based on one or more keys

D) To drop data based on a key

4 / 50

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

A) df.replace(to_replace value)

B) df.change(to_replace value)

C) df.swap(to_replace value)

D) df.substitute(to_replace value)

5 / 50

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

A) df.begin(n)

B) df.first(n)

C) df.head(n)

D) df.top(n)

6 / 50

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

A) df.boxplot()

B) df.plot.box()

C) df.plot(kind='box')

D) df.create_boxplot()

7 / 50

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

A) pandas.convert_to_datetime(Series)

B) pandas.to_datetime(Series)

C) pandas.str_to_date(Series)

D) pandas.date_convert(Series)

8 / 50

What is the purpose of the pivot_table method in pandas?

A) To sort a DataFrame

B) To plot a DataFrame

C) To drop values from a DataFrame

D) To create a spreadsheet-style pivot table as a DataFrame

9 / 50

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

A) df.aggregate()

B) df.total()

C) df.sum()

D) df.addition()

10 / 50

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

A) df.sample(n)

B) df.get_sample(n)

C) df.random(n)

D) df.select_random(n)

11 / 50

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

A) df.numpy()

B) df.to_numpy()

C) df.array()

D) df.to_array()

12 / 50

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

A) df.pair_cov()

B) df.covariance()

C) df.cov()

D) df.cov_matrix()

13 / 50

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

A) df.order('column_name')

B) df.sort('column_name')

C) df.sort_values(by='column_name')

D) df.arrange('column_name')

14 / 50

What is the purpose of the cut function in pandas?

A) To slice data frames

B) To bin values into discrete intervals

C) To cut missing values

D) To cut strings

15 / 50

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

A) To upload data to a database

B) To visualize the distribution and identify outliers

C) To create databases

D) To fill missing values

16 / 50

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

A) df['column'].type('new_type')

B) df['column'].astype('new_type')

C) df['column'].change_type('new_type')

D) df['column'].convert('new_type')

17 / 50

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

A) df['column'].create_boxplot()

B) df['column'].plot.box()

C) df['column'].plot(kind='box')

D) df['column'].boxplot()

18 / 50

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

A) df.types()

B) df.dtypes

C) df.columns_types()

D) df.get_types()

19 / 50

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

A) df.iloc[labels]

B) df.get[labels]

C) df.select[labels]

D) df.loc[labels]

20 / 50

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

A) df.statistics()

B) df.summary()

C) df.describe()

D) df.info()

21 / 50

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

A) df.reshape_melt()

B) pandas.melt(df)

C) df.melt_reshape()

D) df.melt()

22 / 50

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

A) df.drop(columns='column_name')

B) df.remove('column_name')

C) df.drop_column('column_name')

D) df.delete('column_name')

23 / 50

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

A) df.fillna(value)

B) df.null_fill(value)

C) df.replace_na(value)

D) df.missing_fill(value)

24 / 50

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

A) pandas.display('max_rows' 10)

B) pandas.set('max_rows' 10)

C) pandas.set_option('display.max_rows' 10)

D) pandas.option('max_rows' 10)

25 / 50

Which method is used to concatenate two DataFrames?

A) df1.merge(df2)

B) df1.concat(df2)

C) df1.join(df2)

D) pandas.concat([df1 df2])

26 / 50

How would you rename a column in a DataFrame?

A) df.rename(columns={'old_name':'new_name'})

B) df.change_name('old_name' 'new_name')

C) df.rename_column('old_name' 'new_name')

D) df.column_rename('old_name' 'new_name')

27 / 50

How do you set the index of a DataFrame?

A) df.set_index('column_name')

B) df.index_set('column_name')

C) df.index('column_name')

D) df.set_index_column('column_name')

28 / 50

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

A) df['column'].distinct()

B) df['column'].count_unique()

C) df['column'].nunique()

D) df['column'].unique_count()

29 / 50

How would you read a CSV file in pandas?

A) pandas.read_csv('file.csv')

B) pandas.get_csv('file.csv')

C) pandas.open_csv('file.csv')

D) pandas.load_csv('file.csv')

30 / 50

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

A) df.remove_na()

B) df.dropna()

C) df.delete_na()

D) df.drop_null()

31 / 50

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

A) df.save('filename.png')

B) df.saveplot('filename.png')

C) df.export('filename.png')

D) plt.savefig('filename.png')

32 / 50

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

A) df.column_corr()

B) df.compute_corr()

C) df.pair_corr()

D) df.corr()

33 / 50

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

A) df.drop_duplicates()

B) df.unique_rows()

C) df.delete_duplicates()

D) df.remove_duplicates()

34 / 50

How do you check for missing values in a DataFrame?

A) df.empty()

B) df.null()

C) df.isnull()

D) df.missing()

35 / 50

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

A) df.precision()

B) df.float()

C) df.decimal()

D) df.round()

36 / 50

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

A) caption='Title'

B) label='Title'

C) title='Title'

D) heading='Title'

37 / 50

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

A) pandas.concat([df1 df2] on='common_column')

B) df1.concat(df2 on='common_column')

C) df1.join(df2 on='common_column')

D) pandas.merge(df1 df2 on='common_column')

38 / 50

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

A) df.set_index()

B) df.new_index()

C) df.reset_index()

D) df.index_reset()

39 / 50

How do you select a specific column from a DataFrame?

A) df['column_name']

B) df.select('column_name')

C) df.column('column_name')

D) df.get('column_name')

40 / 50

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

A) df.query('column_name' > value)

B) df[df['column_name'] > value]

C) df.filter('column_name' > value)

D) df.condition('column_name' > value)

41 / 50

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

A) df.info()

B) df.describe()

C) df.summary()

D) df.statistics()

42 / 50

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

A) df.write_csv('file_path')

B) df.to_csv('file_path')

C) df.save_csv('file_path')

D) df.csv('file_path')

43 / 50

What is the purpose of the melt function in pandas?

A) To drop values from a DataFrame

B) To unpivot a DataFrame from wide format to long format

C) To pivot a DataFrame from long format to wide format

D) To sort a DataFrame

44 / 50

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

A) pandas.crosstab()

B) pandas.table()

C) pandas.tabulate()

D) pandas.cross_table()

45 / 50

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

A) by='column'

B) with='column'

C) using='column'

D) column='column'

46 / 50

How do you perform data normalization in pandas?

A) df.standardize()

B) df.norm()

C) (df - df.min()) / (df.max() - df.min())

D) df.normalize()

47 / 50

How would you create a correlation matrix in pandas?

A) df.correlation()

B) df.corr()

C) df.correlate()

D) df.corr_matrix()

48 / 50

Which pandas function would you use to create a histogram?

A) df['column'].create_hist()

B) df['column'].plot(kind='hist')

C) df['column'].plot_histogram()

D) df['column'].histogram()

49 / 50

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

A) df.show()

B) df.display()

C) df.head()

D) df.first()

50 / 50

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

A) Null values improve data quality

B) Null values increase data accuracy

C) Null values can distort statistical analysis and machine learning models

D) Null values are required for data visualization

Your score is

67 Comments.

Muhammad Shoaib says:
August 28, 2024 at 3:45 pm
i got 90 % marks
Reply
Umaima A Qadir says:
July 7, 2024 at 2:48 am
92%..
Reply
Mohid Naghman says:
July 1, 2024 at 1:14 pm
88% in first Attempt
Reply
Danish Azeem says:
April 18, 2024 at 9:53 am
First attempt: 80%
Reply
Asad Mujeeb says:
April 10, 2024 at 6:20 pm
85%
Reply
Muhammad Adil Naeem says:
April 7, 2024 at 8:53 pm
only 11 wrong answers feeling knowledgefull
Reply
ahasan Ansari says:
March 25, 2024 at 3:55 pm
not store the data and nor shown result . pls suggest its bug or not passed
Reply
Muneer Ahmed says:
December 4, 2023 at 4:40 pm
84%
Reply
Abdullah Khan says:
December 4, 2023 at 11:47 am
On my first attempt I got 80%.
Reply
Talha Afzal says:
November 23, 2023 at 11:47 am
80% in 1st attempt
Reply
Muhammad Kamran says:
November 21, 2023 at 3:29 pm
84% first attempt
Reply
Anila Gulzar Toor says:
November 16, 2023 at 9:42 pm
86%
Reply
Hamza Zubair says:
November 15, 2023 at 10:47 pm
70% via first attemtp
Reply
Almas Sultana says:
November 13, 2023 at 10:55 am
88 % in first attempt
Reply
Attaul Wahab says:
November 11, 2023 at 8:56 pm
88%
Reply
Muhammad Jafari says:
November 10, 2023 at 6:32 pm
88% in second attempt.
Reply
saima Shahzadi says:
November 9, 2023 at 2:10 pm
64%,76% in third attepmt got 84%
Reply
Muhammad Daniyal says:
November 6, 2023 at 12:38 am
86% in first attempt
Reply
hasaan khan says:
November 5, 2023 at 7:43 pm
i have got 86 percent in this quiz. Alhumdulillah
Reply
faiyaz gundar says:
November 3, 2023 at 6:54 pm
Glad to have 80% in first attempt with quick sense
Reply
Naeem Khan says:
November 1, 2023 at 8:28 am
82 in 1st
Reply
Mudassar Afzal says:
October 28, 2023 at 11:00 pm
84% in 1st attempt
Reply
tayyab Ali says:
October 26, 2023 at 1:25 am
I got 84% on the first attempt.
Reply
Ali Ahmad says:
October 22, 2023 at 11:50 pm
88 in first attempt
Reply
Saadat Ali says:
October 22, 2023 at 6:20 pm
First Attempt 84 %
Reply
Furqan Malik says:
October 22, 2023 at 2:58 pm
80% in first attempt will imporve it in next attempt
Reply
Shahid Umar says:
October 22, 2023 at 11:45 am
I got 96%
Reply
Sana Shah says:
October 22, 2023 at 11:06 am
first 74% second 84%
Reply
Sana Shah says:
October 22, 2023 at 10:28 am
74% Alhamdulillah in first attempt
Reply
Muhammad Afzal Syed Ur Rehman says:
October 21, 2023 at 10:46 pm
Done Sir
Reply
Fahad ahmed says:
October 21, 2023 at 8:52 pm
Got 84 marks
Reply
Muhammad Abdullah says:
October 21, 2023 at 7:26 pm
88% BUT I CAN GET 100% EASILY .. JUST DROP MY % BCZ LACK OF SABR 🙁
Reply
Shahkar Shahid says:
October 21, 2023 at 6:36 pm
88%
Reply
MUHAMMAD ZAHID says:
October 21, 2023 at 5:33 pm
84%
Reply
Nisar Ul Haq says:
October 18, 2023 at 4:05 pm
in 1st attempt i scored 66% in 2nd attempt got 87%.
Reply
Shahid Umar says:
October 17, 2023 at 8:49 pm
I got 82.88%
Reply
Najeeb Ullah says:
October 17, 2023 at 1:40 pm
82%
Reply
M.Hasnain khan says:
October 14, 2023 at 8:58 pm
I got 92% in my first attempt
Reply
1. Shahid Umar says:
  October 17, 2023 at 8:47 pm
  Congrats bro!!!
  Reply
Mahboob Ul Hassan says:
October 14, 2023 at 12:46 pm
Mahboob ul Hassan
Quiz No.3
92% in 2nd attempt
Reply
Muhammad Wakeel says:
October 14, 2023 at 11:10 am
98%
Reply
Muhammad Sallahuddin Siddiqui says:
October 14, 2023 at 1:45 am
94%
Reply
Mudassar Afzal says:
October 13, 2023 at 9:52 pm
86% in first attempt
Reply
Mehreen Bibi says:
October 13, 2023 at 9:48 pm
88% in 2nd attempt
Reply
MUHAMMAD HURRIRAH Tahir says:
October 13, 2023 at 9:07 pm
98% in second time. one is wrong becuase of not understanding the question in good way.
Reply
Hashir Bhatti says:
October 13, 2023 at 9:06 pm
100% on 2nd attempt.
Reply
Farman Ali says:
October 13, 2023 at 8:58 pm
I am in a position, that run in 2 and 4 gear at a time, I planned to cover chillah and this course at a time, its very hard but I shall perform quiz once before and then after covering the content. In hospital with family make the situation but soon I am recovering…InshAllah
Reply
Muhammad Abdullah says:
October 13, 2023 at 8:48 pm
98% in 2nd Attempt ❤️
Reply
Muhammad Abdullah says:
October 13, 2023 at 8:39 pm
82% in First Attempt ❤️
Reply
1. Shahid Umar says:
  October 17, 2023 at 8:48 pm
  Mubarak ho bhai
  Reply
Hassan Jameel Ahmed says:
October 13, 2023 at 7:49 pm
greet I am finished I got 84% wow
Thanks Dr. Ammar
Reply
Muhammad Mubeen says:
October 13, 2023 at 7:47 pm
Sir mashallah bahot he faida howa , aur is mai Sir kuch question asay b thay jo ap nay teach nahi kiay,
Reply
1. Dr. Aammar Tufail says:
  October 15, 2023 at 1:32 am
  That was on purpose to let you teach yourself via google or so.
  Reply
Muhammad Mubeen says:
October 13, 2023 at 7:41 pm
I got 62%
Reply
Sajjad Abdullah says:
October 13, 2023 at 7:36 pm
90%…
Reply
Muhammad Afzal Syed Ur Rehman says:
October 13, 2023 at 7:33 pm
Alhamdulillah Done Quiz 74%
Reply
Ghulam Murtaza says:
October 13, 2023 at 7:24 pm
92% in 2nd attempt
Reply
Ali Raza says:
October 13, 2023 at 6:46 pm
And one more thing which i suggest that take a this type of quiz before or after the lecture
Reply
1. Muhammad Mubeen says:
  October 13, 2023 at 7:48 pm
  G Ali Raza bhae zoror honay chai ye
  Reply
Ali Raza says:
October 13, 2023 at 6:42 pm
nice sir this is good method to learn & khow himself learning
Reply
Muhammad Bakhsh says:
October 13, 2023 at 6:42 pm
Alhamdulilah got 92% Score.
thank you
Reply
1. Dr. Aammar Tufail says:
  October 13, 2023 at 6:50 pm
  Great
  Reply
Shahbaz Baig says:
October 13, 2023 at 6:16 pm
86 %
Reply
Mudassar Hussain says:
October 13, 2023 at 6:12 pm
I can’t perform well
Reply
1. Dr. Aammar Tufail says:
  October 13, 2023 at 6:50 pm
  Practice Hard
  Reply
Muhammad afzal says:
October 13, 2023 at 6:00 pm
I am not taking this course yet I am taking sir Irfan hope to skills free AI course I wanna try my self from this quiz I have taken 58% in first attempt now I attempting second and third I am so happy for earn this number in first attempt..thanks Sir Irfan Malik and sir baba aamaar
Reply
1. Khalid mehmood says:
  October 13, 2023 at 6:45 pm
  I am busy with python ka chilla for now..but I am practicing 6 month course along with python ka chilla and for now I am working on day 5.
  Reply