1.
Question 1
Why is storytelling an important skill in data analysis?


To create complex charts and graphs



To convey meaningful insights




To manipulate data for personal gain



To impress colleagues and stakeholders


1 point
2.
Question 2
In the video "Data Cleaning in Python," what is the purpose of data cleaning?


To prepare the dataset for analysis by addressing inconsistencies and errors



To convert categorical variables into numerical ones



To remove all missing values from the dataset



To apply statistical models to the dataset


1 point
3.
Question 3
Imagine you are working on a project that involves analyzing data from a survey. Which scenario represents the appropriate use of a line chart?


Visualizing the correlation between two numerical variables in the survey



Showing the distribution of survey respondents based on their gender



Displaying the frequency of different responses to a multiple-choice question in the survey



Comparing the average age of survey respondents across different regions


1 point
4.
Question 4
When is it appropriate to use a scatter plot in data visualization?


When comparing the distribution of a categorical variable



When visualizing hierarchical relationships among data points



When visualizing the relationship between two numerical variables



When displaying trends or changes over time


1 point
5.
Question 5
Which statement describes a key characteristic of heatmaps in data visualization?


Heatmaps are primarily used for visualizing trends over time.



Heatmaps use color gradients to represent data values in a matrix.



Heatmaps provide a visual representation of data distribution.



Heatmaps are used to display one-dimensional data.


1 point
6.
Question 6
When would you use a bar chart instead of a pie chart?


When comparing the frequency of different categories in a dataset



 When showing the relationship between two numerical variables



When visualizing the correlations



When representing trends or changes over time


1 point
7.
Question 7
When would you use a scatter plot instead of a line chart?


When comparing the frequency of different categories in a dataset



When visualizing the distribution of a categorical variable



When displaying the relationship between two numerical variables



When representing trends or changes over time


1 point
8.
Question 8
Which of the following is a cloud-based spreadsheet application suitable for collaborative data visualization?


Both A and B



Google Sheets



None of the above



Microsoft Excel


1 point
9.
Question 9
What is a major advantage of using Google Sheets over Excel for data visualization?


Google Sheets offers more advanced chart types.



Google Sheets allows real-time collaboration among multiple users.



Google Sheets is a one-time purchase, while Excel requires a subscription.



Google Sheets has a more extensive set of formulas and functions.


1 point
10.
Question 10
Which of the following is NOT a suitable format for importing data into Excel or Google Sheets for visualization?


CSV (Comma Separated Values) file



PDF (Portable Document Format)



Excel (.xlsx) file



TSV (Tab Separated Values) file


1 point