Storyrelling Through Data Class 12 Questions and Answers - #NCSOLVE 📚

These Class 12 AI Important Questions Chapter 3 Storyrelling Through Data Class 12 Important Questions and Answers NCERT Solutions Pdf help in building a strong foundation in artificial intelligence.

Storyrelling Through Data Class 12 Important Questions

Class 12 AI Storyrelling Through Data Important Questions

Important Questions of Storyrelling Through Data Class 12 – Class 12 Storyrelling Through Data Important Questions

Storyrelling Through Data Class 12 Very Short Answer Type Questions

Question 1.
What is data storytelling?
Answer:
Data story telling is the way to which a data can be explained and interpreted effectively and then narrated like a story with data.

Question 2
What are the key components of data story telling?
Answer:
As data story telling is the effective communication ability to draw insight from a data set using narrative and visualization. Thus three components to data story telling are data narrative and visualization.

Question 3.
Is data story telling same as data visualization?
Answer:
Data story telling goes beyond data visualization as it requires communicators to offer a larger, holistic, view of their message.

Question 4
What are the types of data stories?
Answer:
There are various types of data stories : Reporting, explanatory and predictive type stories.

Question 5
What is reporting type data story?
Answer:
In a reporting type data story various analytical tools are used to display past, present and future data to efficiently track and optimize the performance of a company.

Question 6
What are the benefits of story telling?
Answer:
Story telling is not a new concept rather we were use to it from the ancient days of cave paintings. No doubt story telling methods have come a long way since then. As the power of story remains and the effects the listeners mind effectively.

Question 7
How to craft a data story?
Answer:
Like other stories data story telling also uses the same narrative elements i.e. characters setting, conflicts and resolutions.

Question 8
What elements of data storytelling, when merged together can engage the audience?
Answer:
Narrative and Visual

Question 9
What is the purpose of storytelling?
Answer:
Story telling plays a critical role in building a brand. It helps in in shaping how pupil view you and enable consumers to begin a forging connections with you and your company, in a powerful and compelling fashion.

Question 10.
Write some examples of data story telling?
Answer:
Given below the list of brands that successfully utilize data storytelling to create engaging, memorable, and lucrative marketing campaigns.

• Google
• John Hopkins University
• National Geographic
• Refinery29
• Spotify
• Whirlpool

Storyrelling Through Data Class 12 Short Answer Type Questions

Question 1
Identify the below elements used to make a compelling data story.
Answer:
Visualization & Data

Question 2
Name any two key elements of data storytelling?
Answer:

1. Visuals
2. Data
3. Narrative

Question 3
Analyse the data and represent it in tabular form.

Answer:

DATE	CAPACITY	DEMAND
2019-04	29,263	46,193
2019-05	28,037	49,131
2019-06	21,596	50,124
2019-07	25,895	48,850
2019-08	25,813	47,602
2019-09	22,427	43,697
2019-10	23,605	41,058
2019-11	24,263	37,364
2019-12	24,243	34,364

Question 3
What are the steps involved in telling an effective data story?
Answer:

1. Understanding the audience
2. Choosing the right data and visualizations
3. Drawing attention to key information
4. Developing a narrative
5. Engaging your audience

Question 3.
What are the two possible graphs that can be used to represent this data?

Year	Attrition Rate
2019	9.1 %
2018	8.2 %
2017	4.5 %
2016	12.3 %
2015	5.6 %
2014	15.1 %
2013	7.0 %
2012	1.0 %
2011	2.0 %
2010	9.7 %
AVG	7.5 %

Answer:
Bar Graph, Line Graph

Question 4.
What is the importance of a narrative in a story?
Answer:
Statistic and numerical data are less likely to spur action than stories. As a result, when recounted as a narrative, it eliminates ambiguity, links information to context, and describes a particular interpretation, effectively conveying the key ideas.

Question 5.
Imagine that you want to create your first app. Create a list of questions you would develop to decompose this task.
Answer:
To decompose this task, you would need to know the answer to a series of smaller problems: what kind of app you want to create?

• what will your app will look like?
• who is the target audience for your app?
• what will the graphics will look like?
• what audio will you include?

Question 6.
What are the key elements require to craft a compelling data story?
Answer:
To craft a narrative story following four key elements are required:
Characters: Here the characters means the players and the stock holders including customers also and the internal team members. Although they are not part of presentations but they define the key players before hand.

Settings: Here a data visualization will show the decline across the audience type and highlight the largest drop in users.

Conflict: It is the viral social media post that highlighted companies negative impact on the environment and stops customers to use your products. Here is also visualization used.

Resolution: It is proposed solutions. On the basis of this a long term goal is presented for sustainable manufacturing practices. If there is not a conflict in the data story. Then you can skip this element.

Question 7.
Write the diagrammatical representations of the key elements involved in data story telling.
Answer:

Storyrelling Through Data Class 12 Long Answer Type Questions

Question 1.
Visualize the following data on bar graph
Meals served over time

Campaign Year	Meals Served
2010	40,139
2011	1,27,020
2012	1,68,193
2013	1,53,115
2014	2,02,102
2015	2,32,897
2016	2,77,912
2017	2,05,350
2018	2,33,389
2019	2,32,797

Answer:
Meals served over time

Question 2.
Why data storytelling has acquired a place of importance?
Answer:

1. It is an effective tool to transmit human experience. Narrative is the way we simplify and make sense of a complex world. It supplies context. insight, interpretation-all the things that make data meaningful, more relevant and interesting.
2. No matter how impressive an analysis, or how high-quality the data, it is not going to compel change unless the people involved understand what is, explained through a story.
3. Stories that incorporate data and analytics are more convincing than those based entirely on anecdotes or personal experience.
4. It helps to standardize communications and spread results.
5. It makes information memorable and easier to retain in the long run.

Question 3.
What is data storytelling? Explain in detail.
Answer:
Data storytelling is a structured approach for communicating insights drawn from data, and invariably involves a combination of three key elements: data, visuals, and narrative. When the narrative is accompanied with data, it helps to explain the audience what’s happening in the data and why a particular insight has been generated.

When visuals are applied to data, they can enlighten the audience to the insights that they wouldn’t perceive without the charts or graphs. Finally, when narrative and visuals are merged together, they can engage or even entertain an audience. When you combine the right visuals and narrative with the right data, you have a data story that can influence and drive change.

Question 4.
Explain how data storytelling can bring about change using a diagram.
Answer:
Data, graphics, and narrative are the three essential components of data storytelling, an organized method for conveying insights gleaned from data. When the story is supported by data, it helps the audience understand what is going on in the data and why a certain insight has been produced.

When applied to data, graphics can reveal insights to the audience that they might not have noticed without the charts or graphs.

Last but not least, when narrative and images are combined, an audience can be entertained. A data story that can impact and motivate change is created when the appropriate graphics and narrative are combined with the appropriate facts.

Question 5.
List the considerations which data scientists have to keep in mind during the testing stage.
Answer:
Considerations: Data validation is crucial because human biases in picking test data might negatively affect the testing phase and because the volume of test data can be substantial, presenting complexity.

Model validation, successful learnability, and algorithm efficacy should all be taken into consideration when your testing team is testing the AI and ML algorithms.

Given that the system may handle sensitive data, regulatory compliance testing and security testing are critical. Performance testing is also essential due to the enormous volume of data.

Question 6.
(a) List the steps of creating an effective data story.
Option A:

(Source: httos://https://ift.tt/3SArWV8)
Answer:
The steps involved in telling an effective data story are given below:

• Understanding the audience
• Choosing the right data and visualizations
• Drawing attention to key information
• Developing a narrative
• Engaging your audience

(b) Which of the following is a better data story? Give reasons.
Option B:

Answer:
Option A is a better data story. Reasons

1. The insight given at the bottom of the visual is giving a clear idea about context which is not there in Option B.
2. Option A visual provides a compelling narrative.

Storyrelling Through Data Class 12 Notes

About story telling: It is the process of presenting fact and narrative to communicate in a way that make something useful to the audience.

Types of stories: There are many types of stories they are

• Factual stories
• Fables and fairy tales
• Stories about History or religious, figures, places etc.
• Purpose of story

Purpose of story: The purpose of the story is to connect pupil or to make them understand irrespective of dialect, home town, heritage or religion etc. It can stimulate imagination and passion and make a sense of connection among the listener and tellers. Stories bring pupil together and creative a sense of community.

Different ways to narrative your story: There are different way one can narrate one’s story using the following ways.

• A written story
• A spoken story
• An audio story
• A digital story

Components that make a good story: The three most essential components that make up a good story is :

• Character
• Conflict
• Resolution

Data story telling: It can be said as a means of delivering a narrative or the art of weaving a coherent story around the numbers that conveys the logic. It is the final part of data analysis.

Steps involved within telling an effective story:

• Recognizing the audience
• Choosing the appropriate data and visualizations
• Highlighting important information
• Creating a narrative
• Keeping your audience interested

Types of data stories:

• Reporting : It can be said as the inferences that are drawn from the data stories.
• Explanatory: These data stories explored the business problems analyse each expect and helps the decision maker to identify the real problem. The story formed helps the audience in understanding the reason behind the problem through data.
• Predictive: This kind of story connects the dot for the current trend being depicted uncovers the underlying pattern and predict the future course of events that may occur.

Need of storytelling in digital: Story telling plays important part in building a brand. It helps in shaping, connecting with the consumer and establish a communication between consumer and the company. Through visualization it is easily conveyed. With storytelling stake holders also can process complex business information and easily presence their data.

Different Examples of data stories:

• Amazon: Amazon through it story boxes revolutionizing packaging. With story boxes they bring the story of the Women entrepreneur, small business, artisans and emerging brand to the market place. When you meet sellers you meet Amazon.
• Google: Google the search engine of the data. Writes a data story each year with their ‘year in search’ videos -two-minute films crafted out of the trending searches of the year showcasing footage of the precious movement.

Steps to create engaging data stories: One must follow the given steps to create a story from data.

• Choosing a relevant context.
• Only authenticated data should be included also insert compelling visuals find out the relationships within the data.

Data types used in making a story:

• Textual content: For visualizing textual data word cloud can be considered.
• Numeric data: A Line or step graph could be used as visual for numeric data.
• Geographical data
• Maps can be used to analyse certain reasons and areas of the data.

Guide lines for data story telling: Use legends wherever require. Carefully choose the colors for the visuals. Avoid mnch detailing on the visuals.

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