Data Storytelling Class 12 Notes, Stories have been a part of our lives since ancient times. Every story has a theme or topic. There is always a storyteller and a listener, and sometimes the listeners can be a group of people.
Data Storytelling Class 12 Notes
Introduction to Storytelling
Stories have been a part of our lives since ancient times. Every story has a theme or topic. There is always a storyteller and a listener, and sometimes the listeners can be a group of people. According to the dictionary, a ‘story’ is a ‘factual or fictional narrative,’ meaning it tells about an event that can be true or made up, in a way that the listener experiences or learns something. Stories can be used to share information, experiences, or viewpoints.
What are the benefits of stories?
Stories have a strong impact on human minds as they motivate, ignite, and change our perspectives. The process of telling a story narratively is known as Storytelling. It encourages people to make use of their imagination and creativity to express themselve.
Why is storytelling a powerful tool?
Storytelling is a potent tool for several reasons, such as –
- It generates interest, captivates audiences, and draws them to the narrative.
- It captures our attention, keeping us engaged and focused.
- It communicates meaning, making complex ideas more accessible and understandable.
- It inspires us, evokes emotions, and motivates us to take action.
- Characters: The characters are the people or animals or some things or objects which are featured in a story. They perform the actions and drive the story.
- Plot/setting: Setting refers to the time or location in which the story takes place. Plot refers to the sequence of the events of the story.
- Conflict: It is the problem or the situation the characters are dealing with. It drives the story forward which makes the story engaging and a key element for the characters.
- Resolution: It is the end of the story where the characters arrive at a particular situation to resolve the conflict. It is the stage after climax which is the peak or height of any story.
- Insights: The ability to have a clear, deep, and sometimes sudden understanding of a complicated problem or situation.
Introduction to Data Storytelling
Data storytelling is the art and practice of translating complex data and analytics into a compelling narrative that is easily understandable and relatable to various audiences.
Data, graphics, and narrative are the three main components of data storytelling. 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.
Need for Data Storytelling
Many companies and brands are using data storytelling as an effective method of conveying their message and gaining client loyalty. Data storytelling makes complex data more accessible and understandable, allowing audiences or stakeholders to grasp insights easily. Engaging narratives and compelling visuals keep audiences
engaged, increasing retention and attention. Storytelling with data empowers better decision-making by presenting evidence-based insights.
Examples of some famous brand Data Stories
Why has Data Storytelling become very powerful now?
In today’s business context, data storytelling becomes so critical due to these characteristics:
- It makes the insights and key findings memorable to the audience.
- It is a persuasive way of communicating key insights and findings to both business stakeholders and technical stakeholders.
- It is also important that the story is engaging to the audience.
Essential elements of Data Storytelling
The three key elements of Data Storytelling are:
- Data
- Narrative
- Visuals
- Data: Basic facts or raw facts about any entity is known as Data. Data is the primary building block of every data story. It serves as the foundation for the narrative and visual elements of your story.
- Narrative: A well-defined narrative allows audience to understand the significance of insights and how they relate to the broader context of the data analysis.
- Visuals: Visuals refer to the pictorial representations of data using various graphs, charts, and diagrams. They serve as a scene of the data presented in a graphical format, helping to convey complex information more clearly and effectively.
How are these three interlinked with each other?
- When we explain data observations, it helps the audience understand how the data behaves in different situations and why certain insights are generated.
- Visualizing data through charts and graphs allows the audience or stakeholders to see the data from a different perspective, helping them analyse and make the right decisions.
- Combining narrative and visuals can engage or even entertain an audience.
Narrative structure of a data story
In the context of data storytelling, Freytag’s Pyramid can be used as a framework to structure the presentation of data and insights in a way that captivates the audience’s attention and guides them through the narrative journey.
- Introduction: The beginning of the story when the setting is established, and main characters are introduced. It provides the audience with ample background information to understand what is going to happen.
- Rising action: The series of events that build up to the climax of the story.
- Climax: The most intense or important point within the story. It is often an event in which the fortune of the protagonist turns for the better or worse in the story.
- Falling action: The rest of the events that unravel after the main conflict has occurred, but before the final outcome is decided.
- Conclusion: The conclusion of the story where all of the conflicts are resolved and outstanding details are explained.
Visualizations for different data
Data visualization is a powerful way to show context. Data charts can reveal crucial deviations or affinities in the data that can lead to insights.
Steps to create a story through data
If the data collected is represented in just a series of graphs and charts, it will not serve the purpose to any organization. It should be communicated well with proper narrative, with proper context and meaning, relevance and clarity. The narrative should be able to take the focus of the audience to the correct spot and not miss out on important facts. To find compelling stories in data sets, the following steps are to be followed:
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