List of top Artificial Intelligence Questions on data storytelling

Define the terms ‘Data’ and ‘Data Visualization’. Explain the uses of the ‘Heat Map’ and ‘Candlestick Chart’ visualization types.
With reference to the steps of Data Science Methodology, define the process of data collection. Also differentiate between primary and secondary data sources of data collection with suitable examples.
What is the main purpose of evaluation in an AI project cycle?
Which key component in Data Storytelling specifically addresses the need to “clarify the sources of the data, methods used for analysis, and any limitations or biases”?
The primary purpose of Prescriptive Analytics is to:

Which of the following is a better data story? Give reasons.

 

How do good stories emerge?

List down the steps that can assist in finding compelling stories in the data sets.
Write any two factors that make storytelling a powerful and integral part of indigenous culture.

Match the following:

The narrative is accompanied with ............., to explain why a particular insight has been generated.
............. is a structured approach for communicating insights drawn from data, combined with visuals and narratives.
What is one of the long-term benefits of data storytelling?
Why is narrative important in data storytelling?
What are the three key elements of data storytelling?