Asking Interesting Questions from Data
==2024-12-23
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Theory
Good questions are one that spark a new curiosity towards a given subject. There are many types of questions to ask for a given dataset.
- Descriptive Questions: They describe the properties and metrics in the dataset.
- Diagnostic Questions: They provide answers to why certain phenomenon is occurring.
- Predictive Questions: They predict some feature of the data.
- Prescriptive Questions: They provide the decision making answers for an entity. Those decisions may be the actions to be performed to solve the given business problem.
Examples
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Sales Data
Dataset Description: A dataset that includes information such as sales date, product name, sales amount, customer demographics, and region.
Relevant Questions:
- “What are the top-selling products in each region?”
- “Can we predict which products will have the highest sales next year?”
- “How can we adjust marketing efforts to boost sales in underperforming regions?”
-
Social Media Data
Dataset Description: Information about user engagement on social media, including likes, shares, comments, and post categories.
Relevant Questions:
- “Which type of posts generate the most engagement?”
- “Can we forecast the engagement level of a new post based on past trends?”
- “How should we tailor our content strategy to maximize user engagement?”