What Questions a Data Analyst or a Data Scientist should Solve While Exploring a Dataset?

• To explore your data, you can ask questions from the dataset to understand how you should prepare your data to train machine learning models or gather insights from the data to add value to an organization.

• Here are some of the questions you should always ask about your data when working on a data science project:

1. Is the dataset skewed towards a range of values?

2. Are there any missing values in the dataset? If yes, what approach you should choose to fill the missing values?

3. Are there any outliers in the data? If yes, then how you will handle those outliers?

4. What approach you should use to rescale the data?

5. How to handle the long tail of categorical features?