How do you handle missing or incomplete data during analysis, and what impact can it have on your results?
What role do statistical tests play in data analysis, and how do you determine which test to apply to a given data set?
**What are the key steps in the data analysis process, and why is each step important?
2. **How can exploratory data analysis (EDA) help in understanding the underlying patterns in a dataset?
3. **What are some common statistical methods used in data analysis, and how do you determine which method to use for a specific dataset?
4. **How do you handle missing or incomplete data in a dataset before analysis?
5. **What tools and technologies are commonly used in data analysis, and how do they differ in terms of capabilities and applications?
**What are the key steps involved in the data analysis process, and how do they contribute to effective decision-making?
2. **How can data visualization techniques enhance the interpretation and communication of data analysis results to stakeholders?
3. **What are the common challenges faced during data cleaning and preprocessing, and what strategies can be employed to overcome them?
