What are some common analytical problems encountered in data analysis, and what are effective solutions to address these challenges?

Common analytical problems encountered in data analysis include missing data, outliers, and biased samples. Effective solutions to address these challenges include imputation techniques for missing data, robust statistical methods for handling outliers, and careful selection of sampling methods to reduce bias. Additionally, using data visualization tools can help identify patterns and trends in the data, while conducting sensitivity analyses can test the robustness of the results.