👉 Poll computing involves the process of designing, implementing, and analyzing surveys or polls to gather quantitative data from a population. This computational task includes formulating the survey questions, selecting the appropriate sampling method to ensure representativeness, collecting responses via various channels (online, phone, in-person), and then processing the data to calculate frequencies, proportions, and statistical measures. Advanced techniques like weighting adjustments and error estimation are often applied to account for potential biases and improve the accuracy of the results. The ultimate goal is to produce reliable, valid insights that can inform decision-making in fields such as market research, public opinion analysis, and social sciences.