Differences and connections between questionnaire survey method and big data method

Questionnaire survey and big data method are two different data collection and analysis methods, and their differences and connections are as follows.

1, the difference is the data source. The questionnaire survey method is to investigate a specific group of people through artificial design, and the data obtained is qualitative or quantitative data, while the big data method collects a large number of structured and unstructured data through automated means such as the Internet and sensors.

2. Data volume: the data volume obtained by questionnaire survey method is relatively small, which is suitable for small sample research, while the data volume obtained by big data method is very large, covering national and even global data, which is suitable for large sample research.

3. Data analysis: The questionnaire survey method needs to clean, classify and statistically analyze the obtained data, which requires manual intervention, while the big data method uses machine learning and other technologies to automatically process and analyze the data to reduce manual intervention.

4. Contact is data analysis. Both the questionnaire survey method and the big data method need to analyze and process the obtained data, so as to obtain useful information and conclusions.

5. Data application, questionnaire survey and big data methods can be applied to market research, social investigation, medical research and other fields to provide reference and support for decision-making.