I have a market research based task analyzing the results from an online survey with over 600 responses. There are less than 30 questions on the survey and I am interested in both a descriptive and relational analysis of the results.
The survey includes question logic on a number of questions which will have to be accounted for in the analysis. The logic determines which subsequent questions are shown to the user, so the pathway for each participant will have to be part of the descriptive analysis. Descriptive analysis of the data, on a per question basis, with simple charts is the starting point.
The relational analysis, which controls for demographic and behavioral factors will require different analytical insights and is the main part of the task. Comparing responses by City, Age, Revenue, Knowledge, Years in Business, and Business category are some of the comparisons I’d want to see in the analysis.
In addition, the survey response data (which includes zip codes) should be reviewed in connection to an external, zip code level data (tables are included pr can be connected via API or table download). This data source ([login to view URL] and [login to view URL] ) both have data in tables as an API, so it can be filtered and accessed easily.
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Hi, I am Ibrahim, and I am a data scientist, I have both experience of more than fifteen years and completed more 150+ projects in Statistics. would love to discuss the rest in chat. Regards, Ibrahim Anjum