According to a consumer sentiment report, buyers are likely to buy cheaper brands or lower variants in discretionary categories and buy expensive brands for staples and household care. This report is based on responses from about 1,300 respondents in metros, tier 1 & tier 2 cities. As a data analyst if you have to organize this data to be used by your company for business analysis in a relational database tables with rows and columns.How will you do it with taking into account what different tables you will form ,different attributes or field require,key field in different tables etc.
According to a consumer sentiment report, buyers are likely to buy cheaper brands or lower variants in discretionary categories and buy expensive brands for staples and household care. This report is based on responses from about 1,300 respondents in metros, tier 1 & tier 2 cities. As a data analyst if you have to organize this data to be used by your company for business analysis in a relational database tables with rows and columns.How will you do it with taking into account what different tables you will form ,different attributes or field require,key field in different tables etc.
Chapter1A: Appendix: Working With Graphs
Section: Chapter Questions
Problem 1E
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. According to a consumer sentiment report, buyers are likely to buy cheaper brands or lower variants in discretionary categories and buy expensive brands for staples and household care. This report is based on responses from about 1,300 respondents in metros, tier 1 & tier 2 cities.
As a data analyst if you have to organize this data to be used by your company for business analysis in a relational database tables with rows and columns.How will you do it with taking into account what different tables you will form ,different attributes or field require,key field in different tables etc.
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