Data Analysis and Summary
$30-250 USD
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Data Analysis Palmetto Sudz (Business 1)
Focus on Frequency and Percentages
Analyze the data in Files. Start from page 21 where it says "I would consider using refillable versions of the following products: (Check all that apply)-LaundryDetergent = 1" and do it to the end. This is a business who sells large buckets of laundry detergent.
Explanation: Go through data and dig deep into it. Similar to an SPSS setup where you can pull choices of what particular parts of data you want to target.
Also: Create a promotion plan for Business 1. A startup business that sells 3 and 5-gallon laundry detergent locally South Carolina, USA.
Document Data Summary for Palmetto Sudz (Business 1)
Focus on Frequency and Percentages
Example: AGE and Gender
From 12, the highest of the 33 survey takers said that they wash clothes every week. Most survey takers, 17 of the 33 were between the ages of 26-35 and 7 between the ages of 36-45. There were 18 males and 15 males and most were from the states of NY, NC, IN, and AZ.
Data Analysis Knowledge (Business 2)
Focus on Frequency and Percentages
Explanation: Similar to top. Analyze data this time, but from Excel. GO into detail. Do all of the choices who said yes they would prefer creating their own blends. This business is a coffee shop that wants to be different.
Document Data Summary for Knowledge Perk (Business 2)
Example: Preferred “Brewed coffee,” “Age,” and Gender:”
“Brewed coffee” had 50% of people considering custom blends at 35 participants of the 70. A great age to target in our case would be 25-34 year olds. The percentage of their grouping is 54.3 percent of the total data. Lastly, the gender we should target are females because they were in favor of creating a custom blend at 80% (56 females). While 13 males were in favor being 18.6% of the data.
Data analysis should be in tables that are understandable or in a form one can read easily. The following files are for business 1 and business 2. Business 2 has two files
项目ID： #13512139
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