Create groups of apps based on similar features. How many groups will you ideally derive? Explain your answer.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Use the dataset found in the link below.
Solve the problem, submit your answer in an MS Word document (include graphs, dendrograms, plots, and anything else you think is necessary to make your case), and create an annotated (commented) R file with your code.

Dataset file attached: googleplaystore.csv.zip

In the dataset, you will find data pertaining to applications from the Google App Store. You are an analyst hired at Google, responsible for understanding different aspects of apps (e.g. deciding the right promotion techniques for these apps).
Your goal is to classify or group the apps into different categories.

Questions:
1) Create groups of apps based on similar features. How many groups will you ideally derive? Explain your answer.

2) Write about the characteristics of the groups by presenting their mean values - think about using visual aids such as bar graphs. Try to obtain the additional pertinent information from the groups, such as total number/range of sales, etc.

3) How will you determine the best technique for sales and for promotions (based on your grouping of applications)

Attachments:

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