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Create a Shiny application that allows to explore the AirBnB data (Paris data). A minimal application

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

1 Objectives

The examination will be in two parts:

1.1 Shiny application

Create a Shiny application that allows to explore the AirBnB data (Paris data). A minimal application

should contains:

• Relationship between prices and apartment features,

• Number of apartments per owner,

• Renting price per city quarter (“arrondissements”),

• Visit frequency of the different quarters according to time.

1.2 R markdown

The application should be accompanied by a R markdown document explaining the different step

of the analysis and providing some personal scientific comments on the data, based on statistical

results.

2 Data

The data are available at https://plmbox.math.cnrs.fr/f/d07fc67d42514fe8a7da/?dl=1.

3 Exam instructions

The final submission should contain:

• the Rmd version of the R markdown file, including all R codes,

• a (compiled) HTML version of the R markdown file, including all R codes,

• the Shiny application (app.R).

 

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