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data-analytics-projects's Introduction

Data Analytics Projects

TO DO

Phase 2 : Shiny Application

Instruction list

  • Write a shiny app with a Readme.md
  • Deploy the app on the local server
  • Share server and ui codes on github
  • Write a 5 slides pitch using RMD presentation.
  • Add the presentation in the repo

App features

  • Some form of input (widget: textbox, radio button, checkbox, ...)
  • Some operation on the ui input in server.R
  • Reactive output displayed as a result of server calculations
  • User friendly
  • Shiny doc only

Remote repo organisation

  1. App directory (Shiny)
  2. Presentation directory
  3. Scripts directory (includes all other types of scripts such as the preprocessing scipt)

App Organisation

Sketch

Phase 1 : Core Analysis

Part 1

  • Find the "average availability over 30 days" of listings per each city.
  • Find the "average revenue of over 30 days" of listings per each city.
  • Compare the distribution of estimated availability for the next 30 days of listings per each city.
  • Compare the distribution of estimated revenue for the next 30 days of listings per each city.
  • Compare the distribution of estimated revenue for the next 30 days of listings per each city & for each house size (# of bedrooms). --> remove NaN
  • Compare the distribution of estimated revenue for the next 30 days of listings per each city & for each room type (room_type). --> élargir les viz

Part 2

For each city :

  • What is the proportion of each room type?
  • What is the proportion of each house size (# of bedroom)?
  • What is the proportion of each neighborhood?
  • What is the average availability over the next 30 days for each room type / house size / neighborhood? -> Metric
  • What is the average revenue over the next 30 days for each room type / house size / neighborhood? -> Metric
  • What is the distribution of availability over the next 30 days for each room type / house size / neighborhood? -> Distrib plot
  • What is the distribution of revenue over the next 30 days for each room type / house size / neighborhood? -> Distrib plot

Bonus :

For each city :

  • Fetch the price of squaremeter in each city : fixed cost
  • Fetch the price of the electricity and water in each city : variable cost
  • Compute the breakeven point in days and in € : Fixed Cost / (Income-variable cost)

data-analytics-projects's People

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