course-dprep/airbnb-price-calculator
A workflow that estimates Airbnb pricing and predict the rental properties annual revenue based on the characteristics of the Airbnb.
R
Issues
- 0
use docker
#38 opened by jesperkrauth - 0
- 1
separate the workflow for shiny script
#37 opened by ludoivca - 0
structure the repository
#6 opened by Patrickdeg - 1
Add a single script with all packages used
#25 opened by ludoivca - 0
- 0
fix the pandoc error
#39 opened by Patrickdeg - 0
clean up makefiles
#41 opened by jesperkrauth - 1
stitch the code chunks together in a makefile that runs the entire project pipeline automatically after issuing the `make` command
#12 opened by Patrickdeg - 0
- 0
create RMarkdown reports for the raw data
#8 opened by Patrickdeg - 0
test & debug on multiple operating systems
#35 opened by jesperkrauth - 0
- 0
Deploy the results in the app
#29 opened by ludoivca - 0
develop UI of app
#15 opened by hannesdatta - 0
read up on shinyapp
#32 opened by Patrickdeg - 0
enrich the data by an analysis (regression, text analysis (textblob), ..), the results are deployed in a pdf or other ways (app).
#10 opened by Patrickdeg - 0
Regression analysis
#27 opened by ludoivca - 0
figure out how to run the assumptions
#30 opened by Patrickdeg - 0
Have a make file
#28 opened by ludoivca - 0
Data collection READ.ME
#19 opened by casrooij - 0
- 0
Merge the different datasets
#23 opened by Patrickdeg - 0
Delete the variables we don't use
#24 opened by Patrickdeg - 0
Find Airbnb hosts
#2 opened by Patrickdeg - 0
- 1
discuss what characteristics of the airbnbs to take into account for the project.
#13 opened by Patrickdeg - 0
- 0
- 2
Discuss Data exploration R vs Python
#17 opened by casrooij - 0
writing the research motivation
#5 opened by Patrickdeg - 0
formulate the research question
#3 opened by Patrickdeg - 0
formulate a research motivation
#4 opened by Patrickdeg