/Boston_Airbnb_simple

A simple analysis of the boston airbnb housing data which was used for a medium blogpost

Primary LanguageJupyter Notebook

Boston Airbnb analysis

A simple analysis of the boston airbnb housing data which was used for a medium blogpost

The following libaries were used in this project:

Dataexploration and visualization

  • numpy
  • pandas
  • matplotlib
  • seaborn
  • re
  • pandas_profiling

tqdm for visualizing the apply process in the notebook.

  • tqdm

the map was created with folium and the heatmap plugin

  • folium

Heatmap of Bostonhousingprice

for analyzing the calendar data

  • datetime
  • calendar -> day name e.g monday,tuesday, etc.
  • holidays -> to get us holidays like laborday, columbus day, independence day.

sklearn and xgboost for modeling

  • LinearRegression
  • train_test_split
  • r2_score, mean_squared_error
  • tree
  • xgboost

link to blogpost: https://medium.com/@lukas.forst48_45317/a-short-step-by-step-guide-on-how-to-approach-a-dataset-333b9f56bebc

Data can be downloaded from http://insideairbnb.com/get-the-data.html