This repository contains work on Project 1 for Data Science Nanodegree. Link to Repo.
a) Anaconda version 1.9.12 b) Python 3 c) Libraries used: pandas, numpy, matplotlib, seaborn, sklearn, statsmodels, wordcloud, warnings
This project is completled as a part of Nanodegree program. It involved choosing a dataset, analysing it to answer business/realife questions and writing a blog post to discuss the findings. Airbnb Seattle dataset is used to analyse the availability and pricing of properties which can help in planning a trip to Seattle.
a) AirBnB (Seattle).ipynb: This is the Jupyter Notebook that contains the analyses; setup, data cleaning and data visualization. b) seattle: This folder contains the datasets; calendar.csv, listings.csv, reviews.csv c) BnB-ing_in_Seattle.pdf: This is a PDF version of the medium blog post which discusses the findings of the analyses.
To use the Jupyter Notebook, download the AirBnB (Seattle).ipynb file and the seattle folder for the datasets in the same location.
Author: Shreya Surana Acknowledgements: Inside Airbnb, 2018 : http://insideairbnb.com/seattle/ Best Choice Reviews, 2019: www.bestchoicereviews.org TripSavy, 2019: https://www.tripsavvy.com/the-top-neighborhoods-to-explore-in-seattle-4178407 https://www.kaggle.com/airbnb/seattle