Seattle_Airbnb_Open_Data_Analysis

Seattle Airbnb Open Data Analys

Context

Seattle Airbnb Open Data Analys Project is one of the several other practice projects carried out by Udacity as a part of the Data Science Nano Degree(DSND) program.

Data Description：

since 2008,guests and hosts have used Airbnb to travel in a more unique, personalized way. As part of the Airbnb Inside initiative, this dataset describes the listing activity of homestays in Seattle, WA.

The following Airbnb activity is included in this Seattle dataset:

• Listings, including full descriptions and average review score
• Reviews, including unique id for each reviewer and detailed comments
• Calendar, including listing id and the price and availability for that day

Analiys

• Install We can install Anaconda distribution for Python 3.7. Anaconda Distribution is the tool of choice contain the pandas numpy collections datetime sklearn matplotlib seaborn etc.

• Project Motivation We can analyze the data of Airbnb accommodation information in Seattle,here are 3 intresting questions:

  1. Can you describe the vibe of each Seattle neighborhood using listing descriptions?
  2. What are the busiest times of the year to visit Seattle? By how much do prices spike?
  3. Is there a general upward trend of both new Airbnb listings and total Airbnb visitors to Seattle?

• File Descriptions seattle_airbnb_analysis.ipynb is the main code write by Jupyter notebook.

  These dataset are from kaggle: listings.csv reviews.csv listings.csv https://www.kaggle.com/airbnb/seattle

Result

the result output can be found in the blog link: https://helloxms.github.io there are more details at my blog page.