Udacity Data Scientist Nanodegree

Project 1 : Write A Data Science Blog Post

Table of content

I. Project Motivation
II. Files in the repository
III. Summary
IV. Acknowledgments

I. Project Motivation

I was interested to analyze this data set to find out some insight about AirBnB services. In this project I tried to answer the following questions using Seattle Airbnb data:

Question 1: What is the busiest day of the week and month?

Question 2: The top 5 property types of AirBnB have the most in Seattle?

Question 3: What was the monthly revenue of Airbnb in Seattle in 2016?

II. Files in the repository

• Project Writing a Data Scientist Blog Post.ipynb: Notebook contains the data analysis.
• listings.csv: including full descriptions and average review score.
• calendar.csv: including listing id and the price and availability for that day.
• graph: store chart images.

III. Summary

Some library using in this project:

• numpy
• pandas
• matplotlib
• seaborn The result of this project I was post in Medium.

IV. Acknowledgments

This dataset describes the listing activity of homestays in Seattle, WA.It is part of Airbnb Inside, and the original source can be found here.