Project Summary: Airbnb Data Analysis

Since 2008, visitors and hosts have utilized Airbnb to expand upon traveling possibilities and present a more extraordinary, customized method of encountering the world. Today, Airbnb became a one of a kind service that is utilized and perceived by the entire world. Information examination and data analysis on a large number of listings given through Airbnb is an urgent factor for the company. These millions of listings create a ton of information - information that can be investigated and utilized for security, business choices, understanding of customers' and providers' (hosts) behavior and performance on the platform, guiding marketing initiatives, implementation of innovative additional services and much more.

Welcome to my blog post. I will be using this space to connect with the readers by providing relevant and interesting information regarding how to analyze a data from the web and reach insightful conclusions. Think of it as an ongoing conversation where you can comment, reply, and even try out some of the methods that I will show throughout my blog post.

Main Topics

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What you need in your journey to Data Analytics?

Talk about what you need to get started in the journey towards Data Analytics

Get the Data set

Show the different types of websites where you can find reliable datasets and how to save it to your file

Import necessary libraries

Present the function of necessary libraries for this project and display its application towards our data project

Read CSV File through Python

What CSV files are and different methods of implementing them in Python

Clean data

Presenting the types of way an analyst can clean a data and tidying up the data by applying lines of code

Explore and visualize data

Types of ways data can be visualized through Python (Matplotlib, Numpy, Pandas, Seaborn)

Make graphs and analyze

Analyzing the graph that was made and reach a conclusion by trying to figure out a relationship