![]() After that, print in the console a preview of the data, just to have a look at the variables and features involved. CSV file that has to be located in your working directory, utilizing the Pandas’s function read_csv. Proceed with the obtention of the data included in the. # Imports import pandas as pd import matplotlib.pyplot as plt import seaborn as sns We’ll begin to work by importing the necessary libraries. Rental Recommendation for the patient readers. Which are the most popular locations to rent a lodge?į. Differentiate prices among available room types.Į. What’s the price distribution and what’s the range of fair prices available?ĭ. How are rentals distributed among the five boroughs of New York?Ĭ. What proportion of the rentals correspond to each room type?ī. ![]() Data-Exploratory Analysisīefore we jump on straight to data-cleaning and transformation of data, let’s set the premises to be analyzed:Ī. To process this information easily we’re going to use Pandas, the Python library for data manipulation and analysis that offers data structures and operations for manipulating numerical tables and time series. The first step before analyzing a dataset is to preview the information it contains. The dataset we’re going to analyze can be obtained in my GitHub account. The company has been a pioneer in establishing Homestay as a popular form of hospitality and lodging whereby visitors share a residence with a local of the city to which they are traveling and a varying length of stay to be pre-arranged. It has emerged as a dominant player in the online-rental marketplace industry as tourists and business travelers, among others, choose it as a means of renting rooms, apartments, or any available for homestay residence. From a data-creation standpoint, the company has generated enormous amounts of data from the cities in which it operates, such as reviews from users, location’s descriptions, and rental statistics. Airbnb is a San Francisco-based company with presence in more that 81,000 cities worldwide, with more than 6 million listings of rentals available.
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