In this project, we took raw data from the Inside Airbnb Portal for Mexico City and applied it to analyze missing data, outliers, and extract insights by analyzing the distribution of variable values.
The analysis is intended to show that even in a data set with limited inputs and columns, ideal only for a superficial analysis, we can extract valuable insights that give us understanding of the significance of the data and assist in decision-making.
The Notebook used for the analisys can be found here: Analyzing Airbnb Data - Mexico City.ipynb
You also may read my article published on Medium: Analyzing Airbnb Data- Mexico City
Python
Data Analysis
Correlation
Outliers
Missing Values
Exploratory Data Analisys
Insights
pandas
matplotlib
numpy
seaborn
missingno
Linkedin: @MatFriedmann
Medium: @MatFriedmann