Cleaning and analyzing hotel data to extract the reasons why customers cancel their reservations and provide a clear summary of the results.
You get your data organized, removing duplication, dealing with missing values, and simplifying results extraction that helps you make better decisions.
Clean data file up to 5000 rows and 10 columns
What you will receive
Results file (Excel/CSV)
An organized file containing data after it has been completely cleaned.
Code notebook (ipynb)
The Python code (Jupyter Notebook) is clearly organized and explained, including steps for importing and cleaning data.