Introduction to Dates Manipulation
Explore the essentials of date manipulation in Pandas to analyze and extract insights from time-based data. Learn to convert columns to datetime, access date components, generate date ranges, and resample data. This lesson prepares you to answer interview questions on identifying patterns and trends in dates for various datasets.
We'll cover the following...
We'll cover the following...
Concept
Date parsing and manipulation is a cornerstone of Data Analysis. Fortunately for you, Pandas has great utility functions allowing you to easily analyze date/time data.
Travel dataset
Idea
If you have the dates of travel of your clients, there are types of analysis you can do:
- You can find which months or seasons your clients prefer to travel during.