Use Time Series Data in R and Python to Understand Change: Lessons

About Time Series Data

Time series data are used to understand changes over time in our environment. For instance, you can collect temperature data over time to track how temperature fluctuates, hourly, daily monthly and even annually. However often working with dates and times in tools like R and Python can be tricky given different date and time formats and time zones. Learn how to work with, clean up and plot time series data in the R programming language in the lessons below. Stay tuned for Python lessons!

Work With Datetime Format in Python - Time Series Data

Python provides a datetime object for storing and working with dates. Learn how you can convert columns in a pandas dataframe containing dates and times as strings into datetime objects for more efficient analysis and plotting.

last updated: 03 Mar 2020

An Overview of the 2013 Colorado Floods

The 2013 flood event caused significant damage throughout the state of Colorado, USA. Learn about what caused the 2013 floods in Colorado and also some of the impacts.

last updated: 16 Mar 2020