Webinar “Exploring Octave package dataframe”

Topic: “Exploring Octave package dataframe”
Speaker: Ge Baolai, SHARCNET

Webinar link: SN-Seminars Vidyo room

A dataframe can be thought as a table containing variables in columns and values in rows. Data sets in CSV files are common examples. Dataframes are different from arrays or matrices in that they can contain columns of data of different types. Dataframes are commonly used in the popular statistical language R and widely used in Python. It was added to Matlab since 2013 and the concept was introduced to the Matlab alternative Octave as well. Support for dataframes involves the support for accessing data in files and operations that are convenient for tables. In this seminar, we will explore some of the features of Octave package dataframes.

SHARCNET account is not required to attend the webinar. No registration is required.

Need help attending a webinar? See the SHARCNET Help Wiki.

No tickets available.