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Workshop on using tsibble to analyze temporal data by Kabir Sandrolini & Maren Rieker, students at the Hertie School, Berlin.

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17-KabirSandrolini-Temporal-data-with-tsibble

Workshop presentation by Kabir Sandrolini & Maren Rieker on analyzing temporal data in R using tsibble.

Summary

This repository provides materials for a session that is part of the I2DS Tools for Data Science workshop run at the Hertie School, Berlin in November 2021. The student-run workshop is part of the course Introduction to Data Science taught by Simon Munzert at the Hertie School, Berlin, in Fall 2021.

Session contents

  • Slides introducing and motivating tsibble
  • Interactive exercise walking through the basics of cleaning, wrangling, and visualizing temporal data using tsibble.

Main learning objectives

  • Understand when it is appropriate to use tsibble, and why it is a powerful upgrade over previous structures
  • Manipulate a tibble/dataframe to tsibble
  • Tidy your tsibble, checking for duplicates and gaps
  • Perform basic visualizations with your fancy tidy tsibble

Instructors

  • Kabir Sandrolini, Hertie School MDS 2023
  • Maren Rieker, Hertie School MDS 2023

Further resources

License

The material in this repository is made available under the MIT license.

Statement of contributions

  • Kabir worked mainly on the theoretical slides and lightning talk, contributing some of the visuals in the interactive session.
  • Maren mainly designed the interactive session, finding the data, tidying it, and preparing the exercises.

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Workshop on using tsibble to analyze temporal data by Kabir Sandrolini & Maren Rieker, students at the Hertie School, Berlin.

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