Investigating the Utility of Graphics in Teaching Data Wrangling
| Autor: | Lovisa Sundin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Focus (computing)
SQL Relation (database) Computer science 05 social sciences 050301 education 050801 communication & media studies Python (programming language) Outcome (game theory) Data science Domain (software engineering) 0508 media and communications Data wrangling Graphics 0503 education computer computer.programming_language |
| Zdroj: | ICER |
| DOI: | 10.1145/3372782.3407111 |
| Popis: | Programming is increasingly being taught in statistics modules across various departments, where the focus is on wrangling data in languages like Python and R. Graphical aids as applied to this domain is an empirically untried approach. My research investigates their utility in relation to several subject characteristics and outcome variables. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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