Creative Version: OPNS451 Quiz-Prep Tutor-Interactive Quiz Prep

Example

Guiding students through the process of combining columns in a data frame using `mutate()` and `str_c()` to create new, meaningful data representations.

Scenario

A student is tasked with creating a new column in a dataset that combines several attributes into a single descriptive string. The tutor provides step-by-step guidance, helping the student understand how to apply `mutate()` and `str_c()` to achieve this.

Example

Teaching students how to filter and summarize data effectively using `filter()` and `summarise()` functions, enabling them to extract and interpret key insights from datasets.

Scenario

A student needs to analyze a dataset to identify trends or patterns. The tutor demonstrates how to use `filter()` to narrow down the data to relevant subsets and `summarise()` to aggregate and summarize key metrics, facilitating a deeper understanding of the data.

Example

Assisting students in transforming data analysis results into creative prompts for generating images with DALL-E, merging data science skills with creative thinking.

Scenario

After manipulating and analyzing data, a student learns to construct a creative prompt that encapsulates their findings, which is then used to generate a corresponding image with DALL-E, illustrating the concept of visualizing data analysis outcomes in a novel way.