Women Live Longer?
Setting up R Packages
Introduction
This dataset pertains to spending on gifts by various people for Valentine’s Day. This was part of the TidyTuesday Project for February 2024!
Read the Data
Rows: 18,408
Columns: 7
$ Entity <chr> "…
$ Code <chr> "…
$ Year <dbl> 2…
$ `Life expectancy - Sex: female - Age: at birth - Variant: estimates` <dbl> N…
$ `Life expectancy - Sex: male - Age: at birth - Variant: estimates` <dbl> N…
$ `Population - Sex: all - Age: all - Variant: estimates` <dbl> N…
$ Continent <chr> "…
Data Dictionary
Quantitative Variables
Write in.
Qualitative Variables
Write in.
Observations
Write in.
Analyse/Transform the Data
Research Question
Note
Write in!! Look at the Chart!
Plot the Data
Task and Discussion
- Complete the Data Dictionary.
- Select and Transform the variables as shown.
- Create the graphs shown and discuss the following questions:
- Identify the type of charts
- Identify the variables used for various geometrical aspects (x, y, fill…). Name the variables appropriately.
- What research activity might have been carried out to obtain the data graphed here? Provide some details.
- What pre-processing of the data was required to create the chart?
- What might be the Hypothesis / Research Question, based on the Chart?
- What does the dashed line in the chart represent?
- Write a 2-line story based on the chart, describing your inference/surprise.