Lab 4.1

# A tibble: 6 × 32
   year    id ballot   age childs sibs  degree race  sex   region income16 relig
  <dbl> <dbl> <labe> <dbl>  <dbl> <lab> <fct>  <fct> <fct> <fct>  <fct>    <fct>
1  2016     1 1         47      3 2     Bache… White Male  New E… $170000… None 
2  2016     2 2         61      0 3     High … White Male  New E… $50000 … None 
3  2016     3 3         72      2 3     Bache… White Male  New E… $75000 … Cath…
4  2016     4 1         43      4 3     High … White Fema… New E… $170000… Cath…
5  2016     5 3         55      2 2     Gradu… White Fema… New E… $170000… None 
6  2016     6 2         53      2 2     Junio… White Fema… New E… $60000 … None 
# ℹ 20 more variables: marital <fct>, padeg <fct>, madeg <fct>, partyid <fct>,
#   polviews <fct>, happy <fct>, partners <fct>, grass <fct>, zodiac <fct>,
#   pres12 <labelled>, wtssall <dbl>, income_rc <fct>, agegrp <fct>,
#   ageq <fct>, siblings <fct>, kids <fct>, religion <fct>, bigregion <fct>,
#   partners_rc <fct>, obama <dbl>

The data shows that, in general, people have more children as they get older. However, there are also some differences between groups. For example, white women tend to have more children than black women. Additionally, the lines start to level off at around age 40, which suggests that most people have finished having children by that age.

Women tend to have more children than men. This is true for all three racial groups shown in the graph.

White women tend to have more children than black women. This is true at almost all ages.

People tend to have more children as they get older, up to a certain point. The lines on the graph start to level off at around age 40, which suggests that most people have finished having children by that age.

There is a positive correlation between age and number of children for all marital statuses and happiness levels. This means that, on average, people tend to have more children as they get older.


Married couples tend to have more children than never-married, divorced, separated, or widowed individuals. This is true for both happy and not-too-happy individuals.

Happy people tend to have more children than not-too-happy people. This is true for all marital statuses.

The relationship between age and number of children appears to be stronger for married couples than for other marital statuses. This means that the increase in the number of children with age is steeper for married couples than for other groups.

1.Title & Subtitle: Crafting meaningful titles and subtitles is vital for context and guiding interpretation.
2.Faceting Insights: Exploring facet formulas helps dissect and compare relationships within subgroups.
3.Color & Legends: Using distinct colors and legends enhances plot interpretability.
4.Subset Efficiency: Subsetting efficiently excludes missing values, focusing on specific relationships.
5.Insightful Interpretation: Interpretation revealed demographic patterns, highlighting visualization's insight generation.
6.Aesthetics Matter: Attention to aesthetics contributes to professional, clear visualizations for effective communication.

In summary, creating impactful plots involves a combination of thoughtful design choices, exploration of data subsets, and understanding of the message to be conveyed. Visualizations serve as powerful tools for communicating complex information in an accessible manner, facilitating a deeper understanding of the underlying data patterns.