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Samenvatting

Samenvatting Statistics 5_Data Science & Visualization_KU Leuven_2025/26

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Studienotities voor Statistiek 5 (Data Science-module) van de masteropleiding Psychologie aan de KU Leuven, met aandacht voor technieken voor datavisualisatie en praktische toepassingen. Het document behandelt uitgebreid de principes van visualisatie, waaronder het in kaart brengen van data, geometrische objecten (geoms), het aanpassen van grafieken, thema’s en verschillende soorten grafieken (staafdiagrammen, cirkeldiagrammen en verdelingen). De notities zijn per onderwerp georganiseerd en bevatten duidelijke voorbeelden met datasets uit de echte wereld, zoals geluk in verhouding tot het bbp. Hierdoor zijn ze ideaal om de vaardigheden op het gebied van datavisualisatie die voor de cursus vereist zijn onder de knie te krijgen en om je voor te bereiden op het examen.

Voorbeeld van de inhoud

Statistiek 5 – master fase 1 ’25-‘26




STATISTIEK 5

INHOUDSOPGAVE

principe van het boek ............................................................................................................................. 6

1 visualization ........................................................................................................................................ 6
te gebruiken functies.................................................................................................................................. 6
our data: happiness vs. GDP (per capita) across the world ........................................................................... 8
the “mise en place”: setting up ................................................................................................................... 8
visualization: let’s start simple! .................................................................................................................. 9
data ....................................................................................................................................................... 9
mapping ............................................................................................................................................... 10
geoms .................................................................................................................................................. 10
multiple geoms..................................................................................................................................... 11
assigning plots to objects ...................................................................................................................... 11
combining plots .................................................................................................................................... 11
saving plots .......................................................................................................................................... 11
flexible smooth regression line .............................................................................................................. 12
customizing plots .................................................................................................................................... 12
styling geoms ....................................................................................................................................... 12
setting aesthetics overall versus by category.......................................................................................... 12
logarithmic axes ................................................................................................................................... 12
separate lines per group........................................................................................................................ 13
format axes .......................................................................................................................................... 13
axis limits ............................................................................................................................................. 13
making dots proportional to population size........................................................................................... 13
themes................................................................................................................................................. 13
adding tekst to the plot ......................................................................................................................... 14
other plot types ....................................................................................................................................... 14
bar plot: categorieën tellen ................................................................................................................... 14
column plot .......................................................................................................................................... 14
pie chart ............................................................................................................................................... 14
one continuous variable ........................................................................................................................ 14
other visualizations of distributions ....................................................................................................... 15
more visualisations .................................................................................................................................. 15
conclusion on plotting.............................................................................................................................. 15
On the use of AI ....................................................................................................................................... 15
code checking and debugging ............................................................................................................... 15
code review .......................................................................................................................................... 15
code generation.................................................................................................................................... 16
uitleg functies .......................................................................................................................................... 16
read_csv() ............................................................................................................................................ 16
read_csv2() .......................................................................................................................................... 16
read_tsv() ............................................................................................................................................. 16
read_delim() ......................................................................................................................................... 17
scale_x_continuous() ............................................................................................................................ 17

1

, geom_boxplot() .................................................................................................................................... 17

2 workflow basics ................................................................................................................................ 19
leerdoelen ............................................................................................................................................... 19
functions used ......................................................................................................................................... 19
workflow basics ....................................................................................................................................... 20
folder structure and naming .................................................................................................................. 20
R project .............................................................................................................................................. 21
code style............................................................................................................................................. 22
import data: cvs files ................................................................................................................................ 23
the reverse operation: Saving data in a csv file........................................................................................ 23
some common problems when importing data.......................................................................................... 24
wrong file path or directory .................................................................................................................... 24
missing values ...................................................................................................................................... 24
unexpected variable types .................................................................................................................... 24
european decimal seperators ............................................................................................................... 24
problem with variable names ................................................................................................................ 24
import other data types ............................................................................................................................ 24
Rdata en rds ......................................................................................................................................... 24
SPSS data files ..................................................................................................................................... 26
excel files ............................................................................................................................................. 26
variable types .......................................................................................................................................... 26
logical vectors ...................................................................................................................................... 26
numbers .............................................................................................................................................. 28
strings .................................................................................................................................................. 28
factors ................................................................................................................................................. 28
dates and times .................................................................................................................................... 29
missing values ...................................................................................................................................... 29
les 2 extra info ......................................................................................................................................... 29
uitleg functies .......................................................................................................................................... 29
dim() .................................................................................................................................................... 29
readRDS()............................................................................................................................................. 30
read_rds() ............................................................................................................................................. 30
glimpse() .............................................................................................................................................. 30
as_factor() ............................................................................................................................................ 32
levels() ................................................................................................................................................. 33

3 data transformation ........................................................................................................................... 34
leerdoelen ............................................................................................................................................... 34
functions used ......................................................................................................................................... 34
example data .......................................................................................................................................... 35
the basics of dplyr.................................................................................................................................... 35
the piping operator: |> .............................................................................................................................. 35
operations on rows .................................................................................................................................. 36
filter() ................................................................................................................................................... 36
arrange() .............................................................................................................................................. 36
distinct()............................................................................................................................................... 37
operations on columns ............................................................................................................................ 37
select() ................................................................................................................................................. 37

Statistiek 5 – samenvatting 2

, mutate() ............................................................................................................................................... 38
rename() .............................................................................................................................................. 38
relocate() ............................................................................................................................................. 39
groups..................................................................................................................................................... 39
group_by() ............................................................................................................................................ 39
summarize() (of summarise()) ............................................................................................................... 39
slice_*()................................................................................................................................................ 40
grouping by multiple variables ............................................................................................................... 40
ungrouping ........................................................................................................................................... 40
.by ....................................................................................................................................................... 40
the pipe returns ....................................................................................................................................... 41
save each intermediate object as a new one .......................................................................................... 41
overwrite the object many times ............................................................................................................ 41
composite function .............................................................................................................................. 41
saving data .............................................................................................................................................. 41
andere functies ....................................................................................................................................... 42
count() ................................................................................................................................................. 42
case_when() ......................................................................................................................................... 42
if_else() ................................................................................................................................................ 42
starts_with(), ends_with(), contains(), num_range() ................................................................................ 43
les 3 extra info ......................................................................................................................................... 43

chapter 4: reproducible reports ............................................................................................................ 44
learning objectives ................................................................................................................................... 44
functions used ......................................................................................................................................... 44
required packages ................................................................................................................................... 44
why use reproducible reports? ................................................................................................................. 44
projects................................................................................................................................................... 45
introduction to quarto .............................................................................................................................. 45
wat is het? ............................................................................................................................................ 45
waarom gebruiken we het?.................................................................................................................... 45
starten met quarto ................................................................................................................................ 45
quarti syntax and structure.................................................................................................................... 46
writing a report ........................................................................................................................................ 58
setup chunk ......................................................................................................................................... 58
chunk options ...................................................................................................................................... 59
online source ....................................................................................................................................... 59
local data files ...................................................................................................................................... 59
data analysis ........................................................................................................................................ 60
code comments ................................................................................................................................... 60
images ................................................................................................................................................. 60
tables................................................................................................................................................... 60
cross references ................................................................................................................................... 60
exploring the palmerpeguins dataset ........................................................................................................ 61
code .................................................................................................................................................... 61
including visual Elements...................................................................................................................... 61
cross-references .................................................................................................................................. 62

chapter 5: data tidying .......................................................................................................................... 63
Intended Learning Outcomes ................................................................................................................... 63

Statistiek 5 – samenvatting 3

, functions used ......................................................................................................................................... 63
set-up ..................................................................................................................................................... 63
tidy and untidy data.................................................................................................................................. 63
untidy data ........................................................................................................................................... 64
tidy data ............................................................................................................................................... 64
reshaping data......................................................................................................................................... 64
wide to long .......................................................................................................................................... 65
long to wide .......................................................................................................................................... 65
les 5 ........................................................................................................................................................ 67

chapter 6: planning a study ................................................................................................................... 68
introduction............................................................................................................................................. 68
factors influencing statistical power ......................................................................................................... 68
methods for conducting power analysis .................................................................................................... 70
the superpower package .......................................................................................................................... 70
specifying the design ............................................................................................................................ 71
One-way ANOVA...................................................................................................................................... 72
ANOVA_power ...................................................................................................................................... 72
plot_power ........................................................................................................................................... 73
Two-way ANOVA ...................................................................................................................................... 73
additional considerations ......................................................................................................................... 74
what else can superpower do? .............................................................................................................. 74
alternative packages and software ........................................................................................................ 74
les 6 ........................................................................................................................................................ 75

chapter 7: data relations....................................................................................................................... 76
intended learning outcomes ..................................................................................................................... 76
functions used ......................................................................................................................................... 76
loading data ............................................................................................................................................ 76
mutating joins .......................................................................................................................................... 76
left_join() .............................................................................................................................................. 76
right_join() ............................................................................................................................................ 76
inner_join() ........................................................................................................................................... 77
full_join() .............................................................................................................................................. 77
filtering hoins ........................................................................................................................................... 77
semi_join() ........................................................................................................................................... 77
anti-join() ............................................................................................................................................. 77
multiple joins........................................................................................................................................... 77
binding joins ............................................................................................................................................ 78
Bind_rows() .......................................................................................................................................... 78
Bind_cols() ........................................................................................................................................... 78
set operations ......................................................................................................................................... 78
intersect() ............................................................................................................................................ 78
union() ................................................................................................................................................. 79
setdiff() ................................................................................................................................................ 79

les 7..................................................................................................................................................... 80

Statistiek 5 – samenvatting 4

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