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02_data_visualization.R
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02_data_visualization.R
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# This script can be used to visualize the distributions of the open access data
# that were pre-processed in the previous script.
library('tidyverse')
brysbaert_2014 <- read_rds('processed_data/brysbaert_2014.rds')
speed_2021 <- read_rds('processed_data/speed_2021.rds')
vankrunkelsven_2022 <- read_rds('processed_data/vankrunkelsven_2022.rds')
# Brysbaert ----
## Concreteness
concreteness_hist <- hist(brysbaert_2014$concreteness_brysbaert)
concreteness_summary <- summary(brysbaert_2014$concreteness_brysbaert)
concreteness_summary
# Speed ----
## Auditory
auditory_hist <- hist(speed_2021$auditory_speedb)
auditory_summary <- summary(speed_2021$auditory_speedb)
auditory_summary
## Visual
visual_hist <- hist(speed_2021$visual_speedb)
visual_summary <- summary(speed_2021$visual_speedb)
visual_summary
## Olfactory
olfactory_hist <- hist(speed_2021$olfactory_speedb)
olfactory_summary <- summary(speed_2021$olfactory_speedb)
olfactory_summary
## Gustatory
gustatory_hist <- hist(speed_2021$gustatory_speedb)
gustatory_summary <- summary(speed_2021$gustatory_speedb)
gustatory_summary
## Haptic
haptic_hist <- hist(speed_2021$haptic_speedb)
haptic_summary <- summary(speed_2021$haptic_speedb)
haptic_summary
## Interoceptive
interoceptive_hist <- hist(speed_2021$interoceptive_speedb)
interoceptive_summary <- summary(speed_2021$interoceptive_speedb)
interoceptive_summary
# Vankrunkelsven ----
## Gender
gender_hist <- hist(vankrunkelsven_2022$gender_vankrunkelsven)
gender_summary <- summary(vankrunkelsven_2022$gender_vankrunkelsven)
gender_summary