1  Data wrangling and visualization in JASP

1.1 Learning outcomes

After viewing the tutorial materials and following along with the demonstration, you can:

  1. Filter data according to certain values of cases (select cases)
  2. Compute new variables from existing variables
  3. Recode existing variables into new variables
  4. Run descriptive statistics and frequencies
  5. Visualize data

1.2 Slides

View slides in full screen

1.3 Datasets

This demonstration uses the dataset ReducedESS11 which is based on the ESS11 dataset (Norwegian Agency for Shared Services in Education & Research, 2025). You can download it here.

The dataset consists of 7 variables:

  • Country
    • Belgium, France, Germany, Hungary and the Netherlands
  • imsmetn (“Allow many/few immigrants of same race/ethnic group as majority”)
    1. “Allow none”
    2. “Allow some”
    3. “Allow a few”
    4. “Allow none”
  • imdfetn (“Allow many/few immigrants of different race/ethnic group from majority”)
    • Scale as imsmetn
  • impcntr (“Allow many/few immigrants from poorer countries outside Europe”)
    • Scale as imsmetn
  • imbgeco (“Immigration bad or good for country’s economy”)
    • Scale from 0 (“Bad for the economy”) to 10 (“Good for the economy”)
  • imueclt (“Country’s cultural life undermined or enriched by immigrants”)
    • Scale from 0 (“Cultural life undermined”) to 10 (“Cultural life enriched”)
  • imwbcnt (“Immigrants make country worse or better place to live”)
    • Scale from 0 (“Worse place to live”) to 10 (“Better place to live”)

1.4 Videos

1.4.1 Wrangling

1.4.2 Plotting