Virtual Reality Experiences
This interactive chart analyzes virtual reality user experiences, showing how average immersion levels and motion sickness ratings compare across VR headset models. Users can filter the dataset by headset type using interactive checkboxes, with bar heights updating dynamically. The visualization loads comma-separated data from a Kaggle dataset, then uses d3.group, d3.scaleBand, and d3.scaleLinear to aggregate and display average metrics per device in an SVG rendered with D3 v7.
AI-generated descriptionVirtual Reality Experiences
Description
This dataset captures user experiences with virtual reality across demographics, device types, and session characteristics. It includes self-reported immersion and motion-sickness measures, along with basic context like age, gender, headset model, and session duration. Useful for analyzing factors that influence comfort and engagement in VR.
Source: Kaggle — Virtual Reality Experiences by aakashjoshi123
Link: https://www.kaggle.com/datasets/aakashjoshi123/virtual-reality-experiences
Attributes and Types
- UserID — categorical (nominal). Unique identifier for each participant/session.
- Age — quantitative (ratio). Participant age in years.
- Gender — categorical (nominal). Reported gender of the participant.
- VRHeadset — categorical (nominal). Headset used (e.g., Oculus, HTC Vive, etc.).
- Duration — quantitative (ratio). Session duration (time units as provided in the dataset, often minutes).
- MotionSickness — ordered categorical / quantitative discrete. Integer severity scale (e.g., 0 = none to higher values = more severe).
- ImmersionLevel — ordered categorical / quantitative discrete. Integer engagement/immersion scale (e.g., 1–10 Likert-style).
Note: MotionSickness and ImmersionLevel are integers that behave like ordered ratings. You can analyze them as ordered categoricals or as numeric scores depending on your method.
Visualization Ideas
- Bar chart: average ImmersionLevel by VRHeadset (with error bars).
- Boxplot: Duration by VRHeadset to compare session lengths.
- Stacked bars: distribution of MotionSickness levels by VRHeadset.
- Scatter (with jitter): Duration vs ImmersionLevel, colored by Gender.
- Heatmap: correlation matrix for Age, Duration, MotionSickness, ImmersionLevel.
Notes
- Check for missing values and outliers in Duration, MotionSickness, and ImmersionLevel.
- If units for Duration are unclear, annotate your visuals and README with the chosen unit.
- Treat MotionSickness and ImmersionLevel as ordered when using nonparametric tests or ordinal models; numeric is fine for simple EDA.
- Consider binning Age (e.g., 18–24, 25–34, …) for clearer comparisons across headsets.