Data Visualization
Less than 1 minute
Catalog
Publication Figures
- #Create publication-ready figures for Nature-style journal. Help me: 1) Design multi-panel figure showing experimental results, 2) Choose appropriate plot types (scatter, box, violin, heat map), 3) Apply consistent color scheme (colorblind-friendly), 4) Format axes, labels, legends professionally, 5) Ensure 300+ DPI resolution, 6) Write detailed figure caption, 7) Generate in Python (matplotlib/seaborn) or R (ggplot2)
Qualitative Visualization
- #Visualize qualitative research findings from interview study. Help me: 1) Create thematic map showing relationships between themes, 2) Design participant quote visualization, 3) Create word cloud from transcript data, 4) Visualize coding process and hierarchy, 5) Design concept map linking themes to theory, 6) Create visual abstract for conference presentation, 7) Ensure ethical representation of participants
Statistical Plots
- #Create statistical visualization for regression analysis results. Help me: 1) Generate scatter plot with regression line and confidence interval, 2) Create residual diagnostic plots (normality, homoscedasticity), 3) Visualize model comparisons (AIC/BIC), 4) Design coefficient plot with error bars, 5) Create correlation matrix heatmap, 6) Format for APA-style publication, 7) Use R (ggplot2) or Python (seaborn)