Data Representation for Cell Counts and Percentages in Male and Female Animals Over Multiple Timepoints
For cell counts and percentages data from 2 male and 2 female animals across several timepoints, you should use a combination of visualization methods that clearly display both individual data points and group trends, with data always disaggregated by sex.
Recommended Visualization Approaches
Primary Visualization Methods
Split-panel line graphs with individual data points should be your first choice, showing separate panels for males and females with individual animal data points visible and connected by lines to show trends over time 1
Box plots with overlaid data points are excellent for comparing distributions between sexes at each timepoint, clearly showing both individual values and statistical summaries 2
Scatter plots with trend lines can effectively show relationships between variables while maintaining visibility of individual data points, particularly useful when examining correlations over time 3, 4
Data Organization Principles
Always disaggregate and present data separately by sex rather than pooling or averaging across sexes, as recommended by NIH guidelines and ATVB Council 1
Include both individual data points and summary statistics in your visualizations to maintain transparency about sample size and variability 5
Clearly label the sex of animals in figure legends and results, not just in methods sections 1
Statistical Considerations
When comparing sexes, use appropriate statistical tests that account for the small sample size (n=2 per sex) 1
Consider genotype-by-sex interaction tests if genetic factors are being studied alongside cell counts 1
Be cautious about interpreting apparent sex differences with such small sample sizes, as the study may be underpowered to detect true differences 1
Specific Visualization Recommendations
For Temporal Trends:
- Multi-panel line graphs with:
For Distribution Comparisons:
- Side-by-side box plots for each timepoint:
- Timepoints on x-axis, cell counts/percentages on y-axis
- Male and female data in different colors
- Individual data points overlaid on boxes
- Median line clearly visible within each box 2
For Complex Relationships:
- Scatter plots with LOESS smoothing curves to show trends without forcing linear relationships 3
Common Pitfalls to Avoid
Don't pool data across sexes as this can mask important biological differences 1
Avoid 3D graphics, excessive shading, or unnecessary gridlines that reduce data-to-ink ratio 5
Don't rely solely on summary statistics with such small sample sizes 6
Avoid making strong claims about sex differences without adequate statistical power 1