1
0–1 min
Get started in seconds
Drag any numeric field into the Values field well. The histogram renders instantly with 10 bins, mean, and median lines.
- Numeric field in Values
- Category (optional) for cross-filtering
- Tooltips (optional) for extra measures per bin
2
1–3 min
Read the shape of your distribution
The gap between μ (mean) and M (median) reveals skewness. Close together = symmetric.
μ ≈ M → Symmetric | μ > M → Right-skewed
3
3–5 min · Pro
Tune the bin count for more detail
With a Pro license, set bins from 2 to 100 to control resolution.
- Fewer bins → overall trend
- More bins → micropatterns and gaps
- Rule of thumb: √n bins for n rows
Pro
advanced analysis features
Configurable bins
2–100
instead of 10 fixed
Live statistics
6
n · μ · M · σ · min · max
Reference lines
5
mean · median · Q1 · Q3 · target
Outlier trimming
%
without deleting data
4
5–8 min · Pro
Detect and handle outliers
Use Lower / Upper trim % to exclude extremes without touching the data model.
- Trim 2% on each end for sales data
- "n trimmed" counter appears in the stats panel
- Original data is never modified
5
8–12 min · Pro
Validate normality with the curve
Enable the normal curve to overlay the theoretical distribution. Do the bars follow it?
- Good fit → statistical models are valid
- Bimodal → two distinct segments in your data
- Long tail → significant outliers present
6
12–15 min
Avoid common mistakes
- Too many bins with a small dataset
- Ignoring the gap between μ and M
- Not trimming when extreme outliers are present
- Enable the stats panel for full context
- Add a benchmark line for your SLA or target