Why/When: Boxplots are great for comparing groups, summarizing big lists with a 5-number summary, and spotting skew/outliers. Theyâre robust and donât assume symmetry.
Data: 
A2:A9 = 4,5,7,8,9,10,16,20.QUARTILE.INC).Tip: If you donât see âBox & Whiskerâ, you can create a quick one in Google Sheets (Insert â Chart â Chart type: Box and whisker), or compute the five numbers with QUARTILE.INC and draw bars manually.
Boxplots compress a dataset to 5 numbers plus outliersâperfect for side-by-side comparisons of groups and quick checks of skew/outliers. Use histograms when you want the full shape within bins and have many data points.
Median near Q1 + long upper whisker â right-skewed. Median near Q3 + long lower whisker â left-skewed. Balanced â symmetric.
No. Whiskers stop at the most extreme non-outlier data points: lower whisker = smallest value ⼠lower fence; upper whisker = largest value ⤠upper fence. If there are no outliers, whiskers do equal min/max.
No. Blue dashed fences are cutoffs computed from quartiles: Lower fence = Q1 â 1.5¡IQR; Upper fence = Q3 + 1.5¡IQR. Whiskers are drawn at the most extreme data points still inside those cutoffs.
They mark the datasetâs Min and Max. If a min/max is beyond a fence, youâll see a red outlier dot at that value.
The median. The mean gets pulled by the tail/outliers.
Itâs IQR (Q3 â Q1): the spread of the middle 50% of the data. Bigger box â more variability.
Whiskers usually move to the new min/max (now inside fences), and Q1/Q3 might shift a bit.
Most tools use them but hide the lines. We draw the blue dashed fences for teaching so you can see why a point is an outlier and where whiskers stop.
Q: Why use a boxplot, not a histogram?
     A: Boxplots summarize with just five numbers & outliers, and are great for comparing groups sideâbyâside.
Q: Which center is best if skewed?
     A: The median. The mean is dragged by the tail/outliers.
Q: What does a long right whisker mean?
     A: Rightâskewed: more spread/tail toward large values.
Q: Are outliers âbad dataâ?
     A: Not always. They might be real extremes or data entry errorsâinvestigate!