## How do you read a notched box plot?

The notches on the sides of a box plot can be interpreted as a comparison interval around the median values. The height of the notch is the median +/- 1.57 x IQR/sqrt(n) where IQR is the interquartile range defined by the 25th and 75th percentiles and n is the number of data points [1].

### What does notch mean in Boxplot?

Notched box plots apply a “notch” or narrowing of the box around the median. Notches are useful in offering a rough guide to significance of difference of medians; if the notches of two boxes do not overlap, this offers evidence of a statistically significant difference between the medians.

#### What can be interpreted from a box plot?

A boxplot is a standardized way of displaying the distribution of data based on a five number summary (“minimum”, first quartile (Q1), median, third quartile (Q3), and “maximum”). It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

**How does a box plot show consistency?**

The spread of all the data on a box plot is visualised by the distance between the smallest and largest value. The smaller the box, the more consistent the data values are with the median of the data.

**What is Iqr in box plot?**

The interquartile range is the difference between the upper quartile and the lower quartile. In example 1, the IQR = Q3 – Q1 = 87 – 52 = 35. The IQR is a very useful measurement. It is useful because it is less influenced by extreme values as it limits the range to the middle 50% of the values.

## Why use a box and whisker plot?

Why Use a Box and Whisker Plot? Box and whisker plots are very effective and easy to read, as they can summarize data from multiple sources and display the results in a single graph. Box and whisker plots allow for comparison of data from different categories for easier, more effective decision-making.

### What are quartiles in box plots?

The quartiles are like additional “medians” of the lower and upper halfs of the data set. A quartile is a number, it is not a range of values. Data can be described as being “above” or “below” the first quartile, but data is never “in” the first quartile.

#### What does a positive skew mean in box plots?

Positively Skewed : For a distribution that is positively skewed, the box plot will show the median closer to the lower or bottom quartile. A distribution is considered “Positively Skewed” when mean > median. It means the data constitute higher frequency of high valued scores.

**How are notches used in a box plot?**

Notches are used in box plots to help visually assess whether the medians of distributions differ. If the notches do not overlap, this is evidence that the medians are different. With this particular data set, you’ll see the following message: Notch went outside hinges. Try setting notch=FALSE.

**How to create a notched boxplot in Python?**

The notched boxplot allows you to evaluate confidence intervals (by default 95% confidence interval) for the medians of each boxplot. To create the notch, set notch=True in the plt.boxplot function.

## What do the lines mean in a box plot?

Box limits indicate the range of the central 50% of the data, with a central line marking the median value. Lines extend from each box to capture the range of the remaining data, with dots placed past the line edges to indicate outliers. The example box plot above shows daily downloads for a fictional digital app, grouped together by month.

### What does notch in middle of box mean?

This means that the confidence region (the notch) went past the bounds (or hinges) of one of the boxes. In this case, the upper part of the notch in the middle box goes just barely outside the box body, but it’s by such a small amount that you can’t see it in the final output.