A Boxplot is a graph that indicates how the values in the dataset are spread out. Boxplots are used to visualize the distribution of the data based on following parameters:
1. minimum
2. first quartile (Q1)
3. median
4. third quartile (Q3)
5. maximum
Below is the detail of the above parameters:
median (Q2/50th Percentile): the middle value of the dataset.
first quartile (Q1/25th Percentile): the middle number between the smallest number (not the “minimum”) and the median of the dataset.
third quartile (Q3/75th Percentile): the middle value between the median and the highest value (not the “maximum”) of the dataset.
interquartile range (IQR): 25th to the 75th percentile.
whiskers (shown in blue)
outliers (shown as green circles)
maximum: Q3 + 1.5*IQR
minimum: Q1 -1.5*IQR
Advantages of Barplots
1. Used to find out skewness of variables.
2. Used to find out outliers in a variable.
3. Used to find out if the data is symmetrical or not? How tightly the data is grouped?
1. minimum
2. first quartile (Q1)
3. median
4. third quartile (Q3)
5. maximum
Below is the detail of the above parameters:
median (Q2/50th Percentile): the middle value of the dataset.
first quartile (Q1/25th Percentile): the middle number between the smallest number (not the “minimum”) and the median of the dataset.
third quartile (Q3/75th Percentile): the middle value between the median and the highest value (not the “maximum”) of the dataset.
interquartile range (IQR): 25th to the 75th percentile.
whiskers (shown in blue)
outliers (shown as green circles)
maximum: Q3 + 1.5*IQR
minimum: Q1 -1.5*IQR
Advantages of Barplots
1. Used to find out skewness of variables.
2. Used to find out outliers in a variable.
3. Used to find out if the data is symmetrical or not? How tightly the data is grouped?
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