Box Plot in stat using python hypothesis.pptx
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A box and whisker plot, or boxplot, visually summarizes data distribution and highlights outliers. It shows the median, lower and upper quartiles, and provides insights into complex data sets through comparative analysis. Customization in R allows for enhancements in appearance and labeling of boxplots for better data interpretation.
Box Plot in stat using python hypothesis.pptx
- 1. BOX PLOTTING
- 2. WHAT IS BOX PLOT? ◦ Definition ◦ A box and whisker plot or diagram (otherwise known as a boxplot), is a graph summarizing a set of data. The shape of the boxplot shows how the data is distributed and it also shows any outliers.
- 3. Reading a Box and Whisker Plot? Interpreting a boxplot can be done once you understand what the different lines mean on a box and whisker diagram. The line splitting the box in two represents the median value. This shows that 50 % of the data lies on the left hand side of the median value and 50 % lies on the right hand side. The left edge of the box represents the lower quartile; it shows the value at which the first 25 % of the data falls up to. The right edge of the box shows the upper quartile; it shows that 25 % of the data lies to the right of the upper quartile value. The values at which the horizontal lines stop at are the values of the upper and lower values of the data. The single points on the diagram show the outliers.
- 4. USES OF BOX PLOT ◦ Box plot is used to visualise complex data where you have multiple data sets. ◦ It is useful for comparing samples. ◦ We can form a boxplot for a single sample or for multiple samples. ◦ The box-whisker plot is also useful to visualize a single sample because you can show outliers if you choose. ◦ It is often used in explanatory data analysis. ◦ It is used to analyse Symmetry of Data.
- 5. CUSTOMIZATION OF BOXPLOT IN R ◦ names : to set the labels of boxplots which are by default 1 and 2. ◦ xlab : to label or give title to x-axis. ◦ ylab : to label or give title to y-axis. ◦ range=0 : to extend the whiskers to maximum and minimum value. ◦ col : to give colour to boxplot. ◦ main : to give title to the boxplot ◦ horizontal=TRUE : for horizontal box plots. We can customize and enhance the appearance of box plot by using following commands :-
- 6. EXAMPLES OF BOX PLOT ◦ Boxplot using vectors :- We are given the following data: Red: 5, 4, 3, 6, 8, 7, 9, 0, 2, 4, 5 ; Pink: 3, 2, 4, 5, 6, 7, 2, 3, 4, 2, 4 ; Create boxplot for these 2 vectors. Do not give main title. And give names to the 2 components as x and y. Command : Red<-c(5,4,3,6,8,7,9,0,2,4,5) Pink<-c(3,2,4,5,6,7,2,3,4,2,4) boxplot(Red,Pink,name=c('x','y’)) Output :