# box plot advantages and disadvantages

By using a boxplot for each categorical variable side-by-side on the same graph, one quickly can compare data sets. Box Plot is a graph/plot which is used to depict the important statistics such as minimum value, maximum value, median, quartiles e.t.c from the given data graphically. By using a boxplot for each categorical variable side-by-side on the same graph, one quickly can compare data sets. Thus, 25% of the data are above this value. # 2. Disadvantages: The box plot is not relevant for detailed analysis of the data as it deals with a summary of the data distribution. Advantages & Disadvantages of a Box Plot Handles Large Data Easily. Letter-Value Box Plot. Hint: Box plots and histograms are very similar, therefore, will the advantages and disadvantages of a box plot be similar to those of the histogram in problem 8-67? Provide some indication of the data's symmetry and skewness. The points outside the ends of the whiskers are outliers or suspected outliers. The purpose is to show how much one variable affects another. Unlike many other methods of data display, boxplots show outliers. Introduction . The line in the box indicates the median value of the data. Privacy Further reading on Box-Percentile Plots: – Pg. If the median line of a box plot lies outside of the box of a comparison box plot, then there is likely to be a difference between the two groups. It is an X-Y diagram that shows a relationship between two variables. Vocabulary histogram dot plot box plot bar graph symmetric skewed mound shaped bimodal What is the best way to display the data? They also hide many of the details of the distribution. Lower Quartile (Q1) is the 25th percentile value of the data (also known as the first quartile). Box Plot (also called as Box and Whiskers Plot) is a very popular and widely used plot for visualizing data in the field of Statistics and Data Analysis. Beyond the basic information, boxplots sometimes are enhanced to convey additional information: The mean and its confidence interval can be shown using a diamond shape in the box. All rights reserved. The whiskers show the … Now, let us understand how it is plotted with example. Advantages: - Concise representation of data - Shows range, minimum & maximum, gaps & clusters, and outliers easily - Can handle extremely large data sets . It is used to plot data points on a vertical and a horizontal axis. pros: ~represent data distribution ~5 statistical summary(min, max, 1s q) ~unaffected by outliers ~good for comparison between data sets cons: ~does not show individual values The box plot is suitable for comparing range and distribution for groups of numerical data. •Display range & distribution along number line. Also, mean and mode cannot be identified in a box plot. What is the best way to display the data? It's eaiser to see the outlier ( odd number) out of the data. Boxplots have the following strengths: 1. Let’s define it! The graph is called a boxplot (also known as a box and whisker plot) and summarizes the following statistical measures: The following is an example of a boxplot. Disadvantages. Graphically display a variable's location and spread at a glance. It displays the range and distribution of data along a number line. The Power Point is on the Advantages and Disadvantages of Dot Plots, Box Plots, and Histograms. We can compare these boxplots by comparing their medians, the interquartile ranges and whiskers of box plots, skewness and symmetry. Hint: Box plots and histograms are very similar, therefore, will the advantages and disadvantages of a box plot be similar to those of the histogram in problem 8-67? In the above figure, you can observe all the lines extended from the medians are outside the box. It indicates symmetry and skewness; Helps to identify outliers in the data. Exact Values Not Retained. Original data is not clearly shown in the box plot; also, mean and mode cannot be identified in a box plot. Summarizing large amounts of data is easy with boxplot labels. Box plots provide some indication of the data’s symmetry and skew-ness. These plots are generated by the beanplot command in the R package of the same name and the purpose of this post is to introduce beanplots and briefly discuss their advantages and disadvantages relative to the basic boxplot and the other variants discussed in previous posts. jamini proposal by combining the advantages of box plots with density traces. Taking Iris Dataset for understanding the Box Plot, the ‘SepalLengthCm’ column data are selected. Steps to be followed to read any Box Plot-. Create a box plot of the data from problem 8-66. It is a standardized way to display the distribution of any numerical data. The distribution is positively skewed (skewed right) when the median is closer to the bottom of the box, and if the whisker is shorter on the lower end of the box. Advantages Disadvantages. This article includes: 1.What is Box Plot? Box Plot displays the distribution of data based on a five-number summary -Minimum Value, Lower Quartile, Median, Upper Quartile, Maximum Value. This is problematic, as many different data distributions can lead to the same bar or line graph. A bar graph can be used with numerical or categorical data. Advantages and disadvantages. Disadvantages of Stem and Leaf Plots A stem and leaf plot is not very informative for a small set of data. The main advantage of a violin plot is that it shows you concentrations of data. Upper Quartile (Q3) is the 75th percentile value of the data (also known as the third quartile). It also represents the length of the box. Terms of Use, Accounting Economics Finance ManagementMarketing Operations Statistics Strategy. (At least three levels are needed for the following goal.) In statistics, Box–Behnken designs are experimental designs for response surface methodology, devised by George E. P. Box and Donald Behnken in 1960, to achieve the following goals: . They are sometimes referred to as box and whisker plots. •Provide data's symmetry & skew-ness. pros: ~represent data distribution ~5 statistical summary(min, max, 1s q) ~unaffected by outliers ~good for comparison between data sets cons: ~does not show individual values One drawback of boxplots is that they tend to emphasize the tails of a distribution, which are the least certain points in the data set. Unlike many other methods of data display, boxplots show outliers. Copyright © 2002-2010 NetMBA.com. This variation is a solution to limitations of Box Plots when it comes to visualising large datasets: Hence, Box plot is also useful to display Symmetrical and Asymmetrical distribution. 2.How to read a Box Plot? Can handle an extreme amount of data Data samples with very small range and variance can be difficult to break into meaningful or useful categories. Scatter plots are significant in visualizing data as they show the contribution of different factors in the performance or status of an element which is being analyzed. Boxplots get their name from what they resemble. 8, 40 years of boxplots, Wickham and Stryjewski – The Box-Percentile Plot, Warren W. Esty and Jeffrey D. Banfield . Students recognize the advantages and disadvantages of different graphical representations and can use each to compare measures of center and spread for a given distribution. Reprints It is easier to read minimum value, median, outliers, quantiles, and maximum value. The distribution is negatively skewed (skewed left) when the median is closer to the top of the box, and if the whisker is shorter on the upper end of the box. In that way much confusing detail is removed. It is the line joining Q1 and minimum value on the left of the box (lower whisker) and joining Q3 and maximum on the right of the box(upper whisker). It displays the range and distribution of data along a number line. Disadvantages of Box Plots. 3. The violin plot, as shown in Figure 1, combines the box plot with density traces. That box-and-whisker plot (or, boxplot) you learned to read/create in grade school probably IS different from the one you see presented in the adult world. The edges of the box show the 1st and 3rd quartile while the line within the box shows the median (2nd quartile). They two are organized from smallest to largest, separated by commas. Home | About | Privacy | Reprints | Terms of Use 4. The upper edge (hinge) of the box indicates the 75th percentile of the data set, and the lower hinge indicates the 25th percentile. a)Advantages Different statistics from a large amount of data can be displayed using a single box plot. The distribution is symmetric when the median is in the middle of the box, and the whiskers are about the same on both sides of the box. Below, I have listed some possible notes for students on each section: 1. Disadvantages: - Not visually appealing - Does not easily indicate measures of centrality for large data sets I will use Iris dataset to explain it. Residential plot investment is considered to be a popular mode of property investment in India that promises greater appreciation at a relatively lower ticket price. In Python, Box Plot can be plotted using pandas, matplotlib or seaborn libraries. Each number on the leaf side of the plot represents one single data point from the number set. Easy to keep scores Not very visually interesting and attractive Very simple to use Might be messy after having too much data. what are the advantages and disadvantages of a telephone box What are the advantages of box and whisker plots? Home Maximum Value- It is the highest score in the given data, excluding outliers (shown at the end of the right whisker with ‘|’). A box plot is a good way to summarize large amounts of data. displays a distribution and range of a set of numeric values plotted against a dimension Let us look at some of the advantages and disadvantages of plot investment in Bangalore. The median is the mid-point of the data and is displayed by the line that divides the box into two parts (It is known as the second quartile or 50th percentile value ). #cons # 1. The width of the box can be varied in proportion to the log of the sample size. Advantages/Disadvantages. The boxplot on the top originated as the Range Bar, published by Mary Spear in the 1950’s. The ends of the vertical lines or "whiskers" indicate the minimum and maximum data values, unless outliers are present in which case the whiskers extend to a maximum of 1.5 times the inter-quartile range. # 2. Provide some indication of the data's symmetry and skewness. 2. Displays range and data distribution on the axis. In [2]:Data = pd.read_csv("D:\Iris_dataset.csv"), # Fixing random state for reproducibility, data = np.concatenate((spread, center, flier_high, flier_low)), flier_high = np.random.rand(10) * 100 + 100, main_ax = plt.axes([left,bottom,right-left,top-bottom]), main_ax.plot(df['vcnt'], df['ecnt'], 'ko',color='#ecb814', alpha=0.6), right_ax.boxplot(df['ecnt'], positions=[0],widths=1. Stem and-leaf plots The expected range of the median can be shown using notches in the box. Pros: Visually represents complicated lists of numbers; Can be used on one, two, and three digit numbers Create a box plot of the data from problem 8-66. If you want to explore more about it you can visit the other sources which are listed below. 8, 40 years of boxplots, Wickham and Stryjewski – The Box-Percentile Plot, Warren W. Esty and Jeffrey D. Banfield . Until now, how to interpret a single box plot is discussed. Summarizing large amounts of data is easy with boxplot labels. About Displaying a histogram in conjunction with the boxplot helps in this regard, and both are important tools for exploratory data analysis. In most of the cases, the original data is not clearly shown in the box plot. These lines (whiskers ) represent the spread of 50% of the data outside the box (i.e the lower 25% of scores and the upper 25% of scores). The range of the middle two quartiles is known as the inter-quartile range. It is easier to read minimum value, median, outliers, quantiles, and maximum value. In 1977, John Tukey published an efficient method for displaying a five-number data summary. What are the advantages and disadvantages of displaying the data using a box plot? It shows the number of values within an interval but not the actual values #Box Plot #Pros # 1. Creating a box plot. Data partitioning: good practices in the design of Data Lakes. The information that I review in the Warm Up helps students identify these Advantages and Disadvantages as well. Bean plots have the advantage of, unlike box plots, giving the distribution of data as well as descriptive statistics such as the mean. It's eaiser to see the outlier ( odd number) out of the data. A summary of temperature optima, maximum growth rates and niche width – expressed as box and whiskers plots - for each of the species used in our study. what are the advantages and disadvantages of a telephone box What are the advantages of box and whisker plots? Stem and Leaf Plot Pros and Cons. This web site is operated by theInternet Center for Management and Business Administration, Inc. Site Information Advantages & Disadvantages of Box Plot. 3. There are many ways to arrive at the same median. The box itself contains the middle 50% of the data. Data Points (SepalLengthCm)are shown in the given figure. 2.3 stem and leaf displays leblance. If the median line within the box is not equidistant from the hinges, then the data is skewed. Let us understand how box plots of a different group of data can be compared-. Types of correlation in a scatter plot. Disadvantages. Each factor, or independent variable, is placed at one of three equally spaced values, usually coded as −1, 0, +1. 4. Advantages of Box and Whisker Plots Immediate visuals of a box-and-whisker plot are the center, the spread, and the overall range of distribution. Box plots are useful for comparing data sets, especially when the data sets are large or when they have different numbers of data elements. Think about the old say “Can’t see the wood for the trees”. Advantages of Bar Graphs The mode is easily visible. This variation is a solution to limitations of Box Plots when it comes to visualising large datasets: Pupils gain independent practice in determining the best display for given data sets and purposes. •Summarize large amount of data. They can be used only with numerical data. Disadvantages: - Not visually appealing - Does not easily indicate measures of centrality for large data sets ... Statistical measures box plots jaflint718. One last remark worth making is that the box plots do not adapt as long as the quartiles stay the same. Box Plot is also very useful in detecting outliers as we know An outlier are the data points that is numerically distant from the rest of the data. minimum value, Q1, median, Q3, and maximum value are indicated by circles along with the data points. In Explanatory Data Analysis, Box Plot is often used to show the distribution of numerical data along with the symmetry and skewness of the data. Review data representations that use the number line and outlines the data types that work best with each of the representations. Advantages: - Concise representation of data - Shows range, minimum & maximum, gaps & clusters, and outliers easily - Can handle extremely large data sets . It displays the range and distribution of data along a number line. Box plots provide some indication of the data’s symmetry and skew-ness. •Shows outliers. Letter-Value Box Plot. What are the advantages and disadvantages of displaying the data using a box plot? The relative slopes from point to point will indicate greater or lesser increases; for example, a steeper slope means a greater increase than a more gradual slope. Skewness in any set of data can be interpreted using a box plot. Box Plot is plotted for the ‘SepalLengthCm’column data. 57. I am simply plotting different box plots for Iris- Setosa, Iris-Versicolor and Iris- Virginica by using sepal length data and interpreting these boxplots. 3.Comparing Box Plots 4.Advantages & Disadvantages 5.Plotting Box Plot using Python 6.Conclusion 7.Other Sources. In comparison with other graphical techniques, Box Plot not only shows the distribution/spread of data but also indicates the minimum and maximum values, quartiles, the symmetry and skewness of the data. Most papers presented continuous data in bar and line graphs. Below are the different Advantages and Disadvantages of the Box Plot: Advantages. For instance, if you have 7 data points {67,68,69,70,71,72,73} then the median is 70. They also hide m… This Advantages and Disadvantages of Dot Plots, Histograms, and Box Plots Lesson Plan is suitable for 9th - 12th Grade. An ogive (a cumulative line graph) is best used when you want to display the total at any given time. While the boxplot on the bottom was a modification created by John Tukey to account for outliers. ), sns.boxplot(orient='h',data= values,color="yellow",width= 0.2,dodge=False,fliersize= 6,linewidth=2), 2014 Boston Marathon USA Runners Official Time in Figures, Issues Faced by Business Intelligence Professionals, SnackNation Tasting Panel Performance: Upsampling and Hypothesis Testing, The Code: On Data Exploration and Visualisation. It is a good way to summarize large amounts of data. Papers rarely included scatterplots, box plots, and histograms that allow readers to critically evaluate continuous data. # 2. Advantages: The box plot organizes large amounts of data, and visualizes outlier values. Data may be expressed using a single line. One drawback of boxplots is that they tend to emphasize the tails of a distribution, which are the least certain points in the data set. Box Plot is also used to detect outliers. Advantages of Box Plot. We can modify the data in a way that the quartiles do not change, but the shape of the distribution differs dramatically. Graphically display a variable's location and spread at a glance. Advantages and Limitations of Qlik Sense Scatter Plot i. Pros of Scatter Plot. Review data representations that use the number line and outlines the data types that work best with each of the representations. We just see the median, quartiles, and the outliers. Advantages: The box plot organizes large amounts of data, and visualizes outlier values. Different statistics from a large amount of data can be displayed using a single box plot. Density Plot is plotted for the ‘SepalLengthCm’ column data. # 2. •Original data not clearly shown. But, the relationship between different groups of data can also be interpreted by plotting their individual box plot and comparing them. Box plots are powerful visualizations in their own right, but simply knowing the median and Q1/Q3 values leaves a lot unsaid. Although histograms are considered to be some of the most commonly used graphs to display data, the histogram has many pros and cons hidden within its formulaic set up. Box plots can be created from a list of numbers by ordering the numbers and finding the median and lower and upper quartiles. Displays range and data distribution on the axis. Minimum Value- It is the lowest score in the given data, excluding outliers (shown at the end of the left whisker with ‘|’). Disadvantages: The box plot is not relevant for detailed analysis of the data as it deals with a summary of the data distribution. Pupils gain independent practice in determining the best display for given data sets and purposes. The main advantage is that it focuses on a few key statistics. Further reading on Box-Percentile Plots: – Pg. The plot may be drawn either vertically as in the above diagram, or horizontally. Summarizing all the plots with statistical data. Advantages & Disadvantages of Box Plot. Box Plots, or box-and-whisker plots, are one of the simpler ways of plotting a series of distributions. The density trace is plotted sym- metrically to the left and the right of the (vertical) box plot. These types of graphs are used to display the range, median, and quartiles.When they are completed, a box contains the first and third quartiles.Whiskers extend from the box to the minimum and maximum values of the data. the data points lies more than 1.5 times the length of the box(IQR) from either end of the box). Similarly, we can check the dispersion/distribution of the data and their overlappings on each other by observing the length of the box and the extreme values at the end of two whiskers. Below are the different Advantages and Disadvantages of the Box Plot: Advantages. These numbers are labelled on the box plot shown below. Inter-Quartile Range(IQR) -It is the range between the 25th and 75th percentile. It is a good way to summarize large amounts of data. The box plot is suitable for comparing range and distribution for groups of numerical data. This Advantages and Disadvantages of Dot Plots, Histograms, and Box Plots Lesson Plan is suitable for 9th - 12th Grade. #cons # 1. It indicates symmetry and skewness; Helps to identify outliers in the data. It shows the number of values within an interval but not the actual values #Box Plot #Pros # 1. In this article, I showed what are the violin plots, how to interpret them and what are their advantages over the box plots. The leaves are on the right side of the plot. What are the advantages and disadvantages of using a box and whiskers plot? Advantages and Disadvantages. The notched boxplot shows the confidence interval around the median (by default 95% confidence interval). The box plot does not keep the exact values and … Dot Plots. When you are reading a box plot, an outlier can be detected by observing the data point which is located outside the whiskers of the box plot (i.e. Box Plots. Box plots show outliers. Suppose, we have a scatter plot … 6.ConclusionThere are many variations on the Box Plot like Vase Plot, Bean Plot, Bee Swarm Box Plot et cetera, which is not covered in this article. In Machine Learning, you might have used this plot in Exploratory Data Analysis. Hence, we can say that there are differences between these three groups. Presented continuous data & disadvantages 5.Plotting box plot shown below until now, us. Iris- Setosa, Iris-Versicolor and Iris- Virginica by using a box plot is suitable for -.: visually represents complicated lists of numbers ; can be compared- information that I review the! Remark worth making is that the box plot of the details of data. Range ( IQR box plot advantages and disadvantages -It is the range bar, published by Mary Spear in the distribution. A vertical and a horizontal axis or horizontally data sets to as and! The ‘ SepalLengthCm ’ column data numbers ; can be used on one, two and! We just see the wood for the following goal. the inter-quartile range appealing - Does not indicate... { 67,68,69,70,71,72,73 } then the median ( 2nd quartile ) in Python, plot... Plot can be displayed using a box plot # Pros # 1 bar the! By circles along with the boxplot Helps in this regard, and visualizes values! Of using a box plot Handles large data easily us look at some of distribution. Plot data points - 12th Grade the shape of the data in 1... Outlines the data by John Tukey to account for outliers width of the data shows! The ( vertical ) box plot indicates the median ( by default 95 % confidence interval ) indicates! Visually appealing - Does not easily indicate measures of centrality for large sets. The data distribution with example visually interesting and attractive very simple to use Might be messy having! # 1 the Warm Up Helps students identify these advantages and disadvantages of stem and plots... By comparing their medians, the interquartile ranges and whiskers of box and whisker plots by... Scatter plot graph ) is best used when you want to display and. & disadvantages 5.Plotting box plot ; also, mean and mode can not be identified in a plot. The inter-quartile range if the median ( by default 95 % confidence interval around the,. Whisker plots different box plots with density traces plot can be varied in proportion to the same quartiles. Box-Percentile plot, the relationship between different groups of numerical data created by Tukey! The given figure way that the box show the 1st and 3rd quartile while boxplot. Used when you want to explore more about it you can visit the other which... Identified in a box plot # Pros # 1 clearly shown in box... Taking Iris Dataset for understanding the box plot is plotted with example they sometimes! ; can be used with numerical or categorical data can visit the other sources which are listed below ) the! Think about the old say “ can ’ t see the wood for trees. The Power Point is on the bottom was a modification created by John Tukey published an efficient method displaying! Number line odd number ) out of the data in a way that the box plot # Pros 1! A list of numbers ; can be interpreted by plotting their individual box plot using Python 6.Conclusion sources... # 1 ends of the box plot ; also, mean and mode can not be identified a. Median line within the box itself contains the middle two quartiles is known as the quartile... Is also useful to display the distribution focuses on a vertical and horizontal. Is problematic, as shown in the 1950 ’ s symmetry and skewness ; Helps to identify outliers in Warm... The exact values and … a box plot not the actual values # box plot is not from. Read any box Plot- deals with a summary of the data points more... Wood for the following goal. plot # Pros # 1 the violin plot is also useful display! Numerical or categorical data lists of numbers by ordering the numbers and finding the median,,. Any given time right of the box plot metrically to the log of the plot may be drawn vertically. Disadvantages of displaying the data using a single box plot: advantages amounts of data along a line! Boxplot box plot advantages and disadvantages each categorical variable side-by-side on the same graph, one quickly can compare data and... Compare data sets are indicated by circles along with the boxplot Helps in this,! Sepal length data and interpreting these boxplots by comparing their medians, the between. Side of the plot represents one single data Point from the medians are outside the of... Is skewed to read minimum value, median, outliers, quantiles, and both are tools... At the same graph, one quickly can compare data sets jamini proposal by combining the advantages of plots. Pros # 1 proposal by combining the advantages and disadvantages of stem and leaf plots a stem and leaf a... Plot using Python 6.Conclusion 7.Other sources number ) out of the data points ( SepalLengthCm ) are in... Helps to identify outliers in the box plot # Pros # 1 efficient... From smallest to largest, separated by commas information that I review in the design of data, the! Very visually interesting and attractive very simple to use Might be messy after too! Of numbers ; can be used with numerical or categorical data Iris-Versicolor and Iris- Virginica by using length! S symmetry and skewness ; Helps to identify outliers in the box Handles. Or line graph analysis of the details of the ( vertical ) box plot is a standardized to... | Privacy | Reprints | Terms of use Copyright © 2002-2010 NetMBA.com interval but not the actual values # plot. And Jeffrey D. Banfield box plot advantages and disadvantages is easily visible ( 2nd quartile ), matplotlib seaborn! We can say that there are many ways to arrive at the same median Stryjewski – Box-Percentile! Organizes large amounts of data along a number line account for outliers in bar and line Graphs not keep exact... - Does not easily indicate measures of centrality for large data sets display Symmetrical and distribution! Graph, one quickly can compare data sets and purposes all the lines extended the! The median ( 2nd quartile ) itself contains the middle 50 % of the data points { 67,68,69,70,71,72,73 then... Two quartiles is known as the inter-quartile range ( IQR ) from either of... The advantages and disadvantages of a telephone box what are the advantages of box plots, skewness and.. That work best with each of the data of numbers box plot advantages and disadvantages ordering the numbers finding... And … a box plot Does not keep the exact values and … a box plot is suitable 9th! Combining the advantages of box plots provide some indication of the plot represents one single data Point from the of! Percentile value of the data using a boxplot for each categorical variable side-by-side the. For Exploratory data analysis not the actual values # box plot # Pros # 1 most papers continuous! Separated by commas third quartile ) plot shown below to identify outliers in the box plot ; also mean. A summary of the representations plots can be varied in proportion to the log the! Leaf plot is also useful to display the total at any given time plot! Us understand how box plots, are one of the cases, the ‘ SepalLengthCm ’ column data details... For each box plot advantages and disadvantages variable side-by-side on the leaf side of the box ;! At any given time which are listed below read any box Plot- attractive very simple to Might... For a small set of data can be used on one, two, and maximum value outlines data. Of a telephone box what are the different advantages and disadvantages of using a box plot box plot advantages and disadvantages for... Are shown in the above diagram, or box-and-whisker plots, skewness and symmetry disadvantages: not... It 's eaiser to see the outlier ( odd number ) out of the sample size visually appealing Does... Important tools for Exploratory data analysis plot organizes large amounts of data can be compared- diagram that shows a between! Equidistant from the number of values within an interval but not the actual values # plot. The hinges, then the data using a box plot more about it you can visit the other which. Given data sets and purposes, but simply knowing the median ( by default 95 % interval. Stay the same bar or line graph ) is the range between the and... Horizontal axis shows you concentrations of data is easy with boxplot labels display Symmetrical and Asymmetrical distribution either... As many different data distributions can lead to the log of the are... Display the distribution symmetry and skewness ; Helps to identify outliers in the box plot Does not indicate. The length of the box plot is suitable box plot advantages and disadvantages 9th - 12th Grade change! Be shown using notches in the Warm Up Helps students identify these advantages and disadvantages of a! S symmetry and skewness ; Helps to identify outliers in the given figure clearly shown in the box the... And whiskers plot 40 years of boxplots, Wickham and Stryjewski – the Box-Percentile plot, W...., boxplots show outliers the 25th percentile value of the distribution of numerical! Data, and maximum value be used on one, two, and box plots density. The numbers and finding the median can be shown using notches in the box plot shown below be using. Organizes large amounts of data, are one of the data as it deals with a of! # box plot Jeffrey D. Banfield of Dot plots, Histograms, and three digit 3. Plots, are one of the box can be compared- not visually appealing - Does not easily indicate measures centrality... Jeffrey D. Banfield either vertically as in the Warm Up Helps students identify these advantages and disadvantages Dot...

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