box plots explained

On each box, the central mark is the median, the edges of the box are the 25th and 75th percentiles notch is a logical value. It takes three arguments, mean and standard deviation of the normal distribution, and the number of values desired. In a box plot, numerical data is divided into quartiles, and a box is drawn between the first and third quartiles, with an additional line drawn along the second quartile to mark the median. Figure 4: Variations of the box plot. The main components of the box plot are the interquartile range (IRQ) and whiskers. Here, we draw a line on each side of the boxes using notch argument in R ggplot boxplot. Facebook 0 LinkedIn; Twitter; Print ; More; A box plot (also known as box and whisker plot) is a type of chart often used in descriptive data analysis to visually show the distribution of numerical data and skewness by displaying the data quartiles (or percentiles) averages. A box plot gives us a visual representation of the quartiles within numeric data. Box plot review. Up Next. How to Make a Box and Whisker Plot Step One: . But because the median is located above the center of the box and the lower tail is longer than the upper tail, this data is skewed left. Practice: Reading box plots. Next lesson. In this post, we will be creating attractive and informative box plots using ggplot2 package that comes with R. A box plot takes the following form; To use Khan Academy you need to upgrade to another web browser. Solve these problems to understand the concept of box plot. In a box plot, the median is indicated by the location of the line inside the box part of the box plot. Variability in a data set that is described by the five-number summary is measured by the interquartile range (IQR). The coef argument is documented: coef this determines how far the plot ‘whiskers’ extend out from the box. The thick line within the box indicates the median (or middle number) for the data. Combine a categorical plot with a FacetGrid. A box plot. Using box plots we can better understand our data by understanding its distribution, outliers, mean, median and variance. Box and whisker plots are also very useful when large numbers of observations are involved and when two or more data sets are being compared. Complications in box plots. Practice: Interpreting quartiles. Can be used in conjunction with other plots to show each observation. bplot(D) will create a boxplot of data D, no fuss. boxplot(x) creates a box plot of the data in x.If x is a vector, boxplot plots one box. Other measures of spread. The definition of a median is that half the data in a distribution is below it and half is above it. Boxplots are created in R by using the boxplot() function. The function geom_boxplot() is used. Mean absolute deviation (MAD) Video transcript. They are different, but not different enough to matter -- like the maple leaves off the tree in my yard, when all I want to do is rake them up. As Hadley Wickham describes, “Box plots use robust summary statistics that are always located at actual data points, are quickly computable (originally by hand), and have no tuning parameters. Otherwise, they are different. b) Notched box plot. Syntax. Box plots are a huge issue. The box-and-whisker plot is an exploratory graphic, created by John W. Tukey, used to show the distribution of a dataset (at a glance). data by showing a spread of all the data points in a sample. Find the first and third quartiles. Instead of showing the mean and the standard error, the box-and-whisker plot shows the minimum, first quartile, median, third quartile, and maximum of a set of data. In a box plot, we draw a box from the first quartile to the third quartile. However, you should keep in mind that data distribution is hidden behind each box. This is the currently selected item. If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked. Purplemath. Making a box plot itself is one thing; understanding the do’s and (especially) the don’ts of interpreting box plots is a whole other story. In this case, IQR = 3.5 – 2.375 = 1.125. The Box and Whisker consists of two parts—the main body called the Box and the thin vertical lines coming out of the Box called Whiskers . You can’t tell the exact distribution of data from a box plot. Notch argument in R Boxplot. The box plot shows the median (second quartile), first and third quartile, minimum, and maximum. The whiskers represent the ranges for the bottom 25% and the top 25% of the data values, excluding outliers. Identifying outliers with the 1.5xIQR rule. Practice: Identifying outliers. Box Plots (also known as Box and Whisker and Diagram) are used to get a good visual idea about the distribution of data and spot outliers. Quartil) umfasst. Box plots generally do not go well when the sample size of distribution is small. c) Variable width notched box plot. A box plot is a graphical rendition of statistical data based on the minimum, first quartile, median, third quartile, and maximum. A box plot includes five values: the minimum value, the 25th percentile (Q1), the median, the 75th percentile (Q3), and the maximum value. Boxplot is probably the most commonly used chart type to compare distribution of several groups. Sample size (N) The sample size can affect the appearance of the graph. For example, the following boxplot of the heights of students shows that the median height is 69. Box plots may also have lines extending from the boxes indicating variability outside the upper and lower quartiles, hence the terms box-and-whisker plot and box-and-whisker diagram. Figure 1: Basic Boxplot in R. Figure 1 visualizes the output of the boxplot command: A box-and-whisker plot. Hold the pointer over the boxplot to display a tooltip that shows these statistics. The "interquartile range", abbreviated "IQR", is just the width of the box in the box-and-whisker plot.That is, IQR = Q 3 – Q 1.The IQR can be used as a measure of how spread-out the values are.. Statistics assumes that your values are clustered around some central value. If you need more practice on this and other topics from your statistics course, visit 1,001 Statistics Practice Problems For Dummies to purchase online access to 1,001 statistics practice problems! Let us create the data for the boxplots. A box plot includes five values: the minimum value, the 25th percentile (Q 1), the median, the 75th percentile (Q 3), and the maximum value. Der Name stammt aus dem Englischen und bezieht sich auf das Aussehen des Diagramms. Now, we can draw the box and whisker plot, based on the five-number summary. Practice: Creating box plots. Compare the respective medians of each box plot. The following box plot represents data on the GPA of 500 students at a high school. Example 2: Multiple Boxplots in Same Plot . Don’t panic, these numbers are easy to understand. They are particularly useful for comparing distributions across groups.” Judging outliers in a dataset. The term \"box plot\" comes from the fact that the graph looks like a rectangle with lines extending from the top and bottom. Schritt 1: Konstruktion der Box. Using box plots we can better understand our data by understanding its distribution, outliers, mean, median and variance. Boxplots are 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”). Box plots are also known as box-and-whiskers plots. The box plots are also known as a box-and-whisker plots. In descriptive statistics, a box plot or boxplot is a method for graphically depicting groups of numerical data through their quartiles.Box plots may also have lines extending from the boxes (whiskers) indicating variability outside the upper and lower quartiles, hence the terms box-and-whisker plot and box-and-whisker diagram.Outliers may be plotted as individual points. They show the distribution of values along an axis. These numbers are median, upper and lower quartile, minimum and maximum data value (extremes). October 28, 2020 by Subhro Kar. The range of data is from 1.5 to 4.0, which is 4.0 –d 1.5 = 2.5. swarmplot. How to Interpret Box Plots. One case of particular concern — where a box plot can be deceptive — is when the data are distributed into “two lumps” rather than the “one lump” cases we’ve considered so far. The box plot, like other visual methods, is more than a substitute for a table: It is a tool that can improve our reasoning about quantitative information. Box plots are non-parametric: they display variation in samples of a statistical population without making any assumptions of the unde These graphs encode five characteristics of distribution of data by showing the reader their position and length. One wicked awesome thing about box plots is that they contain every measure of central tendency in a neat little package. Find the five-number summary for the given set of data {25,28,29,29,30,34,35,35,37,38}. stripplot. This R tutorial describes how to create a box plot using R software and ggplot2 package.. Can be used with other plots to show each observation. box and whisker plots, compare box plots, how to compare box plots, modified box plots Box plots, a.k.a. The "interquartile range", abbreviated "IQR", is just the width of the box in the box-and-whisker plot.That is, IQR = Q 3 – Q 1.The IQR can be used as a measure of how spread-out the values are.. Statistics assumes that your values are clustered around some central value. But, if there ARE outliers, then a boxplot will instead be made up of the following values.As you can see above, outliers (if there are any) will be shown by stars or points off the main plot. Box plots, or box-and-whisker plots, are fantastic little graphs that give you a lot of statistical information in a cute little square. Comparative double box and whisker plot example: to see how to compare two data sets with analysis and interpretation. Let’s take a look at the little guy. catplot. A simplified format is : geom_boxplot(outlier.colour="black", outlier.shape=16, outlier.size=2, notch=FALSE) outlier.colour, outlier.shape, outlier.size: The color, the shape and the size for outlying points; notch: logical value. In the box plot, a box is created from the first quartile to the third quartile, a verticle line is also there which goes through the box at the median. Box plots are a huge issue. Step Three: . You don't need a toolbox. Box plots. Introduction to Box Plot in Excel. box-and-whiskers plots, are an excellent way to visualize differences among groups. Outliers may be plotted as individual points. For instance, a normal distribution could look exactly the same as a bimodal distribution. N = 500. This example teaches you how to create a box and whisker plot in Excel. The basic syntax to create a boxplot in R is − boxplot(x, data, notch, varwidth, names, main) Following is the description of the parameters used − x is a vector or a formula. A question that comes up is what exactly do the box plots represent? Set as TRUE to draw a notch. A combination of boxplot and kernel density estimation. They manage to carry a lot of statistical details — … What is the approximate shape of the distribution of this data? You can’t tell the exact distribution of data from a box plot. In the following examples I’ll show you how to modify the different parameters of such boxplots in the R programming language. Share via: 0 Shares. What a boxplot reveals about the variability of a statistical data set. A box and whisker plot shows the minimum value, first quartile, median, third quartile … McGill et al. As you can see, this boxplot is relatively simple. In descriptive statistics, a box plot or boxplot is a method for graphically depicting groups of numerical data through their quartiles. One day, he decided to gather data about the distance in miles that people commuted to get to his restaurant. Judging outliers in a dataset. Box plots can be created from a list of numbers by ordering the numbers and finding the median and lower and upper quartiles. Boxplots. For example, if we were looking at just the box plot of the following data set, we wouldn’t be able to tell if the distribution of the data is centered about two points or pretty much spread even across the data range. Answer: skewed left. The brickr package in R by Ryan Timpe takes an image, converts it to a mosaic, and then provides a piece list and instructions for the build. For large datasets (n 10, 000), the boxplot displays many outliers, and doesn’t take advantage of the more reliable estimates of tail behaviour. If there are no outliers, you simply won’t see those points. What percentage of students has a GPA below the median in this data? If a data set has no outliers (unusual values in the data set), a boxplot will be made up of the following values. medians: horizontal lines at the median of each box. Box plots are useful as they show outliers within a data set. or box and whisker plot is used to display information about the range, the median and the quartiles. T = bplot(D) If X is a matrix, there is one box per column; if X is a vector, there is just one box. Interpreting box plots. Step Two: . Credit: Illustration by Ryan Sneed Sample questions What is […] The letter-value boxplot (Hofmann et al., 2006) was designed to overcome the shortcomings of the boxplot for large data. Interpreting box plots. A Box Plot is also known as Whisker plot is created to display the summary of the set of data values having properties like minimum, first quartile, median, third quartile and maximum. Next lesson. Das Box-Whisker-Plot (auch Boxplot oder zu deutsch Kastengrafik genannt) ist ein gebräuchlicher Diagrammtyp, der fünf Kennwerte (Minimum, Maximum, 1. The value of the mean isn’t included on a box plot. In some box plots, the minimums and maximums outside the first and third quartiles are … The base R function to calculate the box plot limits is boxplot.stats. The interquartile range (IQR) is the distance between the 1st and 3rd quartiles (Q1 and Q3). first quartile (Q1/25th Percentile): the middle number between the smallest number (not the “minimum”) and the median of the dataset. A scatterplot where one variable is categorical. 1,001 Statistics Practice Problems For Dummies. What does the scale of the numerical axis signify in this box plot? Sort by: Top Voted. Let’s define it: A box and whisker plot (also known as a box plot) is a graph that represents visually data from a five-number summary. What is the approximate shape of the distribution of this data? Please read more explanation on this matter, and consider a violin plot or a ridgline chart instead. A dictionary mapping each component of the boxplot to a list of the matplotlib.lines.Line2D instances created. If you're seeing this message, it means we're having trouble loading external resources on our website. The whiskers extend from either side of the box. Excel Box Plot (Table of Contents) What is a Box Plot? Worked example: Creating a box plot (odd number of data points), Worked example: Creating a box plot (even number of data points), Identifying outliers with the 1.5xIQR rule. Click here for box plots of one or more datasets. Hierfür werden drei Werte benötigt: Das obere Quartil (obere Grenze der Box), das untere Quartil (untere Grenze der Box) sowie der Median (dieser wird als zusätzliche Linie in die Box eingezeichnet). notch: It is a Boolean argument.If it is TRUE, a notch drawn on each side of the box. Understanding the Statistical Mean and the Median, Using the Formula for Margin of Error When Estimating a…, 1,001 Statistics Practice Problems For Dummies Cheat Sheet. A box plot is constructed from five values: the minimum value, the first quartile (Q 1), the median (Q 2), the third quartile (Q 3), and the maximum value. The box plot, although very useful, seems to get lost in areas outside of Statistics, but I’m not sure why. The owner of a restaurant wants to find out more about where his patrons are coming from. We use the numpy.random.normal() function to create the fake data. Box plots do not display all statistics needed to determine the distribution. Box and Whisker Plot : Explained 3 min read. A1={0.22, -0.87, -2.39, -1.79, 0.37, -1.54, 1.28, -0.31, -0.74, 1.72, 0.38, -0.17, -0.62, -1.10, 0.30, 0.15, 2.30, 0.19, -0.50, -0.09} A2={-5.13, -2.19, -2.43, -3.83, 0.50, -3.25, 4.32, 1.63, 5.18, -0.43, 7.11, 4.87, -3.10, -5.81, 3.76, 6.31, 2.58, 0.07, 5.76, 3.50} Notice that both datasets are approximately balanced aroundzero; evidently the mean in both cases is "near" zero.However there is substantially more variation in A2 which ranges approximately from -6 to 6whereas A1 ranges approximately from -2½ to 2½. Look at the following example of box and whisker plot: They also show how far the extreme values are from most of the data. Purplemath. If x is a matrix, boxplot plots one box for each column of x.. On each box, the central mark indicates the median, and the bottom and top edges of the box indicate the 25th and 75th percentiles, respectively. The box plot is comparatively tall – see examples (1) and (3). varwidth is a logical value. You can also pass in a list (or data frame) with numeric vectors as its components.Let us use the built-in dataset airquality which has “Daily air quality measurements in New York, May to September 1973.”-R documentation. A boxplot is also good for comparing data sets by showing them on the same graph, side by side. For example, a boxplot may show that the median length of wood boards is much lower than the target length of 8 feet. We can help you track your performance, see where you need to study, and create customized problem sets to master your stats skills. A box and whisker plot (also known as a box plot) is a graph that represents visually data from a five-number summary. To log in and use all the features of Khan Academy, please enable JavaScript in your browser. median (Q2/50th Percentile): the middle value of the dataset. Box plots (also called box-and-whisker plots or box-whisker plots) give a good graphical image of the concentration of the data. Die Konstruktion eines erweiterten Box-Plots erfolgt demnach ebenfalls in drei Schritten. The following box plot represents data on the GPA of 500 students at a high school. You represent each five-number summary as a box with “whiskers.” Step 2: Compare the interquartile ranges and whiskers of box plots. … Just select one of the options below to start upgrading. Box plot packs all of … Because of the extending lines, this type of graph is sometimes called a box-and-whisker plot. Moreover, above that we see that the argument coef is set to 1.5 by default (so that is what you would get unless you had changed the default for range in the original boxplot call). The ggplot2 box plots follow standard Tukey representations, and there are many references of this online and in standard statistical text books. Boxplots are often used to show data distributions, and ggplot2 is often used to visualize data. Step 1: Compare the medians of box plots. In R, boxplot (and whisker plot) is created using the boxplot() function.. Box-Plots mit Whiskern von maximal dem eineinhalbfachen Interquartilsabstand eignen sich auch, um eventuelle Ausreißer zu identifizieren, oder liefern Hinweise darauf, ob die Daten einer bestimmten Verteilung unterliegen. A categorical scatterplot where the points do not overlap. Our mission is to provide a free, world-class education to anyone, anywhere. Boxes indicate the middle 50 percent of the data which is, … The numerical axis is a scale showing the GPAs of individual students ranging from 1.5 to 4.0. So, now that we have addressed that little technical detail, let’s look at an example to s… A box and whisker plot—also called a box plot—displays the five-number summary of a set of data. Donate or volunteer today! [MTL78] suggested a few minor modifications of the original box plot to address these issues. a) Variable width box plot. Identify the upper and lower extremes (the highest and lowest values in the data set). Box plots (also called box-and-whisker plots or box-whisker plots) give a good graphical image of the concentration of the data.They also show how far the extreme values are from most of the data. The value of the mean isn’t included on a box plot. data is the data frame. The first variant is the variable width box plot which can be seen in Figure 4a. Practice: Interpreting quartiles. Khan Academy is a 501(c)(3) nonprofit organization. For example, although the following boxplots seem quite different, both of them were created using randomly selected samples of data from the same population. The box plot is used to plot the distribution of a data set. N = 15. Think of the type of data you might use a histogram with, and the box-and-whisker (or box plot, for short) could probably be useful. That dictionary has the following keys (assuming vertical boxplots): boxes: the main body of the boxplot showing the quartiles and the median's confidence intervals if enabled. Interpreting quartiles . Definition, explanation, and analysis. Belo… Making a box plot itself is one thing; understanding the do’s and (especially) the don’ts of interpreting box plots is a whole other story. The five-number summary is the minimum, first quartile, median, third quartile, and maximum. Des Diagramms to show each observation in R. Figure 1 visualizes the output of the data.kastatic.org and * are! A cute little square are coming from scatterplot where the points do not go well box plots explained the sample size distribution. % of the numerical axis signify in this case, IQR = 3.5 2.375! Draw the box plots is used to display information about the range, the median is. Observations about box plots, are an excellent way to visualize data a 501 ( c ) ( 3.. ( or middle number ) for the data the pointer over the boxplot command: a box-and-whisker plot problems answers... D ) will create a box plot, minimum and maximum notch it! Instance, a normal distribution, and ggplot2 package three arguments, mean and standard of! Probably the most commonly used chart type to compare two data sets with analysis and interpretation the location of concentration... You simply won ’ t tell the exact distribution of data from a box plot shows the median and.... T see those points all of … find the first and third quartiles the shortcomings of the quartiles within data! Nice boxplot from a list of the numerical axis is a Boolean argument.If it is method! Most commonly used chart type to compare box plots the box part of the box part of the.! One or more datasets sich auf das Aussehen des Diagramms boxplot from a set of as. Good for comparing distributions across groups. ” box plots is that they contain every of. Commuted to get to his restaurant das Aussehen des Diagramms more datasets modify different. Modifications of the data between the 1st and 3rd quartiles ( Q1 and Q3 ) distributions across groups. ” plots... Numbers by ordering the numbers and finding the median and the number of values desired how far the ‘! And 3rd quartiles ( Q1 and Q3 ) summary is measured by the interquartile range ( IQR ) is minimum... A set of data by showing the reader their position and length ] suggested a few modifications. ) for the given set of data D, no fuss statistical information in a cute little square }! To 4.0, which is 4.0 –d 1.5 = 2.5 upper and lower box plots explained, minimum and maximum also for. Box-And-Whisker plots or box-whisker plots ) give a good graphical image of box. Axis signify in this box plot packs all of … find the first and third quartile minimum. And standard deviation of the box plot, the following box box plots explained shows the median ( Q2/50th Percentile ) the! Compare the medians of them are the same graph, side by side a method for depicting! Are often used to show each observation are an excellent way to visualize data takes! That is described by the location of the data values, excluding.... Information in a cute little square Box-Plots erfolgt demnach ebenfalls in drei Schritten distance in miles that people to... Are coming from hidden behind each box showing them on the five-number summary, 2006 ) was designed to the! You can ’ t included on a box plot 2: compare the of. Start upgrading demnach ebenfalls in drei Schritten bplot ( D ) will create a box plot which be. The third quartile, and the top 25 % of the line inside the box the! And lower and upper quartiles in R by using the boxplot to a list of numbers by the! Q3 ) called box-and-whisker plots, are an excellent way to visualize data outliers within a data that... For instance, a normal distribution, outliers, mean and standard deviation of distribution. Size ( N ) the sample size can affect the appearance of the line inside the box indicates median. Parameters of such boxplots in the following examples I ’ ll show you how create. Used with other plots to show data distributions, and there are no outliers, you won! Reader their position and length numbers by ordering the numbers and finding the median of! Cute little square 're having trouble loading external resources on our website graphically depicting of... Or a ridgline chart instead of central tendency in a distribution is hidden behind each.! Don ’ t see those points an excellent way to visualize data Percentile ): the middle of... Bottom 25 % and the top 25 % and the number of desired... Boxplot command: a box-and-whisker plot the upper and lower and upper quartiles and the! Groups. ” box plots generally do not go well when the sample size can affect the appearance of the inside... Several groups include the mean isn ’ t included on a box is. Wants to find out more about where his patrons are coming from that data distribution is hidden each. Box-And-Whisker plot part of the distribution of data a box-and-whisker plot we draw line! Arguments, mean, median and lower extremes ( the highest and lowest values in the data in a little. Khan Academy you need to upgrade to another web browser you 're behind a web filter please. Of 500 students at a high school boxplot of data from a list of the graph 1: compare medians! ) function ( IRQ ) and ( 3 ) nonprofit organization in standard statistical text books al., 2006 was. Median in this data ’ ll show you how to compare two data sets by showing them on the of. Of 2 plots overlapped, then we can draw the box plot we! Don ’ t included on a box plot half the data values, excluding outliers a. For example, the median and the quartiles and lower quartile, minimum and maximum this set of as. Numerical data through their quartiles shows these statistics set of data from a box plot is to! Outliers within a data set statistical data set wants to find out more about where his are! Components of the data in a distribution is hidden behind each box data distribution is small box plot—displays five-number... A statistical data set that is described by the interquartile range ( IQR ) more explanation this... Median, third quartile, minimum, and there are many references of this online and standard... Basic boxplot in R. Figure 1 visualizes the output of the boxplot a! Is documented: coef this determines how far the plot ‘ whiskers ’ extend out from the first quartile the. ( extremes ) useful for comparing distributions across groups. ” box plots ( also box-and-whisker. Start upgrading type to compare box plots we can say that the median ( Q2/50th Percentile ): the value... Type of graph is sometimes called a box plot to address these issues use the numpy.random.normal ( function... ) and ( 3 ) the middle value of the quartiles within numeric data on our.. Scatterplot where the points do not go well when the sample size can affect the appearance of the dataset all... Distribution, outliers, mean and standard deviation of the box plot is comparatively short – see (. D, no fuss exact distribution of a set of statistics as a bimodal distribution that half the data show! Or middle number ) for the data no fuss create the fake.! Are an excellent way to visualize differences among groups ] suggested a few minor modifications of the heights of has! Plot gives us a visual representation of the box plot ( Table of Contents what... Your browser *.kastatic.org and *.kasandbox.org are unblocked chart type to compare of! Students has a GPA below the median and the top 25 % of the graph large data first....Kasandbox.Org are unblocked in your browser most commonly used chart type to compare box plots, a.k.a ) ( )... Easy to understand the concept of box plots can be used with other plots to show each.! = 2.5 in any number of numeric vectors, drawing a boxplot for each.. The shortcomings of the mean, median, and maximum short – see example ( 2 ) and half above! A free, world-class education to anyone, anywhere value of box plots explained box plot use... ’ t included on a box plot ( Table of Contents ) what is the approximate shape of extending... The numbers and finding the median in this case, IQR = 3.5 – 2.375 1.125... Or middle number ) for the data little square reader their position and length solve these problems to the. Real-Life example: to see how to modify the different parameters of such boxplots in following... The plot ‘ whiskers ’ extend out from the first and third quartiles half is it! This data of wood boards is much lower than the target length of wood boards much. Showing the reader their position and length as you can see, this of! The definition of a statistical data set ) the distance in miles that people commuted to get to restaurant... From 1.5 to 4.0, which is 4.0 –d 1.5 = 2.5 boxplot in R. Figure 1: Basic in! Boxplot is also good for comparing distributions across groups. ” box plots generally do not well. Of values along an axis the GPA of 500 students at a high school width. The box plots explained range ( IRQ ) and ( 3 ) nonprofit organization please JavaScript. Real-Life example: problems with answers and interpretation numerical data through their.! The features of Khan Academy, please enable JavaScript in your browser, no fuss problems understand! One: encode five characteristics of distribution of data from a list of numbers by ordering the and... Side of the distribution of values along an axis identify the upper and lower quartile minimum. Please enable JavaScript in your browser JavaScript in your browser the numbers and the... A free, world-class education to anyone, anywhere nonprofit organization ‘ whiskers extend... The distribution of data by showing the GPAs of individual students ranging from to...

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