Some Implementations of the Boxplot
An increasing number of statistical software packages offer exploratory data displays and summaries. For one of these, the graphical technique known as the boxplot, a selective survey of popular software packages revealed several definitions. These alternative constructions arise from different choi...
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Veröffentlicht in: | The American statistician 1989-02, Vol.43 (1), p.50-54 |
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creator | Frigge, Michael Hoaglin, David C. Iglewicz, Boris |
description | An increasing number of statistical software packages offer exploratory data displays and summaries. For one of these, the graphical technique known as the boxplot, a selective survey of popular software packages revealed several definitions. These alternative constructions arise from different choices in computing quartiles and the fences that determine whether an observation is "outside" and thus plotted individually. We examine these alternatives and their consequences, discuss related background for boxplots (such as the probability that a sample contains one or more outside observations and the average proportion of outside observations in a sample), and offer recommendations that lead to a single standard form of the boxplot. |
doi_str_mv | 10.1080/00031305.1989.10475612 |
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For one of these, the graphical technique known as the boxplot, a selective survey of popular software packages revealed several definitions. These alternative constructions arise from different choices in computing quartiles and the fences that determine whether an observation is "outside" and thus plotted individually. We examine these alternatives and their consequences, discuss related background for boxplots (such as the probability that a sample contains one or more outside observations and the average proportion of outside observations in a sample), and offer recommendations that lead to a single standard form of the boxplot.</description><subject>Computer software</subject><subject>Data analysis</subject><subject>Exact sciences and technology</subject><subject>Exploratory data analysis</subject><subject>Fences</subject><subject>General topics</subject><subject>Integers</subject><subject>Mathematics</subject><subject>Numerical analysis</subject><subject>Numerical analysis. Scientific computation</subject><subject>Outliers</subject><subject>Quantiles</subject><subject>Quartiles</subject><subject>Sample size</subject><subject>Sciences and techniques of general use</subject><subject>Software</subject><subject>Software packages</subject><subject>Statistical Computing</subject><subject>Statistical median</subject><subject>Statistical software</subject><subject>Statistics</subject><subject>Tiles</subject><issn>0003-1305</issn><issn>1537-2731</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNqFkF9LwzAUxYMoOKdfQYrTx87cpEmWxzn8Mxj4oD6HpE2wo21m0qH79rZ0Q1_Ep8u9_M65h4PQJeAp4Bm-xRhToJhNQc5kd8oE40CO0AgYFSkRFI7RqIfSnjpFZzGuuxULTkZo8uJrmyzrTWVr27S6LX0TE--S9t0md_5rU_n2HJ04XUV7sZ9j9PZw_7p4SlfPj8vFfJXmNCNtSiTn0pFCCGMNc4XjnBmiidAUDMeOSZubbpHccgbArTFFbgFzYwywwtIxuhp8N8F_bG1s1dpvQ9O9VITMMgYkkx00-QsCCpAxQRjtKD5QefAxBuvUJpS1DjsFWPWtqUNrqm9NHVrrhDd7ex1zXbmgm7yMP2pJuZCy564Hbh1bH367E4qFInzGQPQ55gNWNs6HWn_6UBWq1bvKh4M3_SfSNxL6ib8</recordid><startdate>19890201</startdate><enddate>19890201</enddate><creator>Frigge, Michael</creator><creator>Hoaglin, David C.</creator><creator>Iglewicz, Boris</creator><general>Taylor & Francis Group</general><general>American Statistical Association</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>JTYFY</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope></search><sort><creationdate>19890201</creationdate><title>Some Implementations of the Boxplot</title><author>Frigge, Michael ; Hoaglin, David C. ; Iglewicz, Boris</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-29669f2d77beb5fdf665b2a27a31b60f59ecb7a396e65116ebbdce106bbb15de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>Computer software</topic><topic>Data analysis</topic><topic>Exact sciences and technology</topic><topic>Exploratory data analysis</topic><topic>Fences</topic><topic>General topics</topic><topic>Integers</topic><topic>Mathematics</topic><topic>Numerical analysis</topic><topic>Numerical analysis. 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For one of these, the graphical technique known as the boxplot, a selective survey of popular software packages revealed several definitions. These alternative constructions arise from different choices in computing quartiles and the fences that determine whether an observation is "outside" and thus plotted individually. We examine these alternatives and their consequences, discuss related background for boxplots (such as the probability that a sample contains one or more outside observations and the average proportion of outside observations in a sample), and offer recommendations that lead to a single standard form of the boxplot.</abstract><cop>Alexandria, VA</cop><pub>Taylor & Francis Group</pub><doi>10.1080/00031305.1989.10475612</doi><tpages>5</tpages></addata></record> |
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subjects | Computer software Data analysis Exact sciences and technology Exploratory data analysis Fences General topics Integers Mathematics Numerical analysis Numerical analysis. Scientific computation Outliers Quantiles Quartiles Sample size Sciences and techniques of general use Software Software packages Statistical Computing Statistical median Statistical software Statistics Tiles |
title | Some Implementations of the Boxplot |
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