SOCR Data 052511 IrisSepalPetalClasses - Revision history

IvoDinov: /* Data Description */

2011-05-25T18:26:01Z

‎Data Description

IvoDinov: /* Data Description */

2011-05-25T18:21:36Z

‎Data Description

IvoDinov: /* Data Description */ typo

2011-05-25T18:21:07Z

‎Data Description: typo

IvoDinov: Created page with '== SOCR Data - Fisher's multivariate dataset on iris sepal and petal length == ===Data Description=== These data were acquired for and used by [http://en.wikipedi…'

2011-05-25T18:20:48Z

Created page with '== SOCR Data - Fisher's multivariate dataset on iris sepal and petal length == ===Data Description=== These data were acquired for and used by [http://en.wikipedi…'

New page

== [[SOCR_Data |SOCR Data]] - Fisher's multivariate dataset on iris sepal and petal length ==

===Data Description===
These data were acquired for and used by [http://en.wikipedia.org/wiki/Ronald_Fisher R.A. Fisher] to study The use of multiple measurements in taxonomic problems.

These data are commonly used in the pattern recognition and multivariate data analyses. The data set contains 3 classes (Iris types) each containing 50 observations (for a total of 150 observations). One class is linearly separable from the other two, but the latter are difficult to linearly separable from each other. The class of the iris plant may be used as the predicted variable. There are 4 variables which can be used as predictive (explanatory) attributes of the Iris class.

* '''Variables''':
** Sepal_Length(cm): [ sepal] length in cm
** Sepal_Width(cm): sepal width in cm
** Petal_Length(cm): petal length in cm
** Petal_Width(cm): petal width in cm
** Iris_Class: class (Iris Setosa, Iris Versicolour, Iris Virginica)
* '''Data Summary Statistics'''
<center>
{| class="wikitable"
|-
! Variable || Min || Max||Mean|| SD||Class||Correlation
|-
| sepal length ||4.3||7.9||5.84||0.83||0.7826
|-
| sepal width||2.0||4.4||3.05||0.43||-0.4194
|-
| petal length||1.0|| 6.9||3.76||1.76|| 0.9490
|-
| petal width||0.1||2.5||1.20||0.76|| 0.9565
|}
</center>

===Iris sepal and petal length dataset===

<center>
{| class="wikitable"
|-
! Sepal_Length(cm)||Sepal_Width(cm)||Petal_Length(cm)||Petal_Width(cm)||Iris_Class
|-
| 5.1||3.5||1.4||0.2||Iris-setosa
|-
| 4.9||3.0||1.4||0.2||Iris-setosa
|-
| 4.7||3.2||1.3||0.2||Iris-setosa
|-
| 4.6||3.1||1.5||0.2||Iris-setosa
|-
| 5.0||3.6||1.4||0.2||Iris-setosa
|-
| 5.4||3.9||1.7||0.4||Iris-setosa
|-
| 4.6||3.4||1.4||0.3||Iris-setosa
|-
| 5.0||3.4||1.5||0.2||Iris-setosa
|-
| 4.4||2.9||1.4||0.2||Iris-setosa
|-
| 4.9||3.1||1.5||0.1||Iris-setosa
|-
| 5.4||3.7||1.5||0.2||Iris-setosa
|-
| 4.8||3.4||1.6||0.2||Iris-setosa
|-
| 4.8||3.0||1.4||0.1||Iris-setosa
|-
| 4.3||3.0||1.1||0.1||Iris-setosa
|-
| 5.8||4.0||1.2||0.2||Iris-setosa
|-
| 5.7||4.4||1.5||0.4||Iris-setosa
|-
| 5.4||3.9||1.3||0.4||Iris-setosa
|-
| 5.1||3.5||1.4||0.3||Iris-setosa
|-
| 5.7||3.8||1.7||0.3||Iris-setosa
|-
| 5.1||3.8||1.5||0.3||Iris-setosa
|-
| 5.4||3.4||1.7||0.2||Iris-setosa
|-
| 5.1||3.7||1.5||0.4||Iris-setosa
|-
| 4.6||3.6||1.0||0.2||Iris-setosa
|-
| 5.1||3.3||1.7||0.5||Iris-setosa
|-
| 4.8||3.4||1.9||0.2||Iris-setosa
|-
| 5.0||3.0||1.6||0.2||Iris-setosa
|-
| 5.0||3.4||1.6||0.4||Iris-setosa
|-
| 5.2||3.5||1.5||0.2||Iris-setosa
|-
| 5.2||3.4||1.4||0.2||Iris-setosa
|-
| 4.7||3.2||1.6||0.2||Iris-setosa
|-
| 4.8||3.1||1.6||0.2||Iris-setosa
|-
| 5.4||3.4||1.5||0.4||Iris-setosa
|-
| 5.2||4.1||1.5||0.1||Iris-setosa
|-
| 5.5||4.2||1.4||0.2||Iris-setosa
|-
| 4.9||3.1||1.5||0.2||Iris-setosa
|-
| 5.0||3.2||1.2||0.2||Iris-setosa
|-
| 5.5||3.5||1.3||0.2||Iris-setosa
|-
| 4.9||3.6||1.4||0.1||Iris-setosa
|-
| 4.4||3.0||1.3||0.2||Iris-setosa
|-
| 5.1||3.4||1.5||0.2||Iris-setosa
|-
| 5.0||3.5||1.3||0.3||Iris-setosa
|-
| 4.5||2.3||1.3||0.3||Iris-setosa
|-
| 4.4||3.2||1.3||0.2||Iris-setosa
|-
| 5.0||3.5||1.6||0.6||Iris-setosa
|-
| 5.1||3.8||1.9||0.4||Iris-setosa
|-
| 4.8||3.0||1.4||0.3||Iris-setosa
|-
| 5.1||3.8||1.6||0.2||Iris-setosa
|-
| 4.6||3.2||1.4||0.2||Iris-setosa
|-
| 5.3||3.7||1.5||0.2||Iris-setosa
|-
| 5.0||3.3||1.4||0.2||Iris-setosa
|-
| 7.0||3.2||4.7||1.4||Iris-versicolor
|-
| 6.4||3.2||4.5||1.5||Iris-versicolor
|-
| 6.9||3.1||4.9||1.5||Iris-versicolor
|-
| 5.5||2.3||4.0||1.3||Iris-versicolor
|-
| 6.5||2.8||4.6||1.5||Iris-versicolor
|-
| 5.7||2.8||4.5||1.3||Iris-versicolor
|-
| 6.3||3.3||4.7||1.6||Iris-versicolor
|-
| 4.9||2.4||3.3||1.0||Iris-versicolor
|-
| 6.6||2.9||4.6||1.3||Iris-versicolor
|-
| 5.2||2.7||3.9||1.4||Iris-versicolor
|-
| 5.0||2.0||3.5||1.0||Iris-versicolor
|-
| 5.9||3.0||4.2||1.5||Iris-versicolor
|-
| 6.0||2.2||4.0||1.0||Iris-versicolor
|-
| 6.1||2.9||4.7||1.4||Iris-versicolor
|-
| 5.6||2.9||3.6||1.3||Iris-versicolor
|-
| 6.7||3.1||4.4||1.4||Iris-versicolor
|-
| 5.6||3.0||4.5||1.5||Iris-versicolor
|-
| 5.8||2.7||4.1||1.0||Iris-versicolor
|-
| 6.2||2.2||4.5||1.5||Iris-versicolor
|-
| 5.6||2.5||3.9||1.1||Iris-versicolor
|-
| 5.9||3.2||4.8||1.8||Iris-versicolor
|-
| 6.1||2.8||4.0||1.3||Iris-versicolor
|-
| 6.3||2.5||4.9||1.5||Iris-versicolor
|-
| 6.1||2.8||4.7||1.2||Iris-versicolor
|-
| 6.4||2.9||4.3||1.3||Iris-versicolor
|-
| 6.6||3.0||4.4||1.4||Iris-versicolor
|-
| 6.8||2.8||4.8||1.4||Iris-versicolor
|-
| 6.7||3.0||5.0||1.7||Iris-versicolor
|-
| 6.0||2.9||4.5||1.5||Iris-versicolor
|-
| 5.7||2.6||3.5||1.0||Iris-versicolor
|-
| 5.5||2.4||3.8||1.1||Iris-versicolor
|-
| 5.5||2.4||3.7||1.0||Iris-versicolor
|-
| 5.8||2.7||3.9||1.2||Iris-versicolor
|-
| 6.0||2.7||5.1||1.6||Iris-versicolor
|-
| 5.4||3.0||4.5||1.5||Iris-versicolor
|-
| 6.0||3.4||4.5||1.6||Iris-versicolor
|-
| 6.7||3.1||4.7||1.5||Iris-versicolor
|-
| 6.3||2.3||4.4||1.3||Iris-versicolor
|-
| 5.6||3.0||4.1||1.3||Iris-versicolor
|-
| 5.5||2.5||4.0||1.3||Iris-versicolor
|-
| 5.5||2.6||4.4||1.2||Iris-versicolor
|-
| 6.1||3.0||4.6||1.4||Iris-versicolor
|-
| 5.8||2.6||4.0||1.2||Iris-versicolor
|-
| 5.0||2.3||3.3||1.0||Iris-versicolor
|-
| 5.6||2.7||4.2||1.3||Iris-versicolor
|-
| 5.7||3.0||4.2||1.2||Iris-versicolor
|-
| 5.7||2.9||4.2||1.3||Iris-versicolor
|-
| 6.2||2.9||4.3||1.3||Iris-versicolor
|-
| 5.1||2.5||3.0||1.1||Iris-versicolor
|-
| 5.7||2.8||4.1||1.3||Iris-versicolor
|-
| 6.3||3.3||6.0||2.5||Iris-virginica
|-
| 5.8||2.7||5.1||1.9||Iris-virginica
|-
| 7.1||3.0||5.9||2.1||Iris-virginica
|-
| 6.3||2.9||5.6||1.8||Iris-virginica
|-
| 6.5||3.0||5.8||2.2||Iris-virginica
|-
| 7.6||3.0||6.6||2.1||Iris-virginica
|-
| 4.9||2.5||4.5||1.7||Iris-virginica
|-
| 7.3||2.9||6.3||1.8||Iris-virginica
|-
| 6.7||2.5||5.8||1.8||Iris-virginica
|-
| 7.2||3.6||6.1||2.5||Iris-virginica
|-
| 6.5||3.2||5.1||2.0||Iris-virginica
|-
| 6.4||2.7||5.3||1.9||Iris-virginica
|-
| 6.8||3.0||5.5||2.1||Iris-virginica
|-
| 5.7||2.5||5.0||2.0||Iris-virginica
|-
| 5.8||2.8||5.1||2.4||Iris-virginica
|-
| 6.4||3.2||5.3||2.3||Iris-virginica
|-
| 6.5||3.0||5.5||1.8||Iris-virginica
|-
| 7.7||3.8||6.7||2.2||Iris-virginica
|-
| 7.7||2.6||6.9||2.3||Iris-virginica
|-
| 6.0||2.2||5.0||1.5||Iris-virginica
|-
| 6.9||3.2||5.7||2.3||Iris-virginica
|-
| 5.6||2.8||4.9||2.0||Iris-virginica
|-
| 7.7||2.8||6.7||2.0||Iris-virginica
|-
| 6.3||2.7||4.9||1.8||Iris-virginica
|-
| 6.7||3.3||5.7||2.1||Iris-virginica
|-
| 7.2||3.2||6.0||1.8||Iris-virginica
|-
| 6.2||2.8||4.8||1.8||Iris-virginica
|-
| 6.1||3.0||4.9||1.8||Iris-virginica
|-
| 6.4||2.8||5.6||2.1||Iris-virginica
|-
| 7.2||3.0||5.8||1.6||Iris-virginica
|-
| 7.4||2.8||6.1||1.9||Iris-virginica
|-
| 7.9||3.8||6.4||2.0||Iris-virginica
|-
| 6.4||2.8||5.6||2.2||Iris-virginica
|-
| 6.3||2.8||5.1||1.5||Iris-virginica
|-
| 6.1||2.6||5.6||1.4||Iris-virginica
|-
| 7.7||3.0||6.1||2.3||Iris-virginica
|-
| 6.3||3.4||5.6||2.4||Iris-virginica
|-
| 6.4||3.1||5.5||1.8||Iris-virginica
|-
| 6.0||3.0||4.8||1.8||Iris-virginica
|-
| 6.9||3.1||5.4||2.1||Iris-virginica
|-
| 6.7||3.1||5.6||2.4||Iris-virginica
|-
| 6.9||3.1||5.1||2.3||Iris-virginica
|-
| 5.8||2.7||5.1||1.9||Iris-virginica
|-
| 6.8||3.2||5.9||2.3||Iris-virginica
|-
| 6.7||3.3||5.7||2.5||Iris-virginica
|-
| 6.7||3.0||5.2||2.3||Iris-virginica
|-
| 6.3||2.5||5.0||1.9||Iris-virginica
|-
| 6.5||3.0||5.2||2.0||Iris-virginica
|-
| 6.2||3.4||5.4||2.3||Iris-virginica
|-
| 5.9||3.0||5.1||1.8||Iris-virginica
|}
</center>

===References===
* Fisher,R.A. [http://digital.library.adelaide.edu.au/dspace/bitstream/2440/15227/1/138.pdf The use of multiple measurements in taxonomic problems], Annual Eugenics, 7, Part II, 179-188 (1936);
* Fisher,R.A. "Contributions to Mathematical Statistics", John Wiley, NY, 1950.

<hr>
* SOCR Home page: http://www.socr.ucla.edu

{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_Data_052511_IrisSepalPetalClasses}}

@@ Line 4: / Line 4: @@
 These data were acquired for and used by [http://en.wikipedia.org/wiki/Ronald_Fisher R.A. Fisher] to study the use of multiple measurements in taxonomic problems.
-These data are commonly used in the pattern recognition and multivariate data analyses. The data set contains 3 classes (Iris types) each containing 50 observations (for a total of 150 observations). One class is linearly separable from the other two, but the latter are difficult to linearly separable from each other. The class of the iris plant may be used as the predicted variable. There are 4 variables which can be used as predictive (explanatory) attributes of the Iris class.
+These data are commonly used in the pattern recognition and multivariate data analyses. The data set contains 3 classes ([http://en.wikipedia.org/wiki/Iris_%28plant%29 Iris types]) each containing 50 observations (for a total of 150 observations). One class is linearly separable from the other two, but the latter are difficult to linearly separable from each other. The class of the iris plant may be used as the predicted variable. There are 4 variables which can be used as predictive (explanatory) attributes of the Iris class.
 * '''Variables''':
-** Sepal_Length(cm): [ sepal] length in cm
+** Sepal_Length(cm): Iris [http://en.wikipedia.org/wiki/Sepal sepal] length in cm
-** Sepal_Width(cm): sepal width in cm
+** Sepal_Width(cm): Iris [http://en.wikipedia.org/wiki/Sepal sepal] width in cm
-** Petal_Length(cm): petal length in cm
+** Petal_Length(cm): Iris [http://en.wikipedia.org/wiki/Petal petal] length in cm
-** Petal_Width(cm): petal width in cm
+** Petal_Width(cm): Iris [http://en.wikipedia.org/wiki/Petal petal] width in cm
 ** Iris_Class: class (Iris Setosa, Iris Versicolour, Iris Virginica)
 * '''Data Summary Statistics'''

@@ Line 16: / Line 16: @@
 {| class="wikitable"
 |-
-! Variable || Min || Max||Mean|| SD||Class||Correlation
+! Variable || Min || Max||Mean|| SD||Class
 |-
 | sepal length ||4.3||7.9||5.84||0.83||0.7826

@@ Line 2: / Line 2: @@
 ===Data Description===
-These data were acquired for and used by [http://en.wikipedia.org/wiki/Ronald_Fisher R.A. Fisher] to study The use of multiple measurements in taxonomic problems.
+These data were acquired for and used by [http://en.wikipedia.org/wiki/Ronald_Fisher R.A. Fisher] to study the use of multiple measurements in taxonomic problems.
 These data are commonly used in the pattern recognition and multivariate data analyses. The data set contains 3 classes (Iris types) each containing 50 observations (for a total of 150 observations). One class is linearly separable from the other two, but the latter are difficult to linearly separable from each other. The class of the iris plant may be used as the predicted variable. There are 4 variables which can be used as predictive (explanatory) attributes of the Iris class.