Waterquality


Water samples were collected from 4 cities. The physico-chemical properties were measured. It is of interest to compare water in different cities. It is also intended to try cluster analysis after ignoring the city label (are original groups identified?). If water quality is similar then water treatment can be similar.


datasets

Collection of datasets as prepared by Profs. A.P. Gore, S.A. Paranjape, and M.B. Kulkarni of Department of Statistics, Poona University, India. With their permission, first letter of their names forms the name of this package, the package has been built by me and made available for the benefit of R users. This collection requires a rich class of models and can be a very useful building block for a beginner.

Prabhanjan Tattar

100 Data Sets for Statistics Education

Waterquality function

A data frame with 63 observations on the following 10 variables.
  <dl>
    <dt><code>City</code></dt><dd>a factor with levels <code>City1</code> <code>City2</code> <code>City3</code> <code>City4</code></dd> <dt><code>pH</code></dt><dd>pH</dd> <dt><code>Conductivity</code></dt><dd>Conductivity</dd> <dt><code>Total_Dissolved_Solid</code></dt><dd>Total dissolved solid</dd> <dt><code>Alkalinity</code></dt><dd>Alkalinity</dd> <dt><code>Hardness</code></dt><dd>Hardness of the water</dd> <dt><code>Calcium_Hardness</code></dt><dd>Calcium hardness</dd> <dt><code>Magnesium_Hardness</code></dt><dd>Magnesium hardness in the water</dd> <dt><code>Chlorides</code></dt><dd>Chlorides</dd> <dt><code>Sulphates</code></dt><dd>Sulphates</dd> </dl> 

Format

http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html

Waterquality: Water quality analysis using clustering

Description

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