> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kinetica.com/llms.txt
> Use this file to discover all available pages before exploring further.

# kinetica.AggregateStatisticsRequest.Stats

> kinetica.AggregateStatisticsRequest.Stats — Kinetica C# API

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    <p>A set of string constants for the parameter <a className="el" href="/content/api/cs/classkinetica_1_1AggregateStatisticsRequest#a5b71930496e24bf92a8255b6087c7a4d" title="Comma separated list of the statistics to calculate, e.g.">AggregateStatisticsRequest.stats</a>. <a href="#details">More...</a></p>

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            Static Public Attributes
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a1d2d290d476df9298613017ff2a5beba">COUNT</a> = "count"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Number of objects (independent of the given column(s)). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#ab5fb571e4e9cd0a868e00ebb02e39ec5">MEAN</a> = "mean"</td>
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      <tr className="memdesc:ab5fb571e4e9cd0a868e00ebb02e39ec5">
        <td className="mdescLeft"> </td>
        <td className="mdescRight">Arithmetic mean (average), equivalent to sum/count. <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a2a7cb3fb00a4a46add353855681c9612">STDV</a> = "stdv"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Sample standard deviation (denominator is count-1). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a4078fbc16884aff4e45915feabec72c2">VARIANCE</a> = "variance"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Unbiased sample variance (denominator is count-1). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#aa1104b17e525829865af87cb5483e773">SKEW</a> = "skew"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Skewness (third standardized moment). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#aa79a1a1776b7d294fe2210c38881e77c">KURTOSIS</a> = "kurtosis"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Kurtosis (fourth standardized moment). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a61af5c5f290f944b3d59bbbe281a36be">SUM</a> = "sum"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Sum of all values in the column(s). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#ad6fa1ef1242407b30f12314e18f0bd66">MIN</a> = "min"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Minimum value of the column(s). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a59d17724a5382e5dc6ca903cb8f32722">MAX</a> = "max"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Maximum value of the column(s). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a70ad37e69b7d6710837e18de9713fc10">WEIGHTED\_AVERAGE</a> = "weighted\_average"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Weighted arithmetic mean (using the option <a className="el" href="/content/api/cs/structkinetica_1_1AggregateStatisticsRequest_1_1Options#a2d9a1f9e9945044e64dd81527a8d2a47">WEIGHT\_COLUMN\_NAME</a> as the weighting column). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a116f7f0f7f3b46136c3dcb78e5afc963">CARDINALITY</a> = "cardinality"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Number of unique values in the column(s). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#a20a11628c07613e3ae2ba3583f690a66">ESTIMATED\_CARDINALITY</a> = "estimated\_cardinality"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Estimate (via hyperloglog technique) of the number of unique values in the column(s). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#aacd763b025f8f2595b9703a893d0b3d1">PERCENTILE</a> = "percentile"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Estimate (via t-digest) of the given percentile of the column(s) (percentile(50.0) will be an approximation of the median). <br /></td>
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        <td className="memItemLeft" align="right" valign="top">const string </td>
        <td className="memItemRight" valign="bottom"><a className="el" href="#af4bfd852c306355293fe5578b61817de">PERCENTILE\_RANK</a> = "percentile\_rank"</td>
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        <td className="mdescLeft"> </td>
        <td className="mdescRight">Estimate (via t-digest) of the percentile rank of the given value in the column(s) (if the given value is the median of the column(s), percentile\_rank(\<median>) will return approximately 50.0). <br /></td>
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    <h2 className="groupheader">Detailed Description</h2>

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      <p>A set of string constants for the parameter <a className="el" href="/content/api/cs/classkinetica_1_1AggregateStatisticsRequest#a5b71930496e24bf92a8255b6087c7a4d" title="Comma separated list of the statistics to calculate, e.g.">AggregateStatisticsRequest.stats</a>. </p>
      <p>Comma separated list of the statistics to calculate, e.g. "sum,mean".</p>
      <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L77">77</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="groupheader">Member Data Documentation</h2>

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    <h2 className="memtitle"><span className="permalink"><a href="#a116f7f0f7f3b46136c3dcb78e5afc963">◆ </a></span>CARDINALITY</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.CARDINALITY = "cardinality"</td>
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            <td className="mlabels-right"> <span className="mlabels"><span className="mlabel static">static</span></span> </td>
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        <p>Number of unique values in the column(s). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L116">116</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a1d2d290d476df9298613017ff2a5beba">◆ </a></span>COUNT</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.COUNT = "count"</td>
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        <p>Number of objects (independent of the given column(s)). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L81">81</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a20a11628c07613e3ae2ba3583f690a66">◆ </a></span>ESTIMATED\_CARDINALITY</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.ESTIMATED\_CARDINALITY = "estimated\_cardinality"</td>
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        <p>Estimate (via hyperloglog technique) of the number of unique values in the column(s). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L120">120</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#aa79a1a1776b7d294fe2210c38881e77c">◆ </a></span>KURTOSIS</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.KURTOSIS = "kurtosis"</td>
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        <p>Kurtosis (fourth standardized moment). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L99">99</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a59d17724a5382e5dc6ca903cb8f32722">◆ </a></span>MAX</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.MAX = "max"</td>
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        <p>Maximum value of the column(s). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L108">108</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#ab5fb571e4e9cd0a868e00ebb02e39ec5">◆ </a></span>MEAN</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.MEAN = "mean"</td>
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        <p>Arithmetic mean (average), equivalent to sum/count. </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L85">85</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#ad6fa1ef1242407b30f12314e18f0bd66">◆ </a></span>MIN</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.MIN = "min"</td>
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        <p>Minimum value of the column(s). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L105">105</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#aacd763b025f8f2595b9703a893d0b3d1">◆ </a></span>PERCENTILE</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.PERCENTILE = "percentile"</td>
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        <p>Estimate (via t-digest) of the given percentile of the column(s) (percentile(50.0) will be an approximation of the median). </p>
        <p>Add a second, comma-separated value to calculate percentile resolution, e.g., 'percentile(75,150)'.</p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L127">127</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#af4bfd852c306355293fe5578b61817de">◆ </a></span>PERCENTILE\_RANK</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.PERCENTILE\_RANK = "percentile\_rank"</td>
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        <p>Estimate (via t-digest) of the percentile rank of the given value in the column(s) (if the given value is the median of the column(s), percentile\_rank(\<median>) will return approximately 50.0). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L133">133</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#aa1104b17e525829865af87cb5483e773">◆ </a></span>SKEW</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.SKEW = "skew"</td>
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        <p>Skewness (third standardized moment). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L96">96</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a2a7cb3fb00a4a46add353855681c9612">◆ </a></span>STDV</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.STDV = "stdv"</td>
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        <p>Sample standard deviation (denominator is count-1). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L89">89</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a61af5c5f290f944b3d59bbbe281a36be">◆ </a></span>SUM</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.SUM = "sum"</td>
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        <p>Sum of all values in the column(s). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L102">102</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a4078fbc16884aff4e45915feabec72c2">◆ </a></span>VARIANCE</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.VARIANCE = "variance"</td>
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        <p>Unbiased sample variance (denominator is count-1). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L93">93</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <h2 className="memtitle"><span className="permalink"><a href="#a70ad37e69b7d6710837e18de9713fc10">◆ </a></span>WEIGHTED\_AVERAGE</h2>

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                  <td className="memname">const string kinetica.AggregateStatisticsRequest.Stats.WEIGHTED\_AVERAGE = "weighted\_average"</td>
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        <p>Weighted arithmetic mean (using the option <a className="el" href="/content/api/cs/structkinetica_1_1AggregateStatisticsRequest_1_1Options#a2d9a1f9e9945044e64dd81527a8d2a47">WEIGHT\_COLUMN\_NAME</a> as the weighting column). </p>
        <p className="definition">Definition at line <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs#L113">113</a> of file <a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a>.</p>
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    <hr />

    The documentation for this struct was generated from the following file:

    <ul>
      <li>Kinetica/Protocol/<a className="el" href="https://github.com/kineticadb/kinetica-api-cs/blob/master/Kinetica/Protocol/AggregateStatistics.cs">AggregateStatistics.cs</a></li>
    </ul>
  </div>
</div>


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